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1. Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years.

Author

Dima, Danai, Modabbernia, Amirhossein, Papachristou, Efstathios, Doucet, Gaelle E, Agartz, Ingrid, Aghajani, Moji, Akudjedu, Theophilus N, Albajes-Eizagirre, Anton, Alnaes, Dag, Alpert, Kathryn I, Andersson, Micael, Andreasen, Nancy C, Andreassen, Ole A, Asherson, Philip, Banaschewski, Tobias, Bargallo, Nuria, Baumeister, Sarah, Baur-Streubel, Ramona, Bertolino, Alessandro, Bonvino, Aurora, Boomsma, Dorret I, Borgwardt, Stefan, Bourque, Josiane, Brandeis, Daniel, Breier, Alan, Brodaty, Henry, Brouwer, Rachel M, Buitelaar, Jan K, Busatto, Geraldo F, Buckner, Randy L, Calhoun, Vincent, Canales-Rodríguez, Erick J, Cannon, Dara M, Caseras, Xavier, Castellanos, Francisco X, Cervenka, Simon, Chaim-Avancini, Tiffany M, Ching, Christopher RK, Chubar, Victoria, Clark, Vincent P, Conrod, Patricia, Conzelmann, Annette, Crespo-Facorro, Benedicto, Crivello, Fabrice, Crone, Eveline A, Dannlowski, Udo, Dale, Anders M, Davey, Christopher, de Geus, Eco JC, de Haan, Lieuwe, de Zubicaray, Greig I, den Braber, Anouk, Dickie, Erin W, Di Giorgio, Annabella, Doan, Nhat Trung, Dørum, Erlend S, Ehrlich, Stefan, Erk, Susanne, Espeseth, Thomas, Fatouros-Bergman, Helena, Fisher, Simon E, Fouche, Jean-Paul, Franke, Barbara, Frodl, Thomas, Fuentes-Claramonte, Paola, Glahn, David C, Gotlib, Ian H, Grabe, Hans-Jörgen, Grimm, Oliver, Groenewold, Nynke A, Grotegerd, Dominik, Gruber, Oliver, Gruner, Patricia, Gur, Rachel E, Gur, Ruben C, Hahn, Tim, Harrison, Ben J, Hartman, Catharine A, Hatton, Sean N, Heinz, Andreas, Heslenfeld, Dirk J, Hibar, Derrek P, Hickie, Ian B, Ho, Beng-Choon, Hoekstra, Pieter J, Hohmann, Sarah, Holmes, Avram J, Hoogman, Martine, Hosten, Norbert, Howells, Fleur M, Hulshoff Pol, Hilleke E, Huyser, Chaim, Jahanshad, Neda, James, Anthony, Jernigan, Terry L, Jiang, Jiyang, Jönsson, Erik G, Joska, John A, Kahn, Rene, and Kalnin, Andrew

Subjects
Karolinska Schizophrenia Project, Amygdala, Hippocampus, Thalamus, Corpus Striatum, Humans, Human Development, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, Child, Child, Preschool, Female, Male, Young Adult, Neuroimaging, ENIGMA, brain morphometry, longitudinal trajectories, multisite, Neurosciences, Aging, Aetiology, 2.1 Biological and endogenous factors, Mental health, Cognitive Sciences, Experimental Psychology
Abstract

Age has a major effect on brain volume. However, the normative studies available are constrained by small sample sizes, restricted age coverage and significant methodological variability. These limitations introduce inconsistencies and may obscure or distort the lifespan trajectories of brain morphometry. In response, we capitalized on the resources of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to examine age-related trajectories inferred from cross-sectional measures of the ventricles, the basal ganglia (caudate, putamen, pallidum, and nucleus accumbens), the thalamus, hippocampus and amygdala using magnetic resonance imaging data obtained from 18,605 individuals aged 3-90 years. All subcortical structure volumes were at their maximum value early in life. The volume of the basal ganglia showed a monotonic negative association with age thereafter; there was no significant association between age and the volumes of the thalamus, amygdala and the hippocampus (with some degree of decline in thalamus) until the sixth decade of life after which they also showed a steep negative association with age. The lateral ventricles showed continuous enlargement throughout the lifespan. Age was positively associated with inter-individual variability in the hippocampus and amygdala and the lateral ventricles. These results were robust to potential confounders and could be used to examine the functional significance of deviations from typical age-related morphometric patterns.

Published
2022

2. Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3–90 years

Author

Frangou, Sophia, Modabbernia, Amirhossein, Williams, Steven CR, Papachristou, Efstathios, Doucet, Gaelle E, Agartz, Ingrid, Aghajani, Moji, Akudjedu, Theophilus N, Albajes‐Eizagirre, Anton, Alnæs, Dag, Alpert, Kathryn I, Andersson, Micael, Andreasen, Nancy C, Andreassen, Ole A, Asherson, Philip, Banaschewski, Tobias, Bargallo, Nuria, Baumeister, Sarah, Baur‐Streubel, Ramona, Bertolino, Alessandro, Bonvino, Aurora, Boomsma, Dorret I, Borgwardt, Stefan, Bourque, Josiane, Brandeis, Daniel, Breier, Alan, Brodaty, Henry, Brouwer, Rachel M, Buitelaar, Jan K, Busatto, Geraldo F, Buckner, Randy L, Calhoun, Vincent, Canales‐Rodríguez, Erick J, Cannon, Dara M, Caseras, Xavier, Castellanos, Francisco X, Cervenka, Simon, Chaim‐Avancini, Tiffany M, Ching, Christopher RK, Chubar, Victoria, Clark, Vincent P, Conrod, Patricia, Conzelmann, Annette, Crespo‐Facorro, Benedicto, Crivello, Fabrice, Crone, Eveline A, Dale, Anders M, Dannlowski, Udo, Davey, Christopher, Geus, Eco JC, Haan, Lieuwe, Zubicaray, Greig I, Braber, Anouk, Dickie, Erin W, Di Giorgio, Annabella, Doan, Nhat Trung, Dørum, Erlend S, Ehrlich, Stefan, Erk, Susanne, Espeseth, Thomas, Fatouros‐Bergman, Helena, Fisher, Simon E, Fouche, Jean‐Paul, Franke, Barbara, Frodl, Thomas, Fuentes‐Claramonte, Paola, Glahn, David C, Gotlib, Ian H, Grabe, Hans‐Jörgen, Grimm, Oliver, Groenewold, Nynke A, Grotegerd, Dominik, Gruber, Oliver, Gruner, Patricia, Gur, Rachel E, Gur, Ruben C, Hahn, Tim, Harrison, Ben J, Hartman, Catharine A, Hatton, Sean N, Heinz, Andreas, Heslenfeld, Dirk J, Hibar, Derrek P, Hickie, Ian B, Ho, Beng‐Choon, Hoekstra, Pieter J, Hohmann, Sarah, Holmes, Avram J, Hoogman, Martine, Hosten, Norbert, Howells, Fleur M, Pol, Hilleke E Hulshoff, Huyser, Chaim, Jahanshad, Neda, James, Anthony, Jernigan, Terry L, Jiang, Jiyang, Jönsson, Erik G, Joska, John A, and Kahn, Rene

Subjects
Behavioral and Social Science, Neurosciences, Aging, Adolescent, Adult, Aged, Aged, 80 and over, Cerebral Cortex, Child, Child, Preschool, Cross-Sectional Studies, Female, Human Development, Humans, Male, Middle Aged, Neuroimaging, Young Adult, aging, cortical thickness, development, trajectories, Karolinska Schizophrenia Project, Cognitive Sciences, Experimental Psychology
Abstract

Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 individuals aged 3-90 years from the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta-analysis and one-way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes.

Published
2022

3. 1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans

Author

Sønderby, Ida E, van der Meer, Dennis, Moreau, Clara, Kaufmann, Tobias, Walters, G Bragi, Ellegaard, Maria, Abdellaoui, Abdel, Ames, David, Amunts, Katrin, Andersson, Micael, Armstrong, Nicola J, Bernard, Manon, Blackburn, Nicholas B, Blangero, John, Boomsma, Dorret I, Brodaty, Henry, Brouwer, Rachel M, Bülow, Robin, Bøen, Rune, Cahn, Wiepke, Calhoun, Vince D, Caspers, Svenja, Ching, Christopher RK, Cichon, Sven, Ciufolini, Simone, Crespo-Facorro, Benedicto, Curran, Joanne E, Dale, Anders M, Dalvie, Shareefa, Dazzan, Paola, de Geus, Eco JC, de Zubicaray, Greig I, de Zwarte, Sonja MC, Desrivieres, Sylvane, Doherty, Joanne L, Donohoe, Gary, Draganski, Bogdan, Ehrlich, Stefan, Eising, Else, Espeseth, Thomas, Fejgin, Kim, Fisher, Simon E, Fladby, Tormod, Frei, Oleksandr, Frouin, Vincent, Fukunaga, Masaki, Gareau, Thomas, Ge, Tian, Glahn, David C, Grabe, Hans J, Groenewold, Nynke A, Gústafsson, Ómar, Haavik, Jan, Haberg, Asta K, Hall, Jeremy, Hashimoto, Ryota, Hehir-Kwa, Jayne Y, Hibar, Derrek P, Hillegers, Manon HJ, Hoffmann, Per, Holleran, Laurena, Holmes, Avram J, Homuth, Georg, Hottenga, Jouke-Jan, Hulshoff Pol, Hilleke E, Ikeda, Masashi, Jahanshad, Neda, Jockwitz, Christiane, Johansson, Stefan, Jönsson, Erik G, Jørgensen, Niklas R, Kikuchi, Masataka, Knowles, Emma EM, Kumar, Kuldeep, Le Hellard, Stephanie, Leu, Costin, Linden, David EJ, Liu, Jingyu, Lundervold, Arvid, Lundervold, Astri Johansen, Maillard, Anne M, Martin, Nicholas G, Martin-Brevet, Sandra, Mather, Karen A, Mathias, Samuel R, McMahon, Katie L, McRae, Allan F, Medland, Sarah E, Meyer-Lindenberg, Andreas, Moberget, Torgeir, Modenato, Claudia, Sánchez, Jennifer Monereo, Morris, Derek W, Mühleisen, Thomas W, Murray, Robin M, Nielsen, Jacob, Nordvik, Jan E, Nyberg, Lars, Loohuis, Loes M Olde, and Ophoff, Roel A

Subjects
Intellectual and Developmental Disabilities (IDD), Brain Disorders, Genetics, Neurosciences, Behavioral and Social Science, Mental Health, Autism, Schizophrenia, Neurological, Mental health, Brain, Chromosome Deletion, Cognition, DNA Copy Number Variations, Female, Humans, Male, ENIGMA-CNV working group, Clinical Sciences, Public Health and Health Services, Psychology
Abstract

Low-frequency 1q21.1 distal deletion and duplication copy number variant (CNV) carriers are predisposed to multiple neurodevelopmental disorders, including schizophrenia, autism and intellectual disability. Human carriers display a high prevalence of micro- and macrocephaly in deletion and duplication carriers, respectively. The underlying brain structural diversity remains largely unknown. We systematically called CNVs in 38 cohorts from the large-scale ENIGMA-CNV collaboration and the UK Biobank and identified 28 1q21.1 distal deletion and 22 duplication carriers and 37,088 non-carriers (48% male) derived from 15 distinct magnetic resonance imaging scanner sites. With standardized methods, we compared subcortical and cortical brain measures (all) and cognitive performance (UK Biobank only) between carrier groups also testing for mediation of brain structure on cognition. We identified positive dosage effects of copy number on intracranial volume (ICV) and total cortical surface area, with the largest effects in frontal and cingulate cortices, and negative dosage effects on caudate and hippocampal volumes. The carriers displayed distinct cognitive deficit profiles in cognitive tasks from the UK Biobank with intermediate decreases in duplication carriers and somewhat larger in deletion carriers-the latter potentially mediated by ICV or cortical surface area. These results shed light on pathobiological mechanisms of neurodevelopmental disorders, by demonstrating gene dose effect on specific brain structures and effect on cognitive function.

Published
2021

4. Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia

Author

Sønderby, Ida E, Gústafsson, Ómar, Doan, Nhat Trung, Hibar, Derrek P, Martin-Brevet, Sandra, Abdellaoui, Abdel, Ames, David, Amunts, Katrin, Andersson, Michael, Armstrong, Nicola J, Bernard, Manon, Blackburn, Nicholas, Blangero, John, Boomsma, Dorret I, Bralten, Janita, Brattbak, Hans-Richard, Brodaty, Henry, Brouwer, Rachel M, Bülow, Robin, Calhoun, Vince, Caspers, Svenja, Cavalleri, Gianpiero, Chen, Chi-Hua, Cichon, Sven, Ciufolini, Simone, Corvin, Aiden, Crespo-Facorro, Benedicto, Curran, Joanne E, Dale, Anders M, Dalvie, Shareefa, Dazzan, Paola, de Geus, Eco JC, de Zubicaray, Greig I, de Zwarte, Sonja MC, Delanty, Norman, den Braber, Anouk, Desrivières, Sylvane, Donohoe, Gary, Draganski, Bogdan, Ehrlich, Stefan, Espeseth, Thomas, Fisher, Simon E, Franke, Barbara, Frouin, Vincent, Fukunaga, Masaki, Gareau, Thomas, Glahn, David C, Grabe, Hans, Groenewold, Nynke A, Haavik, Jan, Håberg, Asta, Hashimoto, Ryota, Hehir-Kwa, Jayne Y, Heinz, Andreas, Hillegers, Manon HJ, Hoffmann, Per, Holleran, Laurena, Hottenga, Jouke-Jan, Hulshoff, Hilleke E, Ikeda, Masashi, Jahanshad, Neda, Jernigan, Terry, Jockwitz, Christiane, Johansson, Stefan, Jonsdottir, Gudrun A, Jönsson, Erik G, Kahn, Rene, Kaufmann, Tobias, Kelly, Sinead, Kikuchi, Masataka, Knowles, Emma EM, Kolskår, Knut K, Kwok, John B, Hellard, Stephanie Le, Leu, Costin, Liu, Jingyu, Lundervold, Astri J, Lundervold, Arvid, Martin, Nicholas G, Mather, Karen, Mathias, Samuel R, McCormack, Mark, McMahon, Katie L, McRae, Allan, Milaneschi, Yuri, Moreau, Clara, Morris, Derek, Mothersill, David, Mühleisen, Thomas W, Murray, Robin, Nordvik, Jan E, Nyberg, Lars, Olde Loohuis, Loes M, Ophoff, Roel, Paus, Tomas, Pausova, Zdenka, Penninx, Brenda, Peralta, Juan M, Pike, Bruce, and Prieto, Carlos

Subjects
Intellectual and Developmental Disabilities (IDD), Neurosciences, Brain Disorders, Autism, Biomedical Imaging, Mental Health, Mental health, Adult, Autism Spectrum Disorder, Autistic Disorder, Basal Ganglia, Brain, Chromosome Deletion, Chromosome Disorders, Chromosome Duplication, Chromosomes, Human, Pair 16, DNA Copy Number Variations, Databases, Factual, Female, Globus Pallidus, Humans, Image Processing, Computer-Assisted, Intellectual Disability, Magnetic Resonance Imaging, Male, Middle Aged, Neurodevelopmental Disorders, Organ Size, Putamen, Schizophrenia, 16p11.2 European Consortium, for the ENIGMA-CNV working group, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

Carriers of large recurrent copy number variants (CNVs) have a higher risk of developing neurodevelopmental disorders. The 16p11.2 distal CNV predisposes carriers to e.g., autism spectrum disorder and schizophrenia. We compared subcortical brain volumes of 12 16p11.2 distal deletion and 12 duplication carriers to 6882 non-carriers from the large-scale brain Magnetic Resonance Imaging collaboration, ENIGMA-CNV. After stringent CNV calling procedures, and standardized FreeSurfer image analysis, we found negative dose-response associations with copy number on intracranial volume and on regional caudate, pallidum and putamen volumes (β = -0.71 to -1.37; P

Published
2020

5. Common brain disorders are associated with heritable patterns of apparent aging of the brain

Author

Kaufmann, Tobias, van der Meer, Dennis, Doan, Nhat Trung, Schwarz, Emanuel, Lund, Martina J, Agartz, Ingrid, Alnæs, Dag, Barch, Deanna M, Baur-Streubel, Ramona, Bertolino, Alessandro, Bettella, Francesco, Beyer, Mona K, Bøen, Erlend, Borgwardt, Stefan, Brandt, Christine L, Buitelaar, Jan, Celius, Elisabeth G, Cervenka, Simon, Conzelmann, Annette, Córdova-Palomera, Aldo, Dale, Anders M, de Quervain, Dominique JF, Di Carlo, Pasquale, Djurovic, Srdjan, Dørum, Erlend S, Eisenacher, Sarah, Elvsåshagen, Torbjørn, Espeseth, Thomas, Fatouros-Bergman, Helena, Flyckt, Lena, Franke, Barbara, Frei, Oleksandr, Haatveit, Beathe, Håberg, Asta K, Harbo, Hanne F, Hartman, Catharina A, Heslenfeld, Dirk, Hoekstra, Pieter J, Høgestøl, Einar A, Jernigan, Terry L, Jonassen, Rune, Jönsson, Erik G, Kirsch, Peter, Kłoszewska, Iwona, Kolskår, Knut K, Landrø, Nils Inge, Le Hellard, Stephanie, Lesch, Klaus-Peter, Lovestone, Simon, Lundervold, Arvid, Lundervold, Astri J, Maglanoc, Luigi A, Malt, Ulrik F, Mecocci, Patrizia, Melle, Ingrid, Meyer-Lindenberg, Andreas, Moberget, Torgeir, Norbom, Linn B, Nordvik, Jan Egil, Nyberg, Lars, Oosterlaan, Jaap, Papalino, Marco, Papassotiropoulos, Andreas, Pauli, Paul, Pergola, Giulio, Persson, Karin, Richard, Geneviève, Rokicki, Jaroslav, Sanders, Anne-Marthe, Selbæk, Geir, Shadrin, Alexey A, Smeland, Olav B, Soininen, Hilkka, Sowa, Piotr, Steen, Vidar M, Tsolaki, Magda, Ulrichsen, Kristine M, Vellas, Bruno, Wang, Lei, Westman, Eric, Ziegler, Georg C, Zink, Mathias, Andreassen, Ole A, and Westlye, Lars T

Subjects
Biological Psychology, Psychology, Rare Diseases, Mental Health, Neurosciences, Brain Disorders, Biomedical Imaging, Aging, Aetiology, 2.3 Psychological, social and economic factors, 1.1 Normal biological development and functioning, Underpinning research, Mental health, Neurological, Adolescent, Adult, Aged, Aged, 80 and over, Algorithms, Brain, Brain Diseases, Child, Child, Preschool, Female, Genome-Wide Association Study, Humans, Infant, Magnetic Resonance Imaging, Male, Mental Disorders, Middle Aged, Neuropsychological Tests, Schizophrenia, Sex Characteristics, Young Adult, Karolinska Schizophrenia Project, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Common risk factors for psychiatric and other brain disorders are likely to converge on biological pathways influencing the development and maintenance of brain structure and function across life. Using structural MRI data from 45,615 individuals aged 3-96 years, we demonstrate distinct patterns of apparent brain aging in several brain disorders and reveal genetic pleiotropy between apparent brain aging in healthy individuals and common brain disorders.

Published
2019

6. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence

Author

Savage, Jeanne E, Jansen, Philip R, Stringer, Sven, Watanabe, Kyoko, Bryois, Julien, de Leeuw, Christiaan A, Nagel, Mats, Awasthi, Swapnil, Barr, Peter B, Coleman, Jonathan RI, Grasby, Katrina L, Hammerschlag, Anke R, Kaminski, Jakob A, Karlsson, Robert, Krapohl, Eva, Lam, Max, Nygaard, Marianne, Reynolds, Chandra A, Trampush, Joey W, Young, Hannah, Zabaneh, Delilah, Hägg, Sara, Hansell, Narelle K, Karlsson, Ida K, Linnarsson, Sten, Montgomery, Grant W, Muñoz-Manchado, Ana B, Quinlan, Erin B, Schumann, Gunter, Skene, Nathan G, Webb, Bradley T, White, Tonya, Arking, Dan E, Avramopoulos, Dimitrios, Bilder, Robert M, Bitsios, Panos, Burdick, Katherine E, Cannon, Tyrone D, Chiba-Falek, Ornit, Christoforou, Andrea, Cirulli, Elizabeth T, Congdon, Eliza, Corvin, Aiden, Davies, Gail, Deary, Ian J, DeRosse, Pamela, Dickinson, Dwight, Djurovic, Srdjan, Donohoe, Gary, Conley, Emily Drabant, Eriksson, Johan G, Espeseth, Thomas, Freimer, Nelson A, Giakoumaki, Stella, Giegling, Ina, Gill, Michael, Glahn, David C, Hariri, Ahmad R, Hatzimanolis, Alex, Keller, Matthew C, Knowles, Emma, Koltai, Deborah, Konte, Bettina, Lahti, Jari, Le Hellard, Stephanie, Lencz, Todd, Liewald, David C, London, Edythe, Lundervold, Astri J, Malhotra, Anil K, Melle, Ingrid, Morris, Derek, Need, Anna C, Ollier, William, Palotie, Aarno, Payton, Antony, Pendleton, Neil, Poldrack, Russell A, Räikkönen, Katri, Reinvang, Ivar, Roussos, Panos, Rujescu, Dan, Sabb, Fred W, Scult, Matthew A, Smeland, Olav B, Smyrnis, Nikolaos, Starr, John M, Steen, Vidar M, Stefanis, Nikos C, Straub, Richard E, Sundet, Kjetil, Tiemeier, Henning, Voineskos, Aristotle N, Weinberger, Daniel R, Widen, Elisabeth, Yu, Jin, Abecasis, Goncalo, Andreassen, Ole A, Breen, Gerome, and Christiansen, Lene

Subjects
Biological Sciences, Genetics, Brain Disorders, Mental Health, Human Genome, Biotechnology, Neurosciences, Underpinning research, 1.1 Normal biological development and functioning, 2.1 Biological and endogenous factors, Aetiology, Mental health, Neurological, Adolescent, Brain, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Intelligence, Male, Middle Aged, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Intelligence is highly heritable1 and a major determinant of human health and well-being2. Recent genome-wide meta-analyses have identified 24 genomic loci linked to variation in intelligence3-7, but much about its genetic underpinnings remains to be discovered. Here, we present a large-scale genetic association study of intelligence (n = 269,867), identifying 205 associated genomic loci (190 new) and 1,016 genes (939 new) via positional mapping, expression quantitative trait locus (eQTL) mapping, chromatin interaction mapping, and gene-based association analysis. We find enrichment of genetic effects in conserved and coding regions and associations with 146 nonsynonymous exonic variants. Associated genes are strongly expressed in the brain, specifically in striatal medium spiny neurons and hippocampal pyramidal neurons. Gene set analyses implicate pathways related to nervous system development and synaptic structure. We confirm previous strong genetic correlations with multiple health-related outcomes, and Mendelian randomization analysis results suggest protective effects of intelligence for Alzheimer's disease and ADHD and bidirectional causation with pleiotropic effects for schizophrenia. These results are a major step forward in understanding the neurobiology of cognitive function as well as genetically related neurological and psychiatric disorders.

Published
2018

7. Williams Syndrome neuroanatomical score associates with GTF2IRD1 in large-scale magnetic resonance imaging cohorts: a proof of concept for multivariate endophenotypes.

Author

Fan, Chun Chieh, Schork, Andrew J, Brown, Timothy T, Spencer, Barbara E, Akshoomoff, Natacha, Chen, Chi-Hua, Kuperman, Joshua M, Hagler, Donald J, Steen, Vidar M, Le Hellard, Stephanie, Håberg, Asta Kristine, Espeseth, Thomas, Andreassen, Ole A, Dale, Anders M, Jernigan, Terry L, Halgren, Eric, and Pediatric Imaging, Neurocognition and Genetics Study, Alzheimer’s Disease Neuroimaging Initiative

Subjects
Pediatric Imaging, Neurocognition and Genetics Study, Alzheimer’s Disease Neuroimaging Initiative, Hippocampus, Humans, Williams Syndrome, Muscle Proteins, Trans-Activators, Nuclear Proteins, Magnetic Resonance Imaging, Multivariate Analysis, Case-Control Studies, Polymorphism, Single Nucleotide, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, Child, Child, Preschool, Europe, Female, Male, Young Adult, Endophenotypes, Proof of Concept Study, Pediatric Imaging, Neurocognition and Genetics Study, Alzheimer’s Disease Neuroimaging Initiative, Polymorphism, Single Nucleotide, and over, Preschool, Brain Disorders, Clinical Research, Biomedical Imaging, Neurosciences, Genetics, Pediatric, Mental Health, 2.1 Biological and endogenous factors, Psychology, Clinical Sciences, Public Health and Health Services
Abstract

Despite great interest in using magnetic resonance imaging (MRI) for studying the effects of genes on brain structure in humans, current approaches have focused almost entirely on predefined regions of interest and had limited success. Here, we used multivariate methods to define a single neuroanatomical score of how William's Syndrome (WS) brains deviate structurally from controls. The score is trained and validated on measures of T1 structural brain imaging in two WS cohorts (training, n = 38; validating, n = 60). We then associated this score with single nucleotide polymorphisms (SNPs) in the WS hemi-deleted region in five cohorts of neurologically and psychiatrically typical individuals (healthy European descendants, n = 1863). Among 110 SNPs within the 7q11.23 WS chromosomal region, we found one associated locus (p = 5e-5) located at GTF2IRD1, which has been implicated in animal models of WS. Furthermore, the genetic signals of neuroanatomical scores are highly enriched locally in the 7q11.23 compared with summary statistics based on regions of interest, such as hippocampal volumes (n = 12,596), and also globally (SNP-heritability = 0.82, se = 0.25, p = 5e-4). The role of genetic variability in GTF2IRD1 during neurodevelopment extends to healthy subjects. Our approach of learning MRI-derived phenotypes from clinical populations with well-established brain abnormalities characterized by known genetic lesions may be a powerful alternative to traditional region of interest-based studies for identifying genetic variants regulating typical brain development.

Published
2018

8. Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets

Author

Lam, Max, Trampush, Joey W, Yu, Jin, Knowles, Emma, Davies, Gail, Liewald, David C, Starr, John M, Djurovic, Srdjan, Melle, Ingrid, Sundet, Kjetil, Christoforou, Andrea, Reinvang, Ivar, DeRosse, Pamela, Lundervold, Astri J, Steen, Vidar M, Espeseth, Thomas, Räikkönen, Katri, Widen, Elisabeth, Palotie, Aarno, Eriksson, Johan G, Giegling, Ina, Konte, Bettina, Roussos, Panos, Giakoumaki, Stella, Burdick, Katherine E, Payton, Antony, Ollier, William, Chiba-Falek, Ornit, Attix, Deborah K, Need, Anna C, Cirulli, Elizabeth T, Voineskos, Aristotle N, Stefanis, Nikos C, Avramopoulos, Dimitrios, Hatzimanolis, Alex, Arking, Dan E, Smyrnis, Nikolaos, Bilder, Robert M, Freimer, Nelson A, Cannon, Tyrone D, London, Edythe, Poldrack, Russell A, Sabb, Fred W, Congdon, Eliza, Conley, Emily Drabant, Scult, Matthew A, Dickinson, Dwight, Straub, Richard E, Donohoe, Gary, Morris, Derek, Corvin, Aiden, Gill, Michael, Hariri, Ahmad R, Weinberger, Daniel R, Pendleton, Neil, Bitsios, Panos, Rujescu, Dan, Lahti, Jari, Le Hellard, Stephanie, Keller, Matthew C, Andreassen, Ole A, Deary, Ian J, Glahn, David C, Malhotra, Anil K, and Lencz, Todd

Subjects
Biological Sciences, Genetics, Mental Health, Aging, Brain Disorders, Biotechnology, Autoimmune Disease, Neurosciences, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Underpinning research, 1.1 Normal biological development and functioning, Mental health, Neurological, Cefotaxime, Cognition, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Nootropic Agents, Polymorphism, Single Nucleotide, Synapses, GWAS, calcium channel, cerebellum, gene expression, general cognitive ability, neurodevelopment, nootropics, potassium channel, synapse, Biochemistry and Cell Biology, Medical Physiology, Biological sciences
Abstract

Here, we present a large (n = 107,207) genome-wide association study (GWAS) of general cognitive ability ("g"), further enhanced by combining results with a large-scale GWAS of educational attainment. We identified 70 independent genomic loci associated with general cognitive ability. Results showed significant enrichment for genes causing Mendelian disorders with an intellectual disability phenotype. Competitive pathway analysis implicated the biological processes of neurogenesis and synaptic regulation, as well as the gene targets of two pharmacologic agents: cinnarizine, a T-type calcium channel blocker, and LY97241, a potassium channel inhibitor. Transcriptome-wide and epigenome-wide analysis revealed that the implicated loci were enriched for genes expressed across all brain regions (most strongly in the cerebellum). Enrichment was exclusive to genes expressed in neurons but not oligodendrocytes or astrocytes. Finally, we report genetic correlations between cognitive ability and disparate phenotypes including psychiatric disorders, several autoimmune disorders, longevity, and maternal age at first birth.

Published
2017

9. Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex.

Author

Guadalupe, Tulio, Mathias, Samuel R, vanErp, Theo GM, Whelan, Christopher D, Zwiers, Marcel P, Abe, Yoshinari, Abramovic, Lucija, Agartz, Ingrid, Andreassen, Ole A, Arias-Vásquez, Alejandro, Aribisala, Benjamin S, Armstrong, Nicola J, Arolt, Volker, Artiges, Eric, Ayesa-Arriola, Rosa, Baboyan, Vatche G, Banaschewski, Tobias, Barker, Gareth, Bastin, Mark E, Baune, Bernhard T, Blangero, John, Bokde, Arun LW, Boedhoe, Premika SW, Bose, Anushree, Brem, Silvia, Brodaty, Henry, Bromberg, Uli, Brooks, Samantha, Büchel, Christian, Buitelaar, Jan, Calhoun, Vince D, Cannon, Dara M, Cattrell, Anna, Cheng, Yuqi, Conrod, Patricia J, Conzelmann, Annette, Corvin, Aiden, Crespo-Facorro, Benedicto, Crivello, Fabrice, Dannlowski, Udo, de Zubicaray, Greig I, de Zwarte, Sonja MC, Deary, Ian J, Desrivières, Sylvane, Doan, Nhat Trung, Donohoe, Gary, Dørum, Erlend S, Ehrlich, Stefan, Espeseth, Thomas, Fernández, Guillén, Flor, Herta, Fouche, Jean-Paul, Frouin, Vincent, Fukunaga, Masaki, Gallinat, Jürgen, Garavan, Hugh, Gill, Michael, Suarez, Andrea Gonzalez, Gowland, Penny, Grabe, Hans J, Grotegerd, Dominik, Gruber, Oliver, Hagenaars, Saskia, Hashimoto, Ryota, Hauser, Tobias U, Heinz, Andreas, Hibar, Derrek P, Hoekstra, Pieter J, Hoogman, Martine, Howells, Fleur M, Hu, Hao, Hulshoff Pol, Hilleke E, Huyser, Chaim, Ittermann, Bernd, Jahanshad, Neda, Jönsson, Erik G, Jurk, Sarah, Kahn, Rene S, Kelly, Sinead, Kraemer, Bernd, Kugel, Harald, Kwon, Jun Soo, Lemaitre, Herve, Lesch, Klaus-Peter, Lochner, Christine, Luciano, Michelle, Marquand, Andre F, Martin, Nicholas G, Martínez-Zalacaín, Ignacio, Martinot, Jean-Luc, Mataix-Cols, David, Mather, Karen, McDonald, Colm, McMahon, Katie L, Medland, Sarah E, Menchón, José M, Morris, Derek W, Mothersill, Omar, Maniega, Susana Munoz, and Mwangi, Benson

Subjects
Brain, Humans, Magnetic Resonance Imaging, Organ Size, Aging, Sex Characteristics, Quantitative Trait, Heritable, Adolescent, Adult, Aged, Middle Aged, Female, Male, Functional Laterality, Meta-Analysis as Topic, Young Adult, Age, Enigma, Handedness, Heritability, Meta-analysis, Sex, Subcortical brain asymmetry, Quantitative Trait, Heritable, Medical and Health Sciences, Psychology and Cognitive Sciences, Experimental Psychology
Abstract

The two hemispheres of the human brain differ functionally and structurally. Despite over a century of research, the extent to which brain asymmetry is influenced by sex, handedness, age, and genetic factors is still controversial. Here we present the largest ever analysis of subcortical brain asymmetries, in a harmonized multi-site study using meta-analysis methods. Volumetric asymmetry of seven subcortical structures was assessed in 15,847 MRI scans from 52 datasets worldwide. There were sex differences in the asymmetry of the globus pallidus and putamen. Heritability estimates, derived from 1170 subjects belonging to 71 extended pedigrees, revealed that additive genetic factors influenced the asymmetry of these two structures and that of the hippocampus and thalamus. Handedness had no detectable effect on subcortical asymmetries, even in this unprecedented sample size, but the asymmetry of the putamen varied with age. Genetic drivers of asymmetry in the hippocampus, thalamus and basal ganglia may affect variability in human cognition, including susceptibility to psychiatric disorders.

Published
2017

10. Identification of Gene Loci That Overlap Between Schizophrenia and Educational Attainment.

Author

Le Hellard, Stéphanie, Wang, Yunpeng, Witoelar, Aree, Zuber, Verena, Bettella, Francesco, Hugdahl, Kenneth, Espeseth, Thomas, Steen, Vidar, Melle, Ingrid, Schork, Andrew, Djurovic, Srdjan, Andreassen, Ole, Dale, Anders, Thompson, Wesley, and Desikan, Rahul

Subjects
GWAS, conditional FDR, pleiotropy, Adult, Aptitude, Educational Status, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Schizophrenia
Abstract

There is evidence for genetic overlap between cognitive abilities and schizophrenia (SCZ), and genome-wide association studies (GWAS) demonstrate that both SCZ and general cognitive abilities have a strong polygenic component with many single-nucleotide polymorphisms (SNPs) each with a small effect. Here we investigated the shared genetic architecture between SCZ and educational attainment, which is regarded as a proxy phenotype for cognitive abilities, but may also reflect other traits. We applied a conditional false discovery rate (condFDR) method to GWAS of SCZ (n = 82 315), college completion (College, n = 95 427), and years of education (EduYears, n = 101 069). Variants associated with College or EduYears showed enrichment of association with SCZ, demonstrating polygenic overlap. This was confirmed by an increased replication rate in SCZ. By applying a condFDR threshold

Published
2017

11. GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium

Author

Trampush, JW, Yang, MLZ, Yu, J, Knowles, E, Davies, G, Liewald, DC, Starr, JM, Djurovic, S, Melle, I, Sundet, K, Christoforou, A, Reinvang, I, DeRosse, P, Lundervold, AJ, Steen, VM, Espeseth, T, Räikkönen, K, Widen, E, Palotie, A, Eriksson, JG, Giegling, I, Konte, B, Roussos, P, Giakoumaki, S, Burdick, KE, Payton, A, Ollier, W, Horan, M, Chiba-Falek, O, Attix, DK, Need, AC, Cirulli, ET, Voineskos, AN, Stefanis, NC, Avramopoulos, D, Hatzimanolis, A, Arking, DE, Smyrnis, N, Bilder, RM, Freimer, NA, Cannon, TD, London, E, Poldrack, RA, Sabb, FW, Congdon, E, Conley, ED, Scult, MA, Dickinson, D, Straub, RE, Donohoe, G, Morris, D, Corvin, A, Gill, M, Hariri, AR, Weinberger, DR, Pendleton, N, Bitsios, P, Rujescu, D, Lahti, J, Le Hellard, S, Keller, MC, Andreassen, OA, Deary, IJ, Glahn, DC, Malhotra, AK, and Lencz, T

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical and Health Psychology, Clinical Sciences, Psychology, Basic Behavioral and Social Science, Genetics, Behavioral and Social Science, Mental Health, Biotechnology, Prevention, Human Genome, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Mental health, Adult, Alleles, Cognition, Female, Gene Frequency, Genetic Association Studies, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Male, Middle Aged, Multifactorial Inheritance, Neurocognitive Disorders, Polymorphism, Single Nucleotide, White People, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

The complex nature of human cognition has resulted in cognitive genomics lagging behind many other fields in terms of gene discovery using genome-wide association study (GWAS) methods. In an attempt to overcome these barriers, the current study utilized GWAS meta-analysis to examine the association of common genetic variation (~8M single-nucleotide polymorphisms (SNP) with minor allele frequency ⩾1%) to general cognitive function in a sample of 35 298 healthy individuals of European ancestry across 24 cohorts in the Cognitive Genomics Consortium (COGENT). In addition, we utilized individual SNP lookups and polygenic score analyses to identify genetic overlap with other relevant neurobehavioral phenotypes. Our primary GWAS meta-analysis identified two novel SNP loci (top SNPs: rs76114856 in the CENPO gene on chromosome 2 and rs6669072 near LOC105378853 on chromosome 1) associated with cognitive performance at the genome-wide significance level (P

Published
2017

12. Conservation of Distinct Genetically-Mediated Human Cortical Pattern.

Author

Peng, Qian, Schork, Andrew, Bartsch, Hauke, Lo, Min-Tzu, Panizzon, Matthew S, Pediatric Imaging, Neurocognition and Genetics Study, Alzheimer’s Disease Neuroimaging Initiative, Westlye, Lars T, Kremen, William S, Jernigan, Terry L, Le Hellard, Stephanie, Steen, Vidar M, Espeseth, Thomas, Huentelman, Matt, Håberg, Asta K, Agartz, Ingrid, Djurovic, Srdjan, Andreassen, Ole A, Dale, Anders M, Schork, Nicholas J, and Chen, Chi-Hua

Subjects
Pediatric Imaging, Neurocognition and Genetics Study, Alzheimer’s Disease Neuroimaging Initiative, Cerebral Cortex, Frontal Lobe, Humans, Cadaver, Magnetic Resonance Imaging, Brain Mapping, Gene Expression Profiling, Gene Expression Regulation, Twins, Phenotype, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, Child, Child, Preschool, Female, Male, Neuroimaging, Transcriptome, Pediatric Imaging, Neurocognition and Genetics Study, and over, Preschool, Neurosciences, Genetics, 1.1 Normal biological development and functioning, 2.1 Biological and endogenous factors, Neurological, Developmental Biology
Abstract

The many subcomponents of the human cortex are known to follow an anatomical pattern and functional relationship that appears to be highly conserved between individuals. This suggests that this pattern and the relationship among cortical regions are important for cortical function and likely shaped by genetic factors, although the degree to which genetic factors contribute to this pattern is unknown. We assessed the genetic relationships among 12 cortical surface areas using brain images and genotype information on 2,364 unrelated individuals, brain images on 466 twin pairs, and transcriptome data on 6 postmortem brains in order to determine whether a consistent and biologically meaningful pattern could be identified from these very different data sets. We find that the patterns revealed by each data set are highly consistent (p

Published
2016

13. Large-scale genomics unveil polygenic architecture of human cortical surface area.

Author

Chen, Chi-Hua, Peng, Qian, Schork, Andrew J, Lo, Min-Tzu, Fan, Chun-Chieh, Wang, Yunpeng, Desikan, Rahul S, Bettella, Francesco, Hagler, Donald J, Pediatric Imaging, Neurocognition and Genetics Study, Alzheimer’s Disease Neuroimaging Initiative, Westlye, Lars T, Kremen, William S, Jernigan, Terry L, Le Hellard, Stephanie, Steen, Vidar M, Espeseth, Thomas, Huentelman, Matt, Håberg, Asta K, Agartz, Ingrid, Djurovic, Srdjan, Andreassen, Ole A, Schork, Nicholas, Dale, Anders M, Pediatric Imaging Neurocognition and Genetics Study, and Alzheimer's Disease Neuroimaging Initiative

Subjects
Pediatric Imaging, Neurocognition and Genetics Study, Alzheimer’s Disease Neuroimaging Initiative, Pediatric Imaging Neurocognition and Genetics Study, Alzheimer's Disease Neuroimaging Initiative, Cerebral Cortex, Humans, Magnetic Resonance Imaging, Genomics, Base Sequence, Conserved Sequence, Twins, Twins, Dizygotic, Twins, Monozygotic, Genotype, Phenotype, Polymorphism, Single Nucleotide, Genome, Human, Image Processing, Computer-Assisted, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, Child, Child, Preschool, Female, Male, Young Adult, Neuroimaging, Pediatric Imaging, Neurocognition and Genetics Study, Dizygotic, Monozygotic, Polymorphism, Single Nucleotide, Genome, Human, Image Processing, Computer-Assisted, and over, Preschool, Biotechnology, Neurosciences, Genetics, Human Genome, 1.1 Normal biological development and functioning
Abstract

Little is known about how genetic variation contributes to neuroanatomical variability, and whether particular genomic regions comprising genes or evolutionarily conserved elements are enriched for effects that influence brain morphology. Here, we examine brain imaging and single-nucleotide polymorphisms (SNPs) data from ∼2,700 individuals. We show that a substantial proportion of variation in cortical surface area is explained by additive effects of SNPs dispersed throughout the genome, with a larger heritable effect for visual and auditory sensory and insular cortices (h(2)∼0.45). Genome-wide SNPs collectively account for, on average, about half of twin heritability across cortical regions (N=466 twins). We find enriched genetic effects in or near genes. We also observe that SNPs in evolutionarily more conserved regions contributed significantly to the heritability of cortical surface area, particularly, for medial and temporal cortical regions. SNPs in less conserved regions contributed more to occipital and dorsolateral prefrontal cortices.

Published
2015

14. Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53949).

Author

Davies, G, Armstrong, N, Bis, JC, Bressler, J, Chouraki, V, Giddaluru, S, Hofer, E, Ibrahim-Verbaas, CA, Kirin, M, Lahti, J, van der Lee, SJ, Le Hellard, S, Liu, T, Marioni, RE, Oldmeadow, C, Postmus, I, Smith, AV, Smith, JA, Thalamuthu, A, Thomson, R, Vitart, V, Wang, J, Yu, L, Zgaga, L, Zhao, W, Boxall, R, Harris, SE, Hill, WD, Liewald, DC, Luciano, M, Adams, H, Ames, D, Amin, N, Amouyel, P, Assareh, AA, Au, R, Becker, JT, Beiser, A, Berr, C, Bertram, L, Boerwinkle, E, Buckley, BM, Campbell, H, Corley, J, De Jager, PL, Dufouil, C, Eriksson, JG, Espeseth, T, Faul, JD, Ford, I, Generation Scotland, Gottesman, RF, Griswold, ME, Gudnason, V, Harris, TB, Heiss, G, Hofman, A, Holliday, EG, Huffman, J, Kardia, SLR, Kochan, N, Knopman, DS, Kwok, JB, Lambert, J-C, Lee, T, Li, G, Li, S-C, Loitfelder, M, Lopez, OL, Lundervold, AJ, Lundqvist, A, Mather, KA, Mirza, SS, Nyberg, L, Oostra, BA, Palotie, A, Papenberg, G, Pattie, A, Petrovic, K, Polasek, O, Psaty, BM, Redmond, P, Reppermund, S, Rotter, JI, Schmidt, H, Schuur, M, Schofield, PW, Scott, RJ, Steen, VM, Stott, DJ, van Swieten, JC, Taylor, KD, Trollor, J, Trompet, S, Uitterlinden, AG, Weinstein, G, Widen, E, Windham, BG, Jukema, JW, and Wright, AF

Subjects
Generation Scotland, Humans, Genetic Predisposition to Disease, HMGN1 Protein, Cohort Studies, Cognition, Cognition Disorders, Neuropsychological Tests, Phenotype, Polymorphism, Single Nucleotide, Aged, Aged, 80 and over, Middle Aged, Scotland, Female, Male, Atherosclerosis, Genome-Wide Association Study, and over, Polymorphism, Single Nucleotide, Psychiatry, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences
Abstract

General cognitive function is substantially heritable across the human life course from adolescence to old age. We investigated the genetic contribution to variation in this important, health- and well-being-related trait in middle-aged and older adults. We conducted a meta-analysis of genome-wide association studies of 31 cohorts (N=53,949) in which the participants had undertaken multiple, diverse cognitive tests. A general cognitive function phenotype was tested for, and created in each cohort by principal component analysis. We report 13 genome-wide significant single-nucleotide polymorphism (SNP) associations in three genomic regions, 6q16.1, 14q12 and 19q13.32 (best SNP and closest gene, respectively: rs10457441, P=3.93 × 10(-9), MIR2113; rs17522122, P=2.55 × 10(-8), AKAP6; rs10119, P=5.67 × 10(-9), APOE/TOMM40). We report one gene-based significant association with the HMGN1 gene located on chromosome 21 (P=1 × 10(-6)). These genes have previously been associated with neuropsychiatric phenotypes. Meta-analysis results are consistent with a polygenic model of inheritance. To estimate SNP-based heritability, the genome-wide complex trait analysis procedure was applied to two large cohorts, the Atherosclerosis Risk in Communities Study (N=6617) and the Health and Retirement Study (N=5976). The proportion of phenotypic variation accounted for by all genotyped common SNPs was 29% (s.e.=5%) and 28% (s.e.=7%), respectively. Using polygenic prediction analysis, ~1.2% of the variance in general cognitive function was predicted in the Generation Scotland cohort (N=5487; P=1.5 × 10(-17)). In hypothesis-driven tests, there was significant association between general cognitive function and four genes previously associated with Alzheimer's disease: TOMM40, APOE, ABCG1 and MEF2C.

Published
2015

15. Critical ages in the life course of the adult brain: nonlinear subcortical aging

Author

Fjell, Anders M, Westlye, Lars T, Grydeland, Håkon, Amlien, Inge, Espeseth, Thomas, Reinvang, Ivar, Raz, Naftali, Holland, Dominic, Dale, Anders M, Walhovd, Kristine B, and Initiative, Alzheimer Disease Neuroimaging

Subjects
Biological Psychology, Psychology, Aging, Neurosciences, Adolescent, Adult, Aged, Aged, 80 and over, Brain, Cross-Sectional Studies, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Nonlinear Dynamics, Organ Size, Young Adult, Magnetic resonance imaging, Longitudinal, Trajectory, Atrophy, Amygdala, Cerebral cortex, Hippocampus, Thalamus, White matter, Alzheimer Disease Neuroimaging Initiative, Clinical Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Age-related changes in brain structure result from a complex interplay among various neurobiological processes, which may contribute to more complex trajectories than what can be described by simple linear or quadratic models. We used a nonparametric smoothing spline approach to delineate cross-sectionally estimated age trajectories of the volume of 17 neuroanatomic structures in 1100 healthy adults (18-94 years). Accelerated estimated decline in advanced age characterized some structures, for example hippocampus, but was not the norm. For most areas, 1 or 2 critical ages were identified, characterized by changes in the estimated rate of change. One-year follow-up data from 142 healthy older adults (60-91 years) confirmed the existence of estimated change from the cross-sectional analyses for all areas except 1 (caudate). The cross-sectional and the longitudinal analyses agreed well on the rank order of age effects on specific brain structures (Spearman ρ = 0.91). The main conclusions are that most brain structures do not follow a simple path throughout adult life and that accelerated decline in high age is not the norm of healthy brain aging.

Published
2013

16. A genetic deconstruction of neurocognitive traits in schizophrenia and bipolar disorder.

Author

Fernandes, Carla PD, Christoforou, Andrea, Giddaluru, Sudheer, Ersland, Kari M, Djurovic, Srdjan, Mattheisen, Manuel, Lundervold, Astri J, Reinvang, Ivar, Nöthen, Markus M, Rietschel, Marcella, Ophoff, Roel A, Genetic Risk and Outcome of Psychosis (GROUP), Hofman, Albert, Uitterlinden, André G, Werge, Thomas, Cichon, Sven, Espeseth, Thomas, Andreassen, Ole A, Steen, Vidar M, and Le Hellard, Stephanie

Subjects
Genetic Risk and Outcome of Psychosis, Humans, Bipolar Disorder, Schizophrenia, Neuropsychological Tests, Schizophrenic Psychology, Adolescent, Adult, Aged, Middle Aged, Female, Male, Genome-Wide Association Study, Young Adult, General Science & Technology
Abstract

BackgroundImpairments in cognitive functions are common in patients suffering from psychiatric disorders, such as schizophrenia and bipolar disorder. Cognitive traits have been proposed as useful for understanding the biological and genetic mechanisms implicated in cognitive function in healthy individuals and in the dysfunction observed in psychiatric disorders.MethodsSets of genes associated with a range of cognitive functions often impaired in schizophrenia and bipolar disorder were generated from a genome-wide association study (GWAS) on a sample comprising 670 healthy Norwegian adults who were phenotyped for a broad battery of cognitive tests. These gene sets were then tested for enrichment of association in GWASs of schizophrenia and bipolar disorder. The GWAS data was derived from three independent single-centre schizophrenia samples, three independent single-centre bipolar disorder samples, and the multi-centre schizophrenia and bipolar disorder samples from the Psychiatric Genomics Consortium.ResultsThe strongest enrichments were observed for visuospatial attention and verbal abilities sets in bipolar disorder. Delayed verbal memory was also enriched in one sample of bipolar disorder. For schizophrenia, the strongest evidence of enrichment was observed for the sets of genes associated with performance in a colour-word interference test and for sets associated with memory learning slope.ConclusionsOur results are consistent with the increasing evidence that cognitive functions share genetic factors with schizophrenia and bipolar disorder. Our data provides evidence that genetic studies using polygenic and pleiotropic models can be used to link specific cognitive functions with psychiatric disorders.

Published
2013

17. Cortical thickness across the lifespan

Author

Simon E. Fisher, Eveline A. Crone, Dominik Grotegerd, Jilly Naaijen, Anders M. Dale, Sean N. Hatton, Ramona Baur-Streubel, Anthony A. James, Daniel Brandeis, Andrew J. Kalnin, Andreas Reif, Hans-Jörgen Grabe, Pieter J. Hoekstra, Lars Nyberg, Fleur M. Howells, Moji Aghajani, Randy L. Buckner, Daniel A. Rinker, Steven G. Potkin, Dennis van 't Ent, Rachel M. Brouwer, Sophia Frangou, Yang Wang, Nhat Trung Doan, Theodore D. Satterthwaite, Christine Lochner, Geraldo F. Busatto, Lars T. Westlye, Lara M. Wierenga, Calhoun Vd, Henry Brodaty, Carles Soriano-Mas, Annette Conzelmann, Christian K. Tamnes, Julian N. Trollor, Nicholas G. Martin, Neeltje E.M. van Haren, René S. Kahn, Irina Lebedeva, Philip Asherson, Suzanne C. Swagerman, John A. Joska, Theophilus N. Akudjedu, Kang Sim, Lachlan T. Strike, Patricia Gruner, Brenna C. McDonald, Thomas Frodl, Edith Pomarol-Clotet, Víctor Ortiz-García de la Foz, Margaret J. Wright, Norbert Hosten, Jean-Paul Fouche, Bernd Weber, Salvador Sarró, Wei Wen, Dag Alnæs, Greig I. de Zubicaray, Iris E. C. Sommer, Marise W. J. Machielsen, Knut Schnell, Dara M. Cannon, Paola Fuentes-Claramonte, Josiane Bourque, Andreas Meyer-Lindenberg, Anton Albajes-Eizagirre, Sarah Hohmann, Erin W. Dickie, Theo G.M. van Erp, Micael Andersson, Paul Pauli, Thomas Espeseth, Heather C. Whalley, Victoria Chubar, Ruben C. Gur, Tomohiro Nakao, Xavier Caseras, Alessandro Bertolino, Ignacio Martínez-Zalacaín, Katharina Wittfeld, Erick J. Canales-Rodríguez, David C. Glahn, Neda Jahanshad, Jiyang Jiang, Katie L. McMahon, Stefan Borgwardt, Erlend S. Dørum, Jaap Oosterlaan, Won Hee Lee, Alan Breier, Steven Williams, Aristotle N. Voineskos, Bernard Mazoyer, Jordan W. Smoller, Nancy C. Andreasen, Ilya M. Veer, Tiffany M. Chaim-Avancini, Sophie Maingault, Paul M. Thompson, Eco J. C. de Geus, Luisa Lázaro, Giulio Pergola, Efstathios Papachristou, Beng-Choon Ho, David Mataix-Cols, Esther Walton, Ben J. Harrison, Dirk J. Heslenfeld, Pablo Najt, Helena Fatouros-Bergman, Derrek P. Hibar, Gunter Schumann, Raymond Salvador, Lieuwe de Haan, Henry Völzke, Joaquim Radua, Henk Temmingh, Lianne Schmaal, Martine Hoogman, Daniel H. Wolf, Georg C. Ziegler, Marieke Klein, Barbara Franke, Erik G. Jönsson, Laura Koenders, Stefan Ehrlich, Oliver Gruber, Ingrid Agartz, Kun Yang, Ryota Kanai, Sarah Baumeister, Colm McDonald, Annabella Di Giorgio, Amanda Worker, Anne Uhlmann, Marcus V. Zanetti, Danai Dima, Matthew D. Sacchet, Sarah E. Medland, Aurora Bonvino, Benedicto Crespo-Facorro, Jan Egil Nordvik, Joshua L. Roffman, Yannis Paloyelis, Jessica A. Turner, T. P. Klyushnik, Christopher G. Davey, Rachel E. Gur, Ian B. Hickie, Christopher R.K. Ching, Jonna Kuntsi, Tobias Banaschewski, Chaim Huyser, Amirhossein Modabbernia, John D. West, Fabrice Crivello, Núria Bargalló, Patricia J. Conrod, Nic J.A. van der Wee, Mauricio H. Serpa, Thomas H. Wassink, Kathryn I. Alpert, Dick J. Veltman, Andrew J. Saykin, Genevieve McPhilemy, Perminder S. Sachdev, Vincent P. Clark, Ian H. Gotlib, Susanne Erk, Henrik Walter, Dennis van den Meer, Simon Cervenka, Oliver Grimm, Andrew M. McIntosh, Alexander Tomyshev, Francisco X. Castellanos, Bernd Kramer, Klaus-Peter Lesch, Odile A. van den Heuvel, Sophia I. Thomopoulos, Diana Tordesillas-Gutiérrez, Terry L. Jernigan, Yulyia Yoncheva, Anouk den Braber, Jim Lagopoulos, Maria J. Portella, Ole A. Andreassen, Gaelle E. Doucet, Avram J. Holmes, Nynke A. Groenewold, Pedro G.P. Rosa, Hilleke E. Hulshoff Pol, Sanne Koops, José M. Menchón, Jan K. Buitelaar, Dan J. Stein, Dorret I. Boomsma, Lei Wang, C.A. Hartman, Pascual Sánchez-Juan, Andreas Heinz, European Commission, National Institute of Child Health and Human Development (US), QIMR Berghofer Medical Research Institute (Australia), University of Queensland, National Cancer Institute (US), Dutch Research Council, Netherlands Organisation for Health Research and Development, National Institute of Mental Health (US), European Research Council, National Center for Advancing Translational Sciences (US), Medical Research Council (UK), Fundación Marques de Valdecilla, Instituto de Salud Carlos III, Swedish Research Council, South-Eastern Norway Regional Health Authority, Research Council of Norway, Icahn School of Medicine at Mount Sinai, South London and Maudsley NHS Foundation Trust, NHS Foundation Trust, National Institute for Health Research (UK), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Movement Disorder (MD), Developmental Neuroscience in Society, Child and Adolescent Psychiatry / Psychology, Adult Psychiatry, APH - Mental Health, ANS - Complex Trait Genetics, ANS - Mood, Anxiety, Psychosis, Stress & Sleep, Child Psychiatry, ANS - Cellular & Molecular Mechanisms, General Paediatrics, ARD - Amsterdam Reproduction and Development, Karolinska Schizophrenia Project (KaSP), Ontwikkelingspsychologie (Psychologie, FMG), Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Epidemiology and Data Science, Neurology, Amsterdam Neuroscience - Neurodegeneration, Pediatric surgery, Anatomy and neurosciences, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Neuroscience - Brain Imaging, RS: MHeNs - R2 - Mental Health, Psychiatrie & Neuropsychologie, Biological Psychology, APH - Methodology, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Educational and Family Studies, Cognitive Psychology, IBBA, Clinical Neuropsychology, Faculty of Behavioural and Movement Sciences, and APH - Personalized Medicine

Subjects
Male, Aging, Neurologi, Audiology, Trajectories, 0302 clinical medicine, 130 000 Cognitive Neurology & Memory, diagnostic imaging [Cerebral Cortex], Child, Research Articles, Cerebral Cortex, Psychiatry, Aged, 80 and over, Radiological and Ultrasound Technology, Fractional polynomial, 05 social sciences, Radiology, Nuclear Medicine & Medical Imaging, 1. No poverty, Cognition, Middle Aged, Cerebral cortex, Regression, 3. Good health, Escorça cerebral, Neurology, Radiology Nuclear Medicine and imaging, Healthy individuals, Child, Preschool, anatomy & histology [Cerebral Cortex], Female, Analysis of variance, Anatomy, Life Sciences & Biomedicine, Trajectorie, Research Article, Neuroinformatics, Adult, medicine.medical_specialty, Adolescent, Human Development, Clinical Neurology, BF, Neuroimaging, Biology, Development, 050105 experimental psychology, Psykiatri, Cortical thickness, 03 medical and health sciences, Young Adult, Neuroimaging genetics, Envelliment, medicine, Humans, trajectories, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, ddc:610, development, Aged, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Science & Technology, Brain morphometry, aging, Neurosciences, cortical thickness, Cross-Sectional Studies, RC0321, Neurology (clinical), Neurosciences & Neurology, 030217 neurology & neurosurgery, physiology [Human Development]
Abstract

Special Issue: The ENIGMA Consortium: the first 10 years., Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 individuals aged 3–90 years from the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta-analysis and one-way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes., European Community's Seventh Framework Programme, Grant/Award Numbers: 278948, 602450, 603016, 602805; US National Institute of Child Health and Human Development, Grant/Award Numbers: RO1HD050735, 1009064, 496682; QIMR Berghofer Medical Research Institute and the Centre for Advanced Imaging, University of Queensland; ICTSI NIH/NCRR, Grant/Award Number: RR025761; European Community's Horizon 2020 Programme, Grant/Award Numbers: 667302, 643051; Vici Innovation Program, Grant/Award Numbers: #91619115, 016-130-669; NWO Brain & Cognition Excellence Program, Grant/Award Number: 433-09-229; Biobanking and Biomolecular Resources Research Infrastructure (Netherlands) (BBMRI-NL); Spinozapremie, Grant/Award Number: NWO-56-464-14192; Biobanking and Biomolecular Resources Research Infrastructure, Grant/Award Numbers: 184.033.111, 184.021.007; Netherlands Organization for Health Research and Development (ZonMW), Grant/Award Numbers: 480-15-001/674, 024.001.003, 911-09-032, 056-32-010, 481-08-011, 016-115-035, 31160008, 400-07-080, 400-05-717, 451-04-034, 463-06-001, 480-04-004, 904-61-193, 912-10-020, 985-10-002, 904-61-090; NIMH, Grant/Award Number: R01 MH090553; Geestkracht programme of the Dutch Health Research Council, Grant/Award Number: 10-000-1001; FP7 Ideas: European Research Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Grant/Award Numbers: NWO/SPI 56-464-14192, NWO-MagW 480-04-004, 433-09-220, NWO 51.02.062, NWO 51.02.061; National Center for Advancing Translational Sciences, National Institutes of Health, Grant/Award Number: UL1 TR000153; National Center for Research Resources; National Center for Research Resources at the National Institutes of Health, Grant/Award Numbers: NIH 1U24 RR025736-01, NIH 1U24 RR021992; NIH Institutes contributing to the Big Data to Knowledge; U.S. National Institutes of Health, Grant/Award Numbers: R01 CA101318, P30 AG10133, R01 AG19771; Medical Research Council, Grant/Award Numbers: U54EB020403, G0500092; National Institute of Mental Health, Grant/Award Numbers: R01MH117014, R01MH042191; Fundación Instituto de Investigación Marqués de Valdecilla, Grant/Award Numbers: API07/011, NCT02534363, NCT0235832; Instituto de Salud Carlos III, Grant/Award Numbers: PI14/00918, PI14/00639, PI060507, PI050427, PI020499; Swedish Research Council, Grant/Award Numbers: 523-2014-3467, 2017-00949, 521-2014-3487; South-Eastern Norway Health Authority; the Research Council of Norway, Grant/Award Number: 223273; South Eastern Norway Regional Health Authority, Grant/Award Numbers: 2017-112, 2019107; Icahn School of Medicine at Mount Sinai; Seventh Framework Programme (FP7/2007-2013), Grant/Award Number: 602450; National Institutes of Health, Grant/Award Numbers: R01 MH116147, R01 MH113619, R01 MH104284; South London and Maudsley NHS Foundation Trust; the National Institute for Health Research (NIHR)

Published
2022

18. Brain scans from 21,297 individuals reveal the genetic architecture of hippocampal subfield volumes

Author

Simon E. Fisher, Srdjan Djurovic, Arvid Lundervold, Siren Tønnesen, Stephanie Le Hellard, Erlend S. Dørum, Dag Alnæs, Marcel P. Zwiers, Dominique J.-F. de Quervain, Linn B. Norbom, Stephen V. Faraone, Francesco Bettella, Jennifer Monereo Sanchez, Pieter J. Hoekstra, Barbara Franke, Kristine Moe Ulrichsen, Marjolein M.J. van Donkelaar, Marco Papalino, Thomas Espeseth, Martina J. Lund, Catharina A. Hartman, Geneviève Richard, Ole A. Andreassen, Janita Bralten, Torgeir Moberget, Astri J. Lundervold, Vidar M. Steen, Alessandro Bertolino, Olav B. Smeland, Lars Nyberg, Oleksandr Frei, Asta Håberg, Aldo Córdova-Palomera, Lars T. Westlye, Christine L. Brandt, Guillén Fernández, Jan K. Buitelaar, Elena Shumskaya, Ingrid Agartz, Nhat Trung Doan, Jan Egil Nordvik, Anne-Marthe Sanders, Andreas Papassotiropoulos, Pierluigi Selvaggi, Tobias Kaufmann, Giulio Pergola, Beathe Haatveit, Ida E Sønderby, Erik G. Jönsson, Jaroslav Rokicki, Dennis van der Meer, Ingrid Melle, Jaap Oosterlaan, K. K. Kolskaar, Pediatric surgery, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), General Paediatrics, ARD - Amsterdam Reproduction and Development, Clinical Neuropsychology, IBBA, and APH - Mental Health

Subjects
0301 basic medicine, Male, genetic structures, Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13], SEGMENTATION, Hippocampus, Hippocampal formation, Spatial memory, KIDNEY-FUNCTION, 0302 clinical medicine, Child, Aged, 80 and over, Pediatric imaging, 220 Statistical Imaging Neuroscience, COMMON VARIANTS, Middle Aged, Hippocampal subfields, ALZHEIMERS-DISEASE, Psychiatry and Mental health, Child, Preschool, Memory consolidation, Female, Medical Genetics, MRI, Neuroinformatics, Adult, SUSCEPTIBILITY LOCI, Adolescent, Neuroimaging, Biology, Polymorphism, Single Nucleotide, 150 000 MR Techniques in Brain Function, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, Young Adult, Alzheimer Disease, Humans, Molecular Biology, METAANALYSIS, Medicinsk genetik, Aged, DORSAL, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], grey matter volume, Genetic architecture, 030104 developmental biology, nervous system, genome-wide association, Schizophrenia, Neuroscience, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

The hippocampus is a heterogeneous structure, comprising histologically distinguishable subfields. These subfields are differentially involved in memory consolidation, spatial navigation and pattern separation, complex functions often impaired in individuals with brain disorders characterized by reduced hippocampal volume, including Alzheimer’s disease (AD) and schizophrenia. Given the structural and functional heterogeneity of the hippocampal formation, we sought to characterize the subfields’ genetic architecture. T1-weighted brain scans (n = 21,297, 16 cohorts) were processed with the hippocampal subfields algorithm in FreeSurfer v6.0. We ran a genome-wide association analysis on each subfield, co-varying for whole hippocampal volume. We further calculated the single-nucleotide polymorphism (SNP)-based heritability of 12 subfields, as well as their genetic correlation with each other, with other structural brain features and with AD and schizophrenia. All outcome measures were corrected for age, sex and intracranial volume. We found 15 unique genome-wide significant loci across six subfields, of which eight had not been previously linked to the hippocampus. Top SNPs were mapped to genes associated with neuronal differentiation, locomotor behaviour, schizophrenia and AD. The volumes of all the subfields were estimated to be heritable (h2 from 0.14 to 0.27, all p –16) and clustered together based on their genetic correlations compared with other structural brain features. There was also evidence of genetic overlap of subicular subfield volumes with schizophrenia. We conclude that hippocampal subfields have partly distinct genetic determinants associated with specific biological processes and traits. Taking into account this specificity may increase our understanding of hippocampal neurobiology and associated pathologies.

Published
2020

19. Association of Copy Number Variation of the 15q11.2 BP1-BP2 Region With Cortical and Subcortical Morphology and Cognition

Author

Bruce Pike, Masaki Fukunaga, Erik G. Jönsson, Robin M. Murray, Abdel Abdellaoui, Christopher R.K. Ching, Simon E. Fisher, Henry Brodaty, James Rucker, Gary Donohoe, Robin Bülow, Greig I. de Zubicaray, Stefan Johansson, Katrin Amunts, Katharina Wittfeld, Arvid Lundervold, Vincent Frouin, Ida E Sønderby, Tetyana Zayats, Carlos Prieto, Vince D. Calhoun, Anders M. Dale, Hilleke E. Hulshoff Pol, Tomáš Paus, Lars Nyberg, David C. Glahn, Benedicto Crespo-Facorro, Nicholas B. Blackburn, Gunter Schumann, Thomas Espeseth, Lars T. Westlye, Loes M. Olde Loohuis, Dan J. Stein, Dorret I. Boomsma, Dennis van der Meer, Stefan Ehrlich, Stephanie Le Hellard, Elena Shumskaya, Tiago Reis Marques, Manon Bernard, Nicholas G. Martin, Jan Haavik, Rachel M. Brouwer, Simone Ciufolini, Marta Di Forti, Shareefa Dalvie, Perminder S. Sachdev, Oleksandr Frei, Emma Knowles, Samuel R. Mathias, Else Eising, Ingrid Agartz, Clara Moreau, Nicola J. Armstrong, Dennis van 't Ent, Norman Delanty, Christian K. Tamnes, Evangelos Vassos, Marianne Bernadette van den Bree, Christiane Jockwitz, Magnus O. Ulfarsson, Katie L. McMahon, Allan F. McRae, Thomas W. Mühleisen, Peter R. Schofield, Sarah E. Medland, Hreinn Stefansson, David Edmund Johannes Linden, Céline S. Reinbold, Sanjay M. Sisodiya, Wei Wen, Paul M. Thompson, Jouke-Jan Hottenga, Paola Dazzan, Kari Stefansson, Alexander Teumer, Eco J. C. de Geus, Per Hoffmann, Neda Jahanshad, Jingyu Liu, Joanne E. Curran, Juan M. Peralta, Laurena Holleran, Ana I. Silva, Asta Håberg, Thomas Gareau, Karen A. Mather, Srdjan Djurovic, Lachlan T. Strike, Anbupalam Thalamuthu, Hans J. Grabe, Ryota Hashimoto, Tormod Fladby, Manon H.J. Hillegers, Tobias Kaufmann, Masataka Kikuchi, Jan Egil Nordvik, Zdenka Pausova, Omar Gustafsson, Gianpiero L. Cavalleri, Margaret J. Wright, Nynke A. Groenewold, Wiepke Cahn, Astri J. Lundervold, Michael John Owen, Diana Tordesillas-Gutiérrez, Sven Cichon, Sonja M C de Zwarte, Torgeir Moberget, Vidar M. Steen, John Blangero, Derek W. Morris, Roel A. Ophoff, Derrek P. Hibar, Andrew J. Schork, Anouk den Braber, Jayne Y. Hehir-Kwa, G. Bragi Walters, Micael Andersson, Sigrid Botne Sando, Joanne L. Doherty, Aiden Corvin, Sébastien Jacquemont, Erin Burke Quinlan, John B.J. Kwok, Anne Uhlmann, David Ames, Jean Shin, Svenja Caspers, Sylvane Desrivières, Ole A. Andreassen, Masashi Ikeda, Amsterdam Neuroscience - Neurodegeneration, Neurology, Biological Psychology, Stochastics, APH - Mental Health, APH - Methodology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, National Institutes of Health (US), European Commission, Research Council of Norway, University of Oslo, RS: MHeNs - R2 - Mental Health, Psychiatrie & Neuropsychologie, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, School for Mental Health & Neuroscience, and RS: MHeNs - R3 - Neuroscience

Subjects
Netherlands Twin Register (NTR), Male, Oncology, Translation, Duplication, Genome-wide association study, physiology [DNA Copy Number Variations], Neuropsychological Tests, Language in Interaction, Chromosome Breakpoints, Cognition, genetics [Chromosomes, Human, Pair 15], diagnostic imaging [Cerebral Cortex], Copy-number variation, Original Investigation, Cerebral Cortex, education.field_of_study, Connectivity, Organ Size, Middle Aged, Magnetic Resonance Imaging, Psychiatry and Mental health, DROSOPHILA, anatomy & histology [Cerebral Cortex], Brain size, Female, Neuroinformatics, Heterozygote, medicine.medical_specialty, CORTEX, GENES, MICRODUPLICATION, DNA Copy Number Variations, genetics [DNA Copy Number Variations], Population, Neuroimaging, SURFACE-AREA, Biology, Structural variation, physiology [Cerebral Cortex], Internal medicine, Neuroplasticity, THICKNESS, medicine, Humans, ddc:610, education, Genetic Association Studies, Genetic association, Chromosomes, Human, Pair 15, genetics [Organ Size], Brain morphometry, Brain Cortical Thickness, Microdeletion
Abstract

ENIGMA-CNV Working Group: van der Meer, Dennis; Sonderby, Ida E; Kaufmann, Tobias; Walters, G Bragi; Abdellaoui, Abdel; Ames, David; Amunts, Katrin; Andersson, Micael; Armstrong, Nicola J; Bernard, Manon; Blackburn, Nicholas B; Blangero, John; Boomsma, Dorret I; Brodaty, Henry; Brouwer, Rachel M; Bulow, Robin; Cahn, Wiepke; Calhoun, Vince D; Caspers, Svenja; Cavalleri, Gianpiero L; Ching, Christopher R K; Cichon, Sven; Ciufolini, Simone; Corvin, Aiden; Crespo-Facorro, Benedicto; Curran, Joanne E; Dalvie, Shareefa; Dazzan, Paola; de Geus, Eco J C; de Zubicaray, Greig I; de Zwarte, Sonja M C; Delanty, Norman; den Braber, Anouk; Desrivieres, Sylvane; Di Forti, Marta; Doherty, Joanne L; Donohoe, Gary; Ehrlich, Stefan; Eising, Else; Espeseth, Thomas; Fisher, Simon E; Fladby, Tormod; Frei, Oleksandr; Frouin, Vincent; Fukunaga, Masaki; Gareau, Thomas; Glahn, David C; Grabe, Hans J; Groenewold, Nynke A; Gustafsson, Omar; Haavik, Jan; Haberg, Asta K; Hashimoto, Ryota; Hehir-Kwa, Jayne Y; Hibar, Derrek P; Hillegers, Manon H J; Hoffmann, Per; Holleran, Laurena; Hottenga, Jouke-Jan; Hulshoff Pol, Hilleke E; Ikeda, Masashi; Jacquemont, Sebastien; Jahanshad, Neda; Jockwitz, Christiane; Johansson, Stefan; Jonsson, Erik G; Kikuchi, Masataka; Knowles, Emma E M; Kwok, John B; Le Hellard, Stephanie; Linden, David E J; Liu, Jingyu; Lundervold, Arvid; Lundervold, Astri J; Martin, Nicholas G; Mather, Karen A; Mathias, Samuel R; McMahon, Katie L; McRae, Allan F; Medland, Sarah E; Moberget, Torgeir; Moreau, Clara; Morris, Derek W; Muhleisen, Thomas W; Murray, Robin M; Nordvik, Jan E; Nyberg, Lars; Olde Loohuis, Loes M; Ophoff, Roel A; Owen, Michael J; Paus, Tomas; Pausova, Zdenka; Peralta, Juan M; Pike, Bruce; Prieto, Carlos; Quinlan, Erin Burke; Reinbold, Celine S; Reis Marques, Tiago; Rucker, James J H; Sachdev, Perminder S; Sando, Sigrid B; Schofield, Peter R; Schork, Andrew J; Schumann, Gunter; Shin, Jean; Shumskaya, Elena; Silva, Ana I; Sisodiya, Sanjay M; Steen, Vidar M; Stein, Dan J; Strike, Lachlan T; Tamnes, Christian K; Teumer, Alexander; Thalamuthu, Anbupalam; Tordesillas-Gutierrez, Diana; Uhlmann, Anne; Ulfarsson, Magnus O; van 't Ent, Dennis; van den Bree, Marianne B M; Vassos, Evangelos; Wen, Wei; Wittfeld, Katharina; Wright, Margaret J; Zayats, Tetyana; Dale, Anders M; Djurovic, Srdjan; Agartz, Ingrid; Westlye, Lars T; Stefansson, Hreinn; Stefansson, Kari; Thompson, Paul M; Andreassen, Ole A., [Importance] Recurrent microdeletions and duplications in the genomic region 15q11.2 between breakpoints 1 (BP1) and 2 (BP2) are associated with neurodevelopmental disorders. These structural variants are present in 0.5% to 1.0% of the population, making 15q11.2 BP1-BP2 the site of the most prevalent known pathogenic copy number variation (CNV). It is unknown to what extent this CNV influences brain structure and affects cognitive abilities., [Objective] To determine the association of the 15q11.2 BP1-BP2 deletion and duplication CNVs with cortical and subcortical brain morphology and cognitive task performance., [Design, Setting, and Participants] In this genetic association study, T1-weighted brain magnetic resonance imaging were combined with genetic data from the ENIGMA-CNV consortium and the UK Biobank, with a replication cohort from Iceland. In total, 203 deletion carriers, 45 247 noncarriers, and 306 duplication carriers were included. Data were collected from August 2015 to April 2019, and data were analyzed from September 2018 to September 2019., [Main Outcomes and Measures] The associations of the CNV with global and regional measures of surface area and cortical thickness as well as subcortical volumes were investigated, correcting for age, age2, sex, scanner, and intracranial volume. Additionally, measures of cognitive ability were analyzed in the full UK Biobank cohort., [Results] Of 45 756 included individuals, the mean (SD) age was 55.8 (18.3) years, and 23 754 (51.9%) were female. Compared with noncarriers, deletion carriers had a lower surface area (Cohen d = −0.41; SE, 0.08; P = 4.9 × 10−8), thicker cortex (Cohen d = 0.36; SE, 0.07; P = 1.3 × 10−7), and a smaller nucleus accumbens (Cohen d = −0.27; SE, 0.07; P = 7.3 × 10−5). There was also a significant negative dose response on cortical thickness (β = −0.24; SE, 0.05; P = 6.8 × 10−7). Regional cortical analyses showed a localization of the effects to the frontal, cingulate, and parietal lobes. Further, cognitive ability was lower for deletion carriers compared with noncarriers on 5 of 7 tasks., [Conclusions and Relevance] These findings, from the largest CNV neuroimaging study to date, provide evidence that 15q11.2 BP1-BP2 structural variation is associated with brain morphology and cognition, with deletion carriers being particularly affected. The pattern of results fits with known molecular functions of genes in the 15q11.2 BP1-BP2 region and suggests involvement of these genes in neuronal plasticity. These neurobiological effects likely contribute to the association of this CNV with neurodevelopmental disorders., This study is supported in part by grants U54 EB20403, R01MH116147, and R56AG058854 from the National Institutes of Health, grant 609020 from the European Union Seventh Framework Programme, and grants 223273 and 276082 from the Research Council Norway. Part of this work was performed using the Service for Sensitive Data (TSD), which is developed and operated by the TSD Service Groupand owned by the University of Oslo.

Published
2020

20. Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia

Author

Alexandre Reymond, Borja Rodriguez-Herreros, Stefan Ehrlich, Tiago Reis Marques, Roberto Roiz-Santiañez, Barbara Franke, Henry Brodaty, Ryota Hashimoto, Tobias Kaufmann, Thomas Gareau, Gary Donohoe, Masataka Kikuchi, David Ames, Greig I. de Zubicaray, Vince D. Calhoun, Zdenka Pausova, Anouk den Braber, Laurena Holleran, Katharina Wittfeld, Roel A. Ophoff, G. Bragi Walters, Sandra Martin-Brevet, Karen A. Mather, Dan J. Stein, Costin Leu, Rachel M. Brouwer, Norman Delanty, Nicholas G. Martin, Arvid Lundervold, Jean Shin, Geneviève Richard, Dorret I. Boomsma, Gudrun A. Jonsdottir, Emma Knowles, Margie Wright, Magnus O. Ulfarsson, Yunpeng Wang, Thomas W. Mühleisen, Vincent Frouin, Andrew J. Schork, Peter R. Schofield, Michael Andersson, Katrin Amunts, Hans J. Grabe, Wei Wen, Manon Bernard, James Rucker, Anbu Thalamuthu, Hans-Richard Brattbak, Joanne E. Curran, Hidenaga Yamamori, Bruce Pike, Brenda W.J.H. Penninx, Derek W. Morris, Masaki Fukunaga, Aiden Corvin, René S. Kahn, John Blangero, Yuri Milaneschi, Nynke A. Groenewold, Mark McCormack, Allan F. McRae, Clara Moreau, Gunter Schumann, Robin M. Murray, Bogdan Draganski, Simone Ciufolini, Carlos Prieto, Diana Tordesillas-Gutiérrez, Astri J. Lundervold, Sinead Kelly, Simon E. Fisher, Erik G. Jönsson, Stefan Johansson, Neda Jahanshad, Elena Shumskaya, Christopher D. Whelan, Tomáš Paus, Evangelos Vassos, Tetyana Zayats, Sébastien Jacquemont, Benedicto Crespo-Facorro, Erin Burke Quinlan, Anja Vaskinn, Ingrid Agartz, Knut K. Kolskår, Robin Bülow, Alexander Teumer, Sven Cichon, Neeltje E.M. van Haren, Jayne Y. Hehir-Kwa, Anders M. Dale, Nhat Trung Doan, Stephanie Le Hellard, John B.J. Kwok, Lars Nyberg, Sigrid Botne Sando, Omar Gustafsson, Gianpiero L. Cavalleri, Andreas Heinz, Ida E Sønderby, Sonja M C de Zwarte, Hreinn Stefansson, Derrek P. Hibar, Daniel Quintana, Vidar M. Steen, Jouke-Jan Hottenga, Paola Dazzan, David C. Glahn, Shareefa Dalvie, Lars T. Westlye, Nicholas B. Blackburn, Loes M. Olde Loohuis, Kari Stefansson, Dennis van der Meer, Lianne Schmaal, Anne Uhlmann, Nicola J. Armstrong, Stacy Steinberg, Christiane Jockwitz, Jarek Rokicki, Hilleke E Hulshoff, Sanjay M. Sisodiya, Anne-Marthe Sanders, Jan Haavik, Perminder S. Sachdev, Asta Håberg, Samuel R. Mathias, Dennis van 't Ent, Torill Ueland, Per Hoffmann, Terry L. Jernigan, Abdel Abdellaoui, Svenja Caspers, Sylvane Desrivières, Ole A. Andreassen, Masashi Ikeda, Paul M. Thompson, Eco J. C. de Geus, Céline S. Reinbold, Jingyu Liu, Juan M. Peralta, Sara Pudas, Jan Egil Nordvik, Srdjan Djurovic, David Mothersill, Lachlan T. Strike, Chi-Hua Chen, Jessica A. Turner, Manon H.J. Hillegers, Thomas Espeseth, Janita Bralten, Katie L. McMahon, APH - Methodology, APH - Mental Health, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Rafmagns- og tölvuverkfræðideild (HÍ), Faculty of Electrical and Computer Engineering (UI), Læknadeild (HÍ), Faculty of Medicine (UI), Verkfræði- og náttúruvísindasvið (HÍ), School of Engineering and Natural Sciences (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, 16p11.2 European Consortium, for the ENIGMA-CNV working group, Child and Adolescent Psychiatry / Psychology, Epidemiology and Data Science, Neurology, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, and APH - Digital Health

Subjects
Male, 0301 basic medicine, Netherlands Twin Register (NTR), genetics [Chromosome Disorders], Pathology, Databases, Factual, Autism, Taugasjúkdómar, methods [Magnetic Resonance Imaging], 0302 clinical medicine, pathology [Basal Ganglia], pathology [Brain], methods [Image Processing, Computer-Assisted], Chromosome Duplication, Basal ganglia, pathology [Globus Pallidus], genetics [Schizophrenia], Copy-number variation, pathology [Putamen], medicine.diagnostic_test, Einhverfa, Gen, genetics [Neurodevelopmental Disorders], Putamen, Neurodevelopmental disorders, Middle Aged, Microdeletion syndrome, 3. Good health, Psychiatry and Mental health, genetics [Chromosomes, Human, Pair 16], Globus pallidus, Schizophrenia, genetics [Autism Spectrum Disorder], Female, Chromosome Deletion, Medical Genetics, Adult, Neuroinformatics, medicine.medical_specialty, genetics [DNA Copy Number Variations], Article, genetics [Autistic Disorder], 03 medical and health sciences, Cellular and Molecular Neuroscience, SDG 17 - Partnerships for the Goals, Geðklofi, medicine, Humans, ddc:610, Molecular Biology, Medicinsk genetik, CNVs, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], genetics [Organ Size], business.industry, Brain morphometry, Magnetic resonance imaging, medicine.disease, 030104 developmental biology, genetics [Intellectual Disability], business, Psychiatric disorders, 030217 neurology & neurosurgery, Neuroscience
Abstract

Publisher's version (útgefin grein), Carriers of large recurrent copy number variants (CNVs) have a higher risk of developing neurodevelopmental disorders. The 16p11.2 distal CNV predisposes carriers to e.g., autism spectrum disorder and schizophrenia. We compared subcortical brain volumes of 12 16p11.2 distal deletion and 12 duplication carriers to 6882 non-carriers from the large-scale brain Magnetic Resonance Imaging collaboration, ENIGMA-CNV. After stringent CNV calling procedures, and standardized FreeSurfer image analysis, we found negative dose-response associations with copy number on intracranial volume and on regional caudate, pallidum and putamen volumes (β = −0.71 to −1.37; P < 0.0005). In an independent sample, consistent results were obtained, with significant effects in the pallidum (β = −0.95, P = 0.0042). The two data sets combined showed significant negative dose-response for the accumbens, caudate, pallidum, putamen and ICV (P = 0.0032, 8.9 × 10−6, 1.7 × 10− 9, 3.5 × 10−12 and 1.0 × 10−4, respectively). Full scale IQ was lower in both deletion and duplication carriers compared to non-carriers. This is the first brain MRI study of the impact of the 16p11.2 distal CNV, and we demonstrate a specific effect on subcortical brain structures, suggesting a neuropathological pattern underlying the neurodevelopmental syndromes., 1000BRAINS: 1000BRAINS is a population-based cohort based on the Heinz-Nixdorf Recall Study and is supported in part by the German National Cohort. We thank the Heinz Nixdorf Foundation (Germany) for their generous support in terms of the Heinz Nixdorf Study. The HNR study is also supported by the German Ministry of Education and Science (FKZ 01EG940), and the German Research Council (DFG, ER 155/6-1). The authors are supported by the Initiative and Networking Fund of the Helmholtz Association (Svenja Caspers) and the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement 7202070 (Human Brain Project SGA1; Katrin Amunts, Sven Cichon). This work was further supported by the German Federal Ministry of Education and Research (BMBF) through the Integrated Network IntegraMent (Integrated Understanding of Causes and Mechanisms in Mental Disorders) under the auspices of the e:Med Program (grant 01ZX1314A to M.M.N. and S.C.), and by the Swiss National Science Foundation (SNSF, grant 156791 to S.C.). 16p.11.2 European Consortium: B.D. is supported by the Swiss National Science Foundation (NCCR Synapsy, project grant Nr 32003B_159780) and Foundation Synapsis. LREN is very grateful to the Roger De Spoelberch and Partridge Foundations for their generous financial support. This work was supported by grants from the Simons Foundation (SFARI274424) and the Swiss National Science Foundation (31003A_160203) to A.R. and S.J. Betula: The relevant Betula data collection and analyses were supported by a grant from the Knut & Alice Wallenberg (KAW) to L. Nyberg. Brainscale: the Brainscale study was supported by the Netherlands Organization for Scientific Research MagW 480-04-004 (Dorret Boomsma), 51.02.060 (Hilleke Hulshoff Pol), 668.772 (Dorret Boomsma & Hilleke Hulshoff Pol); NWO/SPI 56-464-14192 (Dorret Boomsma), the European Research Council (ERC-230374) (Dorret Boomsma), High Potential Grant Utrecht University (Hilleke Hulshoff Pol), NWO Brain and Cognition 433-09-220 (Hilleke Hulshoff Pol). Brain Imaging Genetics (BIG): This work makes use of the BIG database, first established in Nijmegen, The Netherlands, in 2007. This resource is now part of Cognomics (www.cognomics.nl), a joint initiative by researchers of the Donders Centre for Cognitive Neuroimaging, the Human Genetics and Cognitive Neuroscience departments of the Radboud university medical centre and the Max Planck Institute for Psycholinguistics in Nijmegen. The Cognomics Initiative has received supported from the participating departments and centres and from external grants, i.e., the Biobanking and Biomolecular Resources Research Infrastructure (the Netherlands) (BBMRI-NL), the Hersenstichting Nederland, and the Netherlands Organisation for Scientific Research (NWO). The research leading to these results also receives funding from the NWO Gravitation grant ‘Language in Interaction’, the European Community’s Seventh Framework Programme (FP7/2007–2013) under grant agreements n° 602450 (IMAGEMEND), n°278948 (TACTICS), and n°602805 (Aggressotype) as well as from the European Community’s Horizon 2020 programme under grant agreement n° 643051 (MiND) and from ERC-2010-AdG 268800-NEUROSCHEMA. In addition, the work was supported by a grant for the ENIGMA Consortium (grant number U54 EB020403) from the BD2K Initiative of a cross-NIH partnership. COBRE: This work was supported by a NIH COBRE Phase I grant (1P20RR021938, Lauriello, PI and 2P20GM103472, Calhoun, PI) awarded to the Mind Research Network. We wish to express our gratitude to numerous investigators who were either external consultants to the Cores and projects, mentors on the projects, members of the external advisory committee and members of the internal advisory committee. Decode: The research leading to these results has received financial contribution from the European Union’s Seventh Framework Programme (EU-FP7/2007–2013), EU-FP7 funded grant no. 602450 (IMAGEMEND) as well as support from the Innovative Medicines Initiative Joint Undertaking under grant agreement no.115300 (EUAIMS). DemGene: Norwegian Health Association and Research Council of Norway. Dublin: Work was supported by Science Foundation Ireland (SFI grant 12/IP/1359 to Gary Donohoe and SFI08/IN.1/B1916-Corvin to Aidan C Corvin) and the European Research Council (ERC-StG-2015-677467). EPIGEN-UK (SMS, CL): The work was partly undertaken at UCLH/UCL, which received a proportion of funding from the UK Department of Health’s NIHR Biomedical Research Centres funding scheme. We are grateful to the Wolfson Trust and the Epilepsy Society for supporting the Epilepsy Society MRI scanner, and the Epilepsy Society for supporting CL. Haavik: The work at the K.G.Jebsen center for neuropsychiatric disorders at the University of Bergen, Norway, was supported by Stiftelsen K.G. Jebsen, European Community’s Seventh Framework Program under grant agreement no 602805 and the H2020 Research and Innovation Program under grant agreement numbers 643051 and 667302. HUNT: The HUNT Study is a collaboration between HUNT Research Centre (Faculty of Medicine, Norwegian University of Science and Technology), Nord-Trøndelag County Council, Central Norway Health Authority, and the Norwegian Institute of Public Health. HUNT-MRI was funded by the Liaison Committee between the Central Norway Regional Health Authority and the Norwegian University of Science and Technology, and the Norwegian National Advisory Unit for functional MRI. IMAGEN: The work received support from the European Union-funded FP6Integrated Project IMAGEN (Reinforcement-related behaviour in normal brain function and psychopathology) (LSHM-CT- 2007-037286), the Horizon 2020 funded ERC Advanced Grant ‘STRATIFY’ (Brain network based stratification of reinforcement-related disorders) (695313), ERANID (Understanding the Interplay between Cultural, Biological and Subjective Factors in Drug Use Pathways) (PR-ST-0416-10004), BRIDGET (JPND: BRain Imaging, cognition Dementia and next generation GEnomics) (MR/N027558/1), the FP7 projects IMAGEMEND (602450; IMAging GEnetics for MENtal Disorders) and MATRICS (603016), the Innovative Medicine Initiative Project EU-AIMS (115300), the Medical Research Council Grant ‘c-VEDA’ (Consortium on Vulnerability to Externalizing Disorders and Addictions) (MR/N000390/1), the Swedish Research Council FORMAS, the Medical Research Council, the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, the Bundesministeriumfür Bildung und Forschung (BMBF grants 01GS08152; 01EV0711; eMED SysAlc01ZX1311A; Forschungsnetz AERIAL), the Deutsche Forschungsgemeinschaft (DFG grants SM 80/7-1, SM 80/7-2, SFB 940/1). Further support was provided by grants from: ANR (project AF12-NEUR0008-01—WM2NA, and ANR-12-SAMA-0004), the Fondation de France, the Fondation pour la Recherche Médicale, the Mission Interministérielle de Lutte-contre-les-Drogues-et-les-Conduites-Addictives (MILDECA), the Assistance-Publique-Hôpitaux-de-Paris and INSERM (interface grant), Paris Sud University IDEX 2012; the National Institutes of Health, Science Foundation Ireland (16/ERCD/3797), USA (Axon, Testosterone and Mental Health during Adolescence; RO1 MH085772-01A1), and by NIH Consortium grant U54 EB020403, supported by a cross-NIH alliance that funds Big Data to Knowledge Centres of Excellence. MCIC: This work was supported primarily by the Department of Energy DE-FG02-99ER62764 through its support of the Mind Research Network and the consortium as well as by the National Association for Research in Schizophrenia and Affective Disorders (NARSAD) Young Investigator Award (to SE) as well as through the Blowitz-Ridgeway and Essel Foundations, and through NWO ZonMw TOP 91211021, the DFG research fellowship (to SE), the Mind Research Network, National Institutes of Health through NCRR 5 month-RR001066 (MGH General Clinical Research Center), NIMH K08 MH068540, the Biomedical Informatics Research Network with NCRR Supplements to P41 RR14075 (MGH), M01 RR 01066 (MGH), NIBIB R01EB006841 (MRN), R01EB005846 (MRN), 2R01 EB000840 (MRN), 1RC1MH089257 (MRN), as well as grant U24 RR021992. NCNG: this sample collection was supported by grants from the Bergen Research Foundation and the University of Bergen, the Dr Einar Martens Fund, the K.G. Jebsen Foundation, the Research Council of Norway, to SLH, VMS and TE. The Bergen group was supported by grants from the Western Norway Regional Health Authority (Grant 911593 to AL, Grant 911397 and 911687 to AJL). NESDA: Funding for NESDA was obtained from the Netherlands Organization for Scientific Research (Geestkracht program grant 10-000-1002); the Center for Medical Systems Biology (CSMB, NWO Genomics), Biobanking and Biomolecular Resources Research Infrastructure (BBMRI-NL), VU University’s Institutes for Health and Care Research (EMGO+) and Neuroscience Campus Amsterdam, University Medical Center Groningen, Leiden University Medical Center, National Institutes of Health (NIH, R01D0042157-01A, MH081802, Grand Opportunity grants 1RC2 MH089951 and 1RC2 MH089995). Part of the genotyping and analyses were funded by the Genetic Association Information Network (GAIN) of the Foundation for the National Institutes of Health.Computing was supported by BiG Grid, the Dutch e-Science Grid, which is financially supported by NWO. NTR: The NTR study was supported by the Netherlands Organization for Scientific Research (NWO), MW904-61-193 (Eco de Geus & Dorret Boomsma), MaGW-nr: 400-07- 080 (Dennis van ‘t Ent), MagW 480-04-004 (Dorret Boomsma), NWO/SPI 56-464-14192 (Dorret Boomsma), the European Research Council, ERC-230374 (Dorret Boomsma), and Amsterdam Neuroscience. OATS: OATS (Older Australian Twins Study) was facilitated by access to Twins Research Australia, which is funded by a National Health and Medical Research Council (NHMRC) Enabling Grant 310667. OATS is also supported via a NHMRC/Australian Research Council Strategic Award (401162) and a NHMRC Project Grant (1045325). DNA extraction was performed by Genetic Repositories Australia, which was funded by a NHMRC Enabling Grant (401184). OATS genotyping was partly funded by a Commonwealth Scientific and Industrial Research Organisation Flagship Collaboration Fund Grant. PAFIP: PAFIP data were collected at the Hospital Universitario Marqués de Valdecilla, University of Cantabria, Santander, Spain, under the following grant support: Carlos III Health Institute PIE14/00031 and SAF2013-46292-R and SAF2015-71526-REDT. We wish to acknowledge IDIVAL Neuroimaging Unit for imaging acquirement and analysis.We want to particularly acknowledge the patients and the BioBankValdecilla (PT13/0010/0024) integrated in the Spanish National Biobanks Network for its collaboration. QTIM: The QTIM study was supported by grants from the US National Institute of Child Health and Human Development (R01 HD050735) and the Australian National Health and Medical Research Council (NHMRC) (486682, 1009064). Genotyping was supported by NHMRC (389875). Lachlan Strike is supported by an Australian Postgraduate Award (APA). AFM is supported by NHMRC CDF 1083656. We thank the twins and siblings for their participation, the many research assistants, as well as the radiographers, for their contribution to data collection and processing of the samples. SHIP: SHIP is part of the Community Medicine Research net of the University of Greifswald, Germany, which is funded by the Federal Ministry of Education and Research (grants no. 01ZZ9603, 01ZZ0103, 01ZZ0403 and 01ZZ0701), the Ministry of Cultural Affairs as well as the Social Ministry of the Federal State of Mecklenburg-West Pomerania, and the network ‘Greifswald Approach to Individualized Medicine (GANI_MED)’ funded by the Federal Ministry of Education and Research (grant 03IS2061A). Genome-wide data have been supported by the Federal Ministry of Education and Research (grant no. 03ZIK012) and a joint grant from Siemens Healthineers, Erlangen, Germany and the Federal State of Mecklenburg- West Pomerania. Whole-body MR imaging was supported by a joint grant from Siemens Healthineers, Erlangen, Germany and the Federal State of Mecklenburg West Pomerania. The University of Greifswald is a member of the Caché Campus program of the InterSystems GmbH. StrokeMRI: StrokeMRI has been supported by the Research Council of Norway (249795), the South-Eastern Norway Regional Health Authority (2014097, 2015044, 2015073) and the Norwegian ExtraFoundation for Health and Rehabilitation. TOP: TOP is supported by the Research Council of Norway (223273, 213837, 249711), the South East Norway Health Authority (2017-112), the Kristian Gerhard Jebsen Stiftelsen (SKGJ‐MED‐008) and the European Community’s Seventh Framework Programme (FP7/2007–2013), grant agreement no. 602450 (IMAGEMEND). We acknowledge the technical support and service from the Genomics Core Facility at the Department of Clinical Science, the University of Bergen

Published
2020

21. Distinct Neural Mechanisms Meet Challenges in Dynamic Visual Attention due to Either Load or Object Spacing

Author

Thomas Hagen, Verónica Mäki-Marttunen, Bruno Laeng, and Thomas Espeseth

Subjects
Adult, Male, genetic structures, Computer science, Cognitive Neuroscience, media_common.quotation_subject, Substantia nigra, Brain mapping, Pupil, Task (project management), Young Adult, Perception, Saccades, medicine, Visual attention, Humans, Attention, Eye-Tracking Technology, media_common, Cerebral Cortex, Brain Mapping, Ventral Tegmental Area, Brain, Cognition, Neurophysiology, Crowding, Magnetic Resonance Imaging, Object (philosophy), Substantia Nigra, Ventral tegmental area, medicine.anatomical_structure, Space Perception, Visual Perception, Locus coeruleus, Eye tracking, Female, Locus Coeruleus, Psychology, Brain Stem, Cognitive psychology
Abstract

When engaged in dynamic visuospatial tasks, the brain copes with perceptual and cognitive processing challenges. During multiple-object tracking (MOT), the number of objects to be tracked (i.e., load) imposes attentional demands, but so does spatial interference from irrelevant objects (i.e., close encounters). Presently, it is not clear whether the effect of load on accuracy solely depends on the number of close encounters. If so, the same cognitive and physiological mechanisms deal with increasing load by preparing for and dealing with spatial interference. However, this has never been directly tested. Such knowledge is important to understand the neurophysiology of dynamic visual attention and resolve conflicting views within visual cognition concerning sources of capacity limitations. We varied the processing challenge in MOT task in two ways: the number of targets and the minimum spatial proximity between targets and distractors. In a first experiment, we measured task-induced pupil dilations and saccades during MOT. In a separate cohort, we measured fMRI activity. In both cohorts, increased load and close encounters (i.e., close spatial proximity) led to reduced accuracy in an additive manner. Load was associated with pupil dilations, whereas close encounters were not. Activity in dorsal attentional areas and frequency of saccades were proportionally larger both with higher levels of load and close encounters. Close encounters recruited additionally ventral attentional areas that may reflect orienting mechanisms. The activity in two brainstem nuclei, ventral tegmental area/substantia nigra and locus coeruleus, showed clearly dissociated patterns. Our results constitute convergent evidence indicating that different mechanisms underlie processing challenges due to load and object spacing.

Published
2020

22. Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years

Author

Tiffany M. Chaim-Avancini, Suzanne C. Swagerman, Sophie Maingault, Mauricio H. Serpa, Kang Sim, Patricia Gruner, Dara M. Cannon, Esther Walton, Gunter Schumann, Christopher R.K. Ching, Simon E. Fisher, Tomohiro Nakao, Nhat Trung Doan, Sophia I. Thomopoulos, Diana Tordesillas-Gutiérrez, Ilya M. Veer, Lieuwe de Haan, Paul Pauli, Derrek P. Hibar, Kun Yang, Dan J. Stein, Dominik Grotegerd, Víctor Ortiz-García de la Foz, Daniel Brandeis, Sarah Baumeister, Xavier Caseras, Fabrice Crivello, Vincent P. Clark, Maria J. Portella, Salvador Sarró, Dorret I. Boomsma, Henry Völzke, Daniel H. Wolf, Lianne Schmaal, Yannis Paloyelis, Barbara Franke, Matthew D. Sacchet, Anne Uhlmann, Yulyia Yoncheva, Ole A. Andreassen, Erick J. Canales-Rodríguez, Ingrid Agartz, Anouk den Braber, Colm McDonald, Edith Pomarol-Clotet, Anders M. Dale, Calhoun Vd, David Mataix-Cols, Ignacio Martínez-Zalacaín, Joshua L. Roffman, Andrew J. Kalnin, Anton Albajes-Eizagirre, Andreas Reif, Won Hee Lee, Gaelle E. Doucet, Hans-Jörgen Grabe, Pieter J. Hoekstra, Avram J. Holmes, Theophilus N. Akudjedu, Ian H. Gotlib, Fleur M. Howells, Andrew J. Saykin, Genevieve McPhilemy, Moji Aghajani, David C. Glahn, Rachel M. Brouwer, Núria Bargalló, Knut Schnell, Katharina Wittfeld, Thomas Frodl, Josiane Bourque, Ryota Kanai, Raymond Salvador, Sean N. Hatton, Terry L. Jernigan, Helena Fatouros-Bergman, Oliver Grimm, Marise W. J. Machielsen, Victoria Chubar, Henk Temmingh, Andrew M. McIntosh, Georg C. Ziegler, Marieke Klein, T. P. Klyushnik, Iris E. C. Sommer, Heather C. Whalley, Rachel E. Gur, Alan Breier, Jordan W. Smoller, Kathryn I. Alpert, Dick J. Veltman, Neda Jahanshad, Sophia Frangou, Jiyang Jiang, Jessica A. Turner, Eveline A. Crone, Thomas Espeseth, Alexander Tomyshev, Christine Lochner, Anthony A. James, Aristotle N. Voineskos, Julian N. Trollor, Efstathios Papachristou, Beng-Choon Ho, Pablo Najt, Christian K. Tamnes, Geraldo F. Busatto, Stefan Borgwardt, Andreas Meyer-Lindenberg, Philip Asherson, Francisco X. Castellanos, Bernd Kramer, Jim Lagopoulos, Marcus V. Zanetti, Joaquim Radua, John A. Joska, Giulio Pergola, Nynke A. Groenewold, Erlend S. Dørum, Henrik Walter, Jan Egil Nordvik, Alessandro Bertolino, Wei Wen, Klaus-Peter Lesch, Ian B. Hickie, Pedro G.P. Rosa, Randy L. Buckner, Daniel A. Rinker, Hilleke E. Hulshoff Pol, Steven G. Potkin, Odile A. van den Heuvel, Nancy C. Andreasen, Sanne Koops, Amanda Worker, Susanne Erk, Lei Wang, Norbert Hosten, Jean-Paul Fouche, Dennis van 't Ent, Jonna Kuntsi, Dennis van den Meer, Simon Cervenka, C.A. Hartman, Nicholas G. Martin, Carles Soriano-Mas, Neeltje E.M. van Haren, Pascual Sánchez-Juan, Andreas Heinz, Brenna C. McDonald, Thomas H. Wassink, José M. Menchón, Katie L. McMahon, Jan K. Buitelaar, Sarah E. Medland, Aurora Bonvino, Patricia J. Conrod, Nic J.A. van der Wee, Paul M. Thompson, Micael Andersson, Perminder S. Sachdev, Lars Nyberg, Eco J. C. de Geus, Ramona Baur-Streubel, Lachlan T. Strike, Dag Alnæs, Paola Fuentes-Claramonte, Ben J. Harrison, Martine Hoogman, Lars T. Westlye, Annette Conzelmann, Annabella Di Giorgio, Benedicto Crespo-Facorro, Sarah Hohmann, Jilly Naaijen, Yang Wang, Henry Brodaty, Greig I. de Zubicaray, Laura Koenders, Ruben C. Gur, Stefan Ehrlich, Danai Dima, Christopher G. Davey, Tobias Banaschewski, Amirhossein Modabbernia, Dirk J. Heslenfeld, Erik G. Jönsson, Oliver Gruber, Theodore D. Satterthwaite, René S. Kahn, Margaret J. Wright, Jaap Oosterlaan, Steven Williams, Bernard Mazoyer, Lara M. Wierenga, Bernd Weber, Luisa Lázaro, Irina Lebedeva, Erin W. Dickie, Chaim Huyser, John D. West, Theo G.M. van Erp, National Institute of Mental Health (US), Karolinska Institute, Stockholm County Council, South-Eastern Norway Regional Health Authority, German Centre for Cardiovascular Research, Siemens Healthcare, University of Queensland, Eunice Kennedy Shriver National Institute of Child Health and Human Development (US), National Health and Medical Research Council (Australia), National Institute on Drug Abuse (US), Indiana State Department of Health, Parents of children with epilepsy, Epilepsy Therapy Project, Fight Against Childhood Epilepsy and Seizures, Epilepsy Foundation, American Epilepsy Society, Knut and Alice Wallenberg Foundation, European Commission, Dutch Research Council, Netherlands Organization for Scientific Research, Netherlands Brain Foundation, Utrecht University, European Research Council, National Center for Advancing Translational Sciences (US), National Institutes of Health (US), National Center for Research Resources (US), Fundación Marques de Valdecilla, Instituto de Salud Carlos III, Swedish Research Council, Kings College London, South London and Maudsley NHS Foundation Trust, NIHR Biomedical Research Centre (UK), National Institute for Health Research (UK), RS: MHeNs - R2 - Mental Health, Psychiatrie & Neuropsychologie, Karolinska Schizophrenia Project (KaSP), Biological Psychology, APH - Mental Health, APH - Methodology, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Educational and Family Studies, Cognitive Psychology, IBBA, Clinical Neuropsychology, Faculty of Behavioural and Movement Sciences, APH - Personalized Medicine, Developmental Neuroscience in Society, Child and Adolescent Psychiatry / Psychology, Adult Psychiatry, ANS - Complex Trait Genetics, ANS - Mood, Anxiety, Psychosis, Stress & Sleep, Child Psychiatry, ANS - Cellular & Molecular Mechanisms, General Paediatrics, ARD - Amsterdam Reproduction and Development, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Movement Disorder (MD), Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Neurology, Amsterdam Neuroscience - Neurodegeneration, Pediatric surgery, Anatomy and neurosciences, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, and Amsterdam Neuroscience - Brain Imaging

Subjects
Male, diagnostic imaging [Corpus Striatum], Physiology, Hippocampus, Edat, Morfologia (Biologia), Lateral ventricles, anatomy & histology [Corpus Striatum], 0302 clinical medicine, Thalamus, 130 000 Cognitive Neurology & Memory, Basal ganglia, diagnostic imaging [Amygdala], Child, Cervell, Research Articles, diagnostic imaging [Hippocampus], Aged, 80 and over, Radiological and Ultrasound Technology, Putamen, Radiology, Nuclear Medicine & Medical Imaging, 05 social sciences, ENIGMA, Multisi, Brain, Middle Aged, Amygdala, 3. Good health, Neurology, Child, Preschool, Brain size, Female, Anatomy, Life Sciences & Biomedicine, Neurovetenskaper, Research Article, Neuroinformatics, Adult, Adolescent, anatomy & histology [Hippocampus], Human Development, multisite, BF, Neuroimaging, Nucleus accumbens, Biology, Brain morphometry, Morphology (Biology), 050105 experimental psychology, Young Adult, 03 medical and health sciences, Age, Longitudinal trajectories, brain morphometry, Humans, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, ddc:610, anatomy & histology [Thalamus], Aged, diagnostic imaging [Thalamus], Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Science & Technology, Neurosciences, Corpus Striatum, nervous system, anatomy & histology [Amygdala], RC0321, Neurosciences & Neurology, longitudinal trajectories, Neurology (clinical), 030217 neurology & neurosurgery, physiology [Human Development]
Abstract

Special Issue: The ENIGMA Consortium: the first 10 years.-- Karolinska Schizophrenia Project (KaSP)., Age has a major effect on brain volume. However, the normative studies available are constrained by small sample sizes, restricted age coverage and significant methodological variability. These limitations introduce inconsistencies and may obscure or distort the lifespan trajectories of brain morphometry. In response, we capitalized on the resources of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to examine age-related trajectories inferred from cross-sectional measures of the ventricles, the basal ganglia (caudate, putamen, pallidum, and nucleus accumbens), the thalamus, hippocampus and amygdala using magnetic resonance imaging data obtained from 18,605 individuals aged 3–90 years. All subcortical structure volumes were at their maximum value early in life. The volume of the basal ganglia showed a monotonic negative association with age thereafter; there was no significant association between age and the volumes of the thalamus, amygdala and the hippocampus (with some degree of decline in thalamus) until the sixth decade of life after which they also showed a steep negative association with age. The lateral ventricles showed continuous enlargement throughout the lifespan. Age was positively associated with inter-individual variability in the hippocampus and amygdala and the lateral ventricles. These results were robust to potential confounders and could be used to examine the functional significance of deviations from typical age-related morphometric patterns., National Institute of Mental Health, Grant/Award Numbers: MH104284, MH116147, R01MH113619, R01 MH090553, R01MH117014, R01MH042191; Karolinska Institutet; Stockholm County Council; Southern and Eastern Norway Regional Health Authority; German Centre for Cardiovascular Research; DZHK; Siemens Healthineers; University of Queensland; US National Institute of Child Health and Human Development, Grant/Award Number: RO1HD050735; Australian National Health and Medical Research Council; Eunice Kennedy Shriver National Institute of Child Health & Human Development; National Institute on Drug Abuse, Grant/Award Numbers: UL1 TR000153, 1 U24 RR025736-01, 1 U24 RR021992; Brain Injury Fund Research Grant Program; Indiana State Department of Health Spinal Cord; Parents Against Childhood Epilepsy; Epilepsy Therapy Project, Fight Against Childhood Epilepsy and Seizures; Epilepsy Foundation; American Epilepsy Society; Knut and Alice Wallenberg Foundation; European Community's Horizon 2020 Programme; Vici Innovation Program; NWO Brain & Cognition Excellence Program; Netherlands Organization for Scientific Research; Hersenstichting Nederland; Netherlands Organization for Health Research and Development; Geestkracht Programme of the Dutch Health Research Council, Grant/Award Number: 10-000-1001; Universiteit Utrecht; FP7 Ideas: European Research Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Center for Advancing Translational Sciences; National Institutes of Health; National Center for Research Resources; Consortium grant, Grant/Award Number: U54 EB020403; U.S. National Institutes of Health, Grant/Award Numbers: R01 CA101318, P30 AG10133, R01 AG19771; Medical Research Council, Grant/Award Number: G0500092; Fundación Instituto de Investigación Marqués de Valdecilla, Grant/Award Numbers: API07/011, NCT02534363, NCT0235832; Instituto de Salud Carlos III, Grant/Award Numbers: PI14/00918, PI14/00639, PI060507, PI050427, PI020499; the Research Council, Grant/Award Number: 223273; South Eastern Norway Regional Health Authority, Grant/Award Numbers: 2017-112, 2019107; Swedish Research Council; European Community's Seventh Framework Programme, Grant/Award Number: 602450; King's College London; South London and Maudsley NHS Foundation Trust; Biomedical Research Centre; National Institute for Health Research.

Published
2021

23. Uncovering the locus coeruleus: Comparison of localization methods for functional analysis

Author

Veronica Maeki-Marttunen and Thomas Espeseth

Subjects
Adult, Male, Similarity (geometry), Computer science, Cognitive Neuroscience, 050105 experimental psychology, Neuromelanin, lcsh:RC321-571, Young Adult, 03 medical and health sciences, Functional connectivity, 0302 clinical medicine, Functional neuroimaging, Neural Pathways, Image Processing, Computer-Assisted, medicine, Locus coeruleus, Humans, 0501 psychology and cognitive sciences, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Reliability (statistics), Probability, Melanins, Brain Mapping, Echo-Planar Imaging, business.industry, Functional Neuroimaging, 05 social sciences, Pupil, Pattern recognition, Functional imaging, medicine.anatomical_structure, Neurology, Pupillometry, Female, Artificial intelligence, Brainstem, business, Functional analysis (psychology), Nucleus, 030217 neurology & neurosurgery, MRI
Abstract

Functional neuroimaging of small brainstem structures in humans is gaining increasing interest due to their potential importance in aging and many clinical conditions. Researchers have used different methods to measure activity in the locus coeruleus (LC), the main noradrenergic nucleus in the brain. However, the reliability of the different methods for identifying this small structure is unclear. In the present article, we compared four different approaches to estimate localization of the LC in a large sample (N = 98): 1) a probabilistic map from a previous study, 2) masks segmented from neuromelanin-sensitive scans, 3) components from a masked-independent components analysis of the functional data, and 4) a mask from pupil regression of the functional data. The four methods have been used in the community and find some support as reliable ways of assessing the localization of LC in vivo in humans by using functional imaging. We report several measures of similarity between the LC masks obtained from the different methods. In addition, we compare the similarity between functional connectivity maps obtained from the different masks. We conclude that sample-specific masks appear more suitable than masks from a different sample, that masks based on structural versus functional methods may capture different portions of LC, and that, at the group level, the creation of a “consensus” mask using more than one approach may give a better estimate of LC localization.

Published
2021

24. 1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans

Author

James Rucker, Carlos Prieto, Elena Shumskaya, Masaki Fukunaga, Vince D. Calhoun, Anne Uhlmann, Jeremy Hall, Evangelos Vassos, Andrew J. Schork, Erik G. Jönsson, Jayne Y. Hehir-Kwa, Sébastien Jacquemont, Erin Burke Quinlan, Paul M. Thompson, Jouke-Jan Hottenga, Paola Dazzan, Stefan Ehrlich, Alexander Teumer, Eco J. C. de Geus, Kari Stefansson, Sandra Martin-Brevet, Claudia Modenato, Tomáš Paus, Tiago Reis Marques, Benedicto Crespo-Facorro, Katrin Amunts, Marianne Bernadette van den Bree, Jingyu Liu, Niklas Rye Jørgensen, Oleksandr Frei, G. Bruce Pike, Lars Nyberg, Jan Haavik, Katharina Wittfeld, Else Eising, Jennifer Monereo Sánchez, Allan F. McRae, Simone Ciufolini, Samuel R. Mathias, Lars T. Westlye, Loes M. Olde Loohuis, Sigrid Botne Sando, Nicholas G. Martin, Ingrid Agartz, Ana I. Silva, Bogdan Draganski, Tian Ge, Emma Knowles, Micael Andersson, Kim Fejgin, Dennis van 't Ent, Dan J. Stein, Costin Leu, Henry Brodaty, Thomas Espeseth, Gunter Schumann, Gary Donohoe, Stephanie Le Hellard, Dorret I. Boomsma, Simon E. Fisher, Greig I. de Zubicaray, Shareefa Dalvie, Ida E Sønderby, Roel A. Ophoff, Derek W. Morris, Margaret J. Wright, Katie L. McMahon, Georg Homuth, Tobias Kaufmann, David C. Glahn, Nicholas B. Blackburn, Nicola J. Armstrong, Ikuo K. Suzuki, Dennis van der Meer, Clara Moreau, Per Hoffmann, Christiane Jockwitz, Pierre Vanderhaeghen, Jacob Nielsen, Anders M. Dale, David Ames, Sarah E. Medland, Torgeir Moberget, Robin M. Murray, Maria Ellegaard, Srdjan Djurovic, Nynke A. Groenewold, Laurena Holleran, Neda Jahanshad, Lachlan T. Strike, John Blangero, Jean Shin, Arvid Lundervold, Sanjay M. Sisodiya, Wiepke Cahn, Vincent Frouin, Christopher R.K. Ching, Astri J. Lundervold, Karen A. Mather, Manon H.J. Hillegers, Asta Håberg, Hans J. Grabe, Kuldeep Kumar, Derrek P. Hibar, Christian K. Tamnes, David Edmund Johannes Linden, Wei Wen, Joanne E. Curran, Ryota Hashimoto, Masataka Kikuchi, Zdenka Pausova, Peter R. Schofield, Joanne L. Doherty, Thomas Gareau, Anbupalam Thalamuthu, Rachel M. Brouwer, Magnus O. Ulfarsson, Thomas W. Mühleisen, G. Bragi Walters, Abdel Abdellaoui, Svenja Caspers, Sylvane Desrivières, Ole A. Andreassen, Masashi Ikeda, Avram J. Holmes, Hilleke E. Hulshoff Pol, Céline S. Reinbold, Juan M. Peralta, Tormod Fladby, Jan Egil Nordvik, Manon Bernard, Anne M. Maillard, Michael John Owen, Omar Gustafsson, Diana Tordesillas-Gutiérrez, Robin Bülow, Sven Cichon, Rune Boen, Andreas Meyer-Lindenberg, Sonja M C de Zwarte, Vidar M. Steen, Perminder S. Sachdev, Stefan Johansson, Hreinn Stefansson, ENIGMA-CNV working group, van der Meer, D., de Geus, EJC, de Zubicaray, G.I., de Zwarte, SMC, Le Hellard, S., van 't Ent, D., van den Bree, MBM, the ENIGMA-CNV working group, Psychiatrie & Neuropsychologie, RS: MHeNs - R2 - Mental Health, RS: MHeNs - R3 - Neuroscience, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, Beeldvorming, Adult Psychiatry, Child and Adolescent Psychiatry / Psychology, Psychiatry, Biological Psychology, APH - Mental Health, APH - Methodology, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Helmholtz Association, European Commission, Netherlands Organization for Scientific Research, European Research Council, Knut and Alice Wallenberg Foundation, Innovative Medicines Initiative, European Federation of Pharmaceutical Industries and Associations, Science Foundation Ireland, Medical Research Council (UK), Wellcome Trust, Waterloo Foundation, National Institute of Mental Health (US), National Institutes of Health (US), Department of Health & Social Care (UK), NIHR Biomedical Research Centre (UK), NHS Foundation Trust, Harvard University, Massachusetts General Hospital, Swedish Research Council, Norwegian University of Science and Technology, Swedish Research Council for Sustainable Development, Kings College London, Federal Ministry of Education and Research (Germany), German Research Foundation, Agence Nationale de la Recherche (France), Fondation de France, Fondation pour la Recherche Médicale, Research Council of Norway, University of Bergen, European Science Foundation, National Health and Medical Research Council (Australia), Australian Research Council, Japan Agency for Medical Research and Development, Instituto de Salud Carlos III, Fundación Marques de Valdecilla, National Institute on Drug Abuse (US), Eunice Kennedy Shriver National Institute of Child Health and Human Development (US), University of Greifswald, Mecklenburg-Western Pomerania, and University of Oslo

Subjects
0301 basic medicine, Male, genetic structures, PHENOTYPE, 0302 clinical medicine, Cognition, DUPLICATIONS, Gene duplication, Medicine, genetics [Schizophrenia], Copy-number variation, BRAIN, Psychiatry, ABNORMALITIES, REARRANGEMENTS, Brain, EXPANSION, 3. Good health, GENOME, Psychiatry and Mental health, Schizophrenia, Medical genetics, Female, medicine.symptom, Chromosome Deletion, Life Sciences & Biomedicine, Medical Genetics, Neuroinformatics, endocrine system, medicine.medical_specialty, Elementary cognitive task, MICRODUPLICATION, DNA Copy Number Variations, Molecular neuroscience, Psykiatri, Article, lcsh:RC321-571, 03 medical and health sciences, Cellular and Molecular Neuroscience, SDG 3 - Good Health and Well-being, Humans, Clinical genetics, ddc:610, diagnostic imaging [Brain], lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Biological Psychiatry, Cognitive deficit, Medicinsk genetik, Science & Technology, business.industry, CHROMOSOME 1Q21.1, medicine.disease, MICRODELETIONS, eye diseases, 030104 developmental biology, Autism, sense organs, Psychiatric disorders, business, Neuroscience, 030217 neurology & neurosurgery
Abstract

ENIGMA-CNV working group., Low-frequency 1q21.1 distal deletion and duplication copy number variant (CNV) carriers are predisposed to multiple neurodevelopmental disorders, including schizophrenia, autism and intellectual disability. Human carriers display a high prevalence of micro- and macrocephaly in deletion and duplication carriers, respectively. The underlying brain structural diversity remains largely unknown. We systematically called CNVs in 38 cohorts from the large-scale ENIGMA-CNV collaboration and the UK Biobank and identified 28 1q21.1 distal deletion and 22 duplication carriers and 37,088 non-carriers (48% male) derived from 15 distinct magnetic resonance imaging scanner sites. With standardized methods, we compared subcortical and cortical brain measures (all) and cognitive performance (UK Biobank only) between carrier groups also testing for mediation of brain structure on cognition. We identified positive dosage effects of copy number on intracranial volume (ICV) and total cortical surface area, with the largest effects in frontal and cingulate cortices, and negative dosage effects on caudate and hippocampal volumes. The carriers displayed distinct cognitive deficit profiles in cognitive tasks from the UK Biobank with intermediate decreases in duplication carriers and somewhat larger in deletion carriers—the latter potentially mediated by ICV or cortical surface area. These results shed light on pathobiological mechanisms of neurodevelopmental disorders, by demonstrating gene dose effect on specific brain structures and effect on cognitive function., 1000BRAINS: The 1000BRAINS study was funded by the Institute of Neuroscience and Medicine, Research Center Juelich, Germany. We thank the Heinz Nixdorf Foundation (Germany) for the generous support of the Heinz Nixdorf Recall Study on which 1000BRAINS is based. We also thank the scientists and the study staff of the Heinz Nixdorf Recall Study and 1000BRAINS. Funding was also granted by the Initiative and Networking Fund of the Helmholtz Association (Caspers) and the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement 945539 (Human Brain Project SGA3; Amunts, Caspers, Cichon). Brainscale: The Brainscale study was supported by the Netherlands Organization for Scientific Research MagW 480-04-004 (Dorret I. Boomsma), 51.02.060 (Hilleke E. Hulshoff Pol), 668.772 (Dorret I. Boomsma and Hilleke E. Hulshoff Pol); NWO/SPI 56-464-14192 (Dorret I. Boomsma), the European Research Council (ERC-230374) (Dorret I. Boomsma), High Potential Grant Utrecht University (Hilleke E.Hulshoff Pol) and NWO Brain and Cognition 433-09-220 (Hilleke E.Hulshoff Pol). Betula: The Betula study was funded by the Knut and Alice Wallenberg (KAW) foundation (Nyberg). The Freesurfer segmentations on the Betula sample were performed on resources provided by the Swedish National Infrastructure for Computing (SNIC) at HPC2N (in Umeå, Sweden), partially funded by the Swedish Research Council through grant agreement no. 2018-05973. Brain Imaging Genetics (BIG): This work makes use of the BIG database, first established in Nijmegen, The Netherlands, in 2007. This resource is now part of Cognomics (www.cognomics.nl), a joint initiative by researchers from the Donders Centre for Cognitive Neuroimaging, the Human Genetics and Cognitive Neuroscience departments of the Radboud University Medical Centre and the Max Planck Institute for Psycholinguistics in Nijmegen. The Cognomics Initiative has received support from the participating departments and centres and from external grants, that is, the Biobanking and Biomolecular Resources Research Infrastructure (Netherlands) (BBMRI-NL), the Hersenstichting Nederland and the Netherlands Organization for Scientific Research (NWO). The research leading to these results also receives funding from the NWO Gravitation grant ‘Language in Interaction’, the European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement nos. 602450 (IMAGEMEND), 278948 (TACTICS) and 602805 (Aggressotype), as well as from the European Community’s Horizon 2020 programme under grant agreement no. 643051 (MiND) and from ERC-2010-AdG 268800-NEUROSCHEMA. In addition, the work was supported by a grant for the ENIGMA Consortium (grant number U54 EB020403) from the BD2K Initiative of a cross-NIH partnership. deCODE genetics: deCODE genetics acknowledges support from the Innovative Medicines Initiative Joint Undertaking under grant agreement nos. 115008 (NEWMEDS) and 115300 (EUAIMS), of which resources are composed of EFPIA in-kind contribution and financial contribution from the European Union’s Seventh Framework Programme (EU-FP7/2007-2013), EU-FP7-funded grant agreement no. 602450 (IMAGEMEND) and EU-funded FP7-People-2011-IAPP grant agreement no. 286213 (PsychDPC). Dublin: This work was supported by Science Foundation Ireland (SFI grant 12/IP/1359 to Gary Donohoe and grant SFI08/IN.1/B1916-Corvin to Aidan C. Corvin). ECHO-DEFINE: The ECHO study acknowledges funding from a Medical Research Council (MRC) Centre Grant to Michael J. Owen (G0801418), the Wellcome Trust (Institutional Strategic Support Fund (ISSF) to van den Bree and Clinical Research Training Fellowship to Joanne L. Doherty), the Waterloo Foundation (WF 918-1234 to van den Bree), the Baily Thomas Charitable Fund (2315/1 to van den Bree), National Institute of Mental Health (NIMH 5UO1MH101724 to van den Bree and Michael J. Owen), the IMAGINE-2 study (funded by the MRC (MR/T033045/1) to van den Bree, Jeremy Hall and Michael J. Owen), the IMAGINE-ID study (funded by MRC (MR/N022572/1) to Jeremy Hall, van den Bree and Owen). The DEFINE study was supported by a Wellcome Trust Strategic Award (100202/Z/12/Z) to Michael J. Owen. ENIGMA: ENIGMA is supported in part by NIH grants U54 EB20403, R01MH116147 and R56AG058854. NIA T32AG058507; NIH/NIMH 5T32MH073526. EPIGEN-Dublin: The EPIGEN-Dublin cohort was supported by a Science Foundation Ireland Research Frontiers Programme award (08/RFP/GEN1538). EPIGEN-UK (Sisodiya): The work was partly undertaken at UCLH/UCL, which received a proportion of funding from the UK Department of Health’s NIHR Biomedical Research Centres funding scheme. We are grateful to the Wolfson Trust and the Epilepsy Society for supporting the Epilepsy Society MRI scanner. GAP: This work was supported by the National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and the Institute of Psychiatry, Psychology and Neuroscience, King’s College London. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health. GOBS: The GOBS study data collection was supported in part by the National Institutes of Health (NIH) grants: R01 MH078143, R01 MH078111 and R01 MH083824, with work conducted in part in facilities constructed under the support of NIH grant C06 RR020547. GSP: Data were in part provided by the Brain Genomics Superstruct Project (GSP) of Harvard University and Massachusetts General Hospital (MGH) (Principal Investigators: Randy Buckner, Jordan Smoller and Joshua Roffman), with support from the Center for Brain Science Neuroinformatics Research Group, Athinoula A. Martinos Center for Biomedical Imaging, Center for Genomic Medicine and Stanley Center for Psychiatric Research. Twenty individual investigators at Harvard and MGH generously contributed data to the overall project. We would like to thank Randy Buckner for insightful comments and feedback on this work. HUBIN: The HUBIN study was financed by the Swedish Research Council (K2010-62X-15078-07-2, K2012-61X-15078-09-3, 521-2014-3487 K2015-62X-15077-12-3, 2017-00949), the regional agreement on medical training and clinical research between Stockholm County Council and the Karolinska Institutet. HUNT: The HUNT study is a collaboration between HUNT Research Centre (Faculty of Medicine and Movement Sciences, NTNU—Norwegian University of Science and Technology), Nord-Trøndelag County Council, Central Norway Health Authority and the Norwegian Institute of Public Health. HUNT-MRI was funded by the Liaison Committee between the Central Norway Regional Health Authority and the Norwegian University of Science and Technology, and the Norwegian National Advisory Unit for functional MRI. IMAGEN: This work received support from the following sources: the European Union-funded FP6 Integrated Project IMAGEN (reinforcement-related behaviour in normal brain function and psychopathology) (LSHM-CT- 2007-037286), the Horizon 2020 funded ERC Advanced Grant ‘STRATIFY’ (Brain network based stratification of reinforcement-related disorders) (695313), ERANID (Understanding the Interplay between Cultural, Biological and Subjective Factors in Drug Use Pathways) (PR-ST-0416-10004), BRIDGET (JPND: BRain Imaging, cognition Dementia and next generation GEnomics) (MR/N027558/1), Human Brain Project (HBP SGA 2, 785907),the FP7 projects IMAGEMEND(602450; IMAging GEnetics for MENtal Disorders) and MATRICS (603016), the Innovative Medicine Initiative Project EUAIMS (115300-2), the Medical Research Council Grant ‘c-VEDA’ (Consortium on Vulnerability to Externalizing Disorders and Addictions) (MR/N000390/1), the Swedish Research Council FORMAS, the Medical Research Council, the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, the Bundesministeriumfür Bildung und Forschung (BMBF grants 01GS08152, 01EV0711; eMED SysAlc01ZX1311A; Forschungsnetz AERIAL 01EE1406A, 01EE1406B), the Deutsche Forschungsgemeinschaft (DFG grants, SM 80/7-2, SFB 940/2), the Medical Research Foundation and Medical Research Council (grants MR/R00465X/1 and MR/S020306/1). Further support was provided by grants from: ANR (project AF12-NEUR0008-01—WM2NA, ANR-12-SAMA-0004), the Eranet Neuron (ANR-18-NEUR00002-01), the Fondation de France (00081242), the Fondation pour la Recherche Médicale (DPA20140629802), the Mission Interministérielle de Lutte-contre-les-Drogues-et-les-Conduites-Addictives (MILDECA), the Assistance-Publique-Hôpitaux-de-Paris and INSERM (interface grant), Paris Sud University IDEX 2012, the Fondation de l’Avenir (grant AP-RM-17-013), the Fédération pour la Recherche sur le Cerveau; the National Institutes of Health, Science Foundation Ireland (16/ERCD/3797), USA (Axon, Testosterone and Mental Health during Adolescence; RO1 MH085772-01A1) and by NIH Consortium grant U54 EB020403, supported by a cross-NIH alliance that funds Big Data to Knowledge Centres of Excellence. Lifespan: The study is funded by the Research Council of Norway (230345, 288083 and 223273). NCNG: NCNG sample collection was supported by grants from the Bergen Research Foundation and the University of Bergen, the Dr Einar Martens Fund, the Research Council of Norway, to le Hellard, Steen and Espeseth. The Bergen group was supported by grants from the Western Norway Regional Health Authority (Grant 911593 to Arvid Lundervold, Grant 911397 and 911687 to Astri Johansen Lundervold). NTR: The NTR cohort was supported by the Netherlands Organization for Scientific Research (NWO) and The Netherlands Organisation for Health Research and Development (ZonMW) grants 904-61-090, 985-10-002, 912-10-020, 904-61-193, 480-04-004,463-06-001, 451-04-034, 400-05-717, Addiction-31160008, 016-115-035, 481-08-011, 056-32-010, Middelgroot-911-09-032, OCW_NWO Gravity programme—024.001.003, NWO-Groot 480-15-001/674, Center for Medical Systems Biology (CSMB, NWO Genomics), NBIC/BioAssist/RK(2008.024), Biobanking and Biomolecular Resources Research Infrastructure (BBMRI-NL, 184.021.007 and 184.033.111); Spinozapremie (NWO-56-464-14192), KNAW Academy Professor Award (PAH/6635) and University Research Fellow grant (URF) to Dorret I. Boomsma; Amsterdam Public Health research institute (former EMGO+), Neuroscience Amsterdam research institute (former NCA); the European Science Foundation (ESF, EU/QLRT-2001-01254), the European Community’s Seventh Framework Programme (FP7- HEALTH-F4-2007-2013, grant 01413: ENGAGE and grant 602768: ACTION); the European Research Council (ERC Starting 284167, ERC Consolidator 771057, ERC Advanced 230374), Rutgers University Cell and DNA Repository (NIMH U24 MH068457-06), the National Institutes of Health (NIH, R01D0042157-01A1, R01MH58799-03, MH081802, DA018673, R01 DK092127-04, Grand Opportunity grants 1RC2 MH089951 and 1RC2 MH089995); the Avera Institute for Human Genetics, Sioux Falls, South Dakota (USA). Part of the genotyping and analyses were funded by the Genetic Association Information Network (GAIN) of the Foundation for the National Institutes of Health. Computing was supported by NWO through grant 2018/EW/00408559, BiG Grid, the Dutch e-Science Grid and SURFSARA. OATS: The OATS study has been funded by a National Health & Medical Research Council (NHMRC) and Australian Research Council (ARC) Strategic Award Grant of the Ageing Well, Ageing Productively Programme (ID No. 401162) and NHMRC Project Grants (ID Nos. 1045325 and 1085606). This research was facilitated through Twins Research Australia, a national resource in part supported by an NHMRC Centre for Research Excellence Grant (ID No.: 1079102). We thank the participants for their time and generosity in contributing to this research. We acknowledge the contribution of the OATS research team (https://cheba.unsw.edu.au/project/older-australian-twins-study) to this study. OATS genotyping was partly funded by a Commonwealth Scientific and Industrial Research Organization Flagship Collaboration Fund Grant. Osaka: Osaka study was supported by the Brain Mapping by Integrated Neurotechnologies for Disease Studies (Brain/MINDS: Grant Number JP18dm0207006), Brain/MINDS& beyond studies (Grant Number JP20dm0307002) and Health and Labour Sciences Research Grants for Comprehensive Research on Persons with Disabilities (Grant Number JP20dk0307081) from the Japan Agency for Medical Research and Development (AMED), Grants-in-Aid for Scientific Research (KAKENHI; Grant Numbers JP25293250 and JP16H05375). Some computations were performed at the Research Center for Computational Science, Okazaki, Japan. PAFIP: The PAFIP study was supported by Instituto de Salud Carlos III, FIS 00/3095, 01/3129, PI020499, PI060507, PI10/00183, the SENY Fundació Research Grant CI2005-0308007 and the FundaciónMarqués de Valdecilla API07/011. Biological samples from our cohort were stored at the Valdecilla Biobank and genotyping services were conducted at the Spanish ‘Centro Nacional de Genotipado’ (CEGEN-ISCIII). MCIC/COBRE: The study is funded by the National Institutes of Health studies R01EB006841, P20GM103472 and P30GM122734 and Department of Energy DE-FG02-99ER62764. PING: Data collection and sharing for the Paediatric Imaging, Neurocognition and Genetics (PING) Study (National Institutes of Health Grant RC2DA029475) were funded by the National Institute on Drug Abuse and the Eunice Kennedy Shriver National Institute of Child Health & Human Development. A full list of PING investigators is at http://pingstudy.ucsd.edu/investigators.html. QTIM: The QTIM study was supported by the National Institute of Child Health and Human Development (R01 HD050735) and the National Health and Medical Research Council (NHMRC 486682, 1009064), Australia. Genotyping was supported by NHMRC (389875). Medland is supported in part by an NHMRC fellowship (APP1103623). SHIP: SHIP is part of the Community Medicine Research net of the University of Greifswald, Germany, which is funded by the Federal Ministry of Education and Research (grant nos. 01ZZ9603, 01ZZ0103 and 01ZZ0403), the Ministry of Cultural Affairs and the Social Ministry of the Federal State of Mecklenburg-West Pomerania. Genome-wide single-nucleotide polymorphism typing in SHIP and MRI scans in SHIP and SHIP-TREND have been supported by a joint grant from Siemens Healthineers, Erlangen, Germany and the Federal State of Mecklenburg-West Pomerania. StrokeMRI: StrokeMRI was supported by the Norwegian ExtraFoundation for Health and Rehabilitation(2015/FO5146), the Research Council of Norway (249795, 262372), the South-Eastern Norway Regional Health Authority (2014097, 2015044, 2015073) and the Department of Psychology, University of Oslo. Sydney MAS: The Sydney Memory and Aging Study (Sydney MAS) is funded by National and HealthMedical Research Council (NHMRC) Programme and Project Grants (ID350833, ID568969 and ID109308). We also thank the Sydney MAS participants and the Research Team. SYS: The SYS Study is supported by Canadian Institutes of Health Research. TOP: Centre of Excellence: RCN #23273 and RCN #226971. Part of this work was performed on the TSD (Tjeneste for Sensitive Data) facilities, owned by the University of Oslo, operated and developed by the TSD service group at the University of Oslo, IT-Department (USIT) (tsd-drift@usit.uio.no). The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7-PEOPLE-2013-COFUND) under grant agreement no. 609020—Scientia Fellows; the Research Council of Norway (RCN) #276082—A lifespan perspective on mental illness: toward precision medicine using multimodal brain imaging and genetics. Ida E. Sønderby and Rune Bøen are supported by South-Eastern Norway Regional Health Authority (#2020060). Ida E. Sønderby and Ole A. Andreassen have received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant agreement no. 847776 (CoMorMent project) and the KG Jebsen Foundation (SKGJ-MED-021). UCLA_UMCU: The UCLA_UMCU cohort comprises of six studies which were supported by National Alliance for Research in Schizophrenia and Affective Disorders (NARSAD) (20244 to Prof. Hillegers), The Netherlands Organisation for Health Research and Development (ZonMw) (908-02-123 to Prof. Hulshoff Pol), and Netherlands Organisation for Scientific Research (NWO 9120818 and NWO-VIDI 917-46-370 to Prof. Hulshoff Pol). The GROUP study was funded through the Geestkracht programme of the Dutch Health Research Council (ZonMw, grant number 10-000-1001), and matching funds from participating pharmaceutical companies (Lundbeck, AstraZeneca, Eli Lilly and Janssen Cilag) and universities and mental health care organizations (Amsterdam: Academic Psychiatric Centre of the Academic Medical Center and the mental health institutions: GGZ inGeest, Arkin, Dijk en Duin, GGZ Rivierduinen, Erasmus Medical Centre, GGZ Noord-Holland-Noord. Groningen: University Medical Center Groningen and the mental health institutions: Lentis, GGZ Friesland, GGZ Drenthe, Dimence, Mediant, GGNet Warnsveld, Yulius Dordrecht and Parnassia Psycho-medical Center, The Hague. Maastricht: Maastricht University Medical Centre and the mental health institutions: GGzE, GGZ Breburg, GGZ Oost-Brabant, Vincent van Gogh, voor Geestelijke Gezondheid, Mondriaan, Virenzeriagg, Zuyderland GGZ, MET ggz, Universitair Centrum Sint-JozefKortenberg, CAPRI University of Antwerp, PC Ziekeren Sint-Truiden, PZ Sancta Maria Sint-Truiden, GGZ Overpelt, OPZ Rekem. Utrecht: University Medical Center Utrecht and the mental health institutions: Altrecht, GGZ Centraal and Delta.). UK Biobank: This work made use of data sharing from UK Biobank (under project code 27412). Others: Work by Pierre Vanderhaeghen was funded by Grants of the European Research Council (ERC Adv Grant GENDEVOCORTEX), the EOS Programme, the Belgian FWO, the AXA Research Fund and the Belgian Queen Elizabeth Foundation. Ikuo K. Suzuki was supported by a postdoctoral fellowship of the FRS/FNRS.

Published
2021

25. Associations Between Attention-Deficit/Hyperactivity Disorder and Various Eating Disorders: A Swedish Nationwide Population Study Using Multiple Genetically Informative Approaches

Author

Yao, S., Kuja-Halkola, R., Martin, J., Lu, Y., Lichtenstein, P., Hubel, C., Almqvist, C., Magnusson, P. K., Bulik, C. M., Larsson, H., Norring, C., Birgegard, A., Yilmaz, Z., Watson, H., Baker, J., Thornton, L. M., Adan, R., Ando, T., Bergen, A., Berrettini, W., Boni, C., Boraska Perica, V., Brandt, H., Burghardt, R., Cassina, M., Cesta, C., Clementi, M., Coleman, J., Cone, R., Courtet, P., Crawford, S., Crow, S., Crowley, J., Danner, U., Davis, O., de Zwaan, M., Dedoussis, G., Degortes, D., Desocio, J., Dick, D., Dikeos, D., Dmitrzak-Weglarz, M., Docampo, E., Egberts, K., Ehrlich, S., Escaramis, G., Esko, T., Estivill, X., Favaro, A., Fernandez-Aranda, F., Fichter, M., Finan, C., Fischer, K., Focker, M., Foretova, L., Forzan, M., Franklin, C., Gaspar, H., Gonidakis, F., Gorwood, P., Gratacos, M., Guillaume, S., Guo, Y., Hakonarson, H., Halmi, K., Hatzikotoulas, K., Hauser, J., Hebebrand, J., Helder, S., Hendriks, J., Herpertz-Dahlmann, B., Herzog, W., Hilliard, C., Hinney, A., Huckins, L., Hudson, J., Huemer, J., Imgart, H., Inoko, H., Jimenez-Murcia, S., Johnson, C., Jordan, J., Jureus, A., Kalsi, G., Kaminska, D., Kaplan, A., Kaprio, J., Karhunen, L., Karwautz, A., Kas, M., Kaye, W., Kennedy, J., Kennedy, M., Keski-Rahkonen, A., Kiezebrink, K., Kim, Y. -R., Klump, K., Knudsen, G. P., Koeleman, B., Koubek, D., La Via, M., Landen, M., Levitan, R., Li, D., Lilenfeld, L., Lissowska, J., Magistretti, P., Maj, M., Mannik, K., Martin, N., Mcdevitt, S., Mcguffin, P., Merl, E., Metspalu, A., Meulenbelt, I., Micali, N., Mitchell, J., Mitchell, K., Monteleone, P., Monteleone, A. M., Mortensen, P., Munn-Chernoff, M., Nacmias, B., Nilsson, I., Ntalla, I., O'Toole, J., Pantel, J., Papezova, H., Parker, R., Rabionet, R., Raevuori, A., Rajewski, A., Ramoz, N., Rayner, N. W., Reichborn-Kjennerud, T., Ricca, V., Ripke, S., Ritschel, F., Roberts, M., Rotondo, A., Rybakowski, F., Santonastaso, P., Scherag, A., Schmidt, U., Schork, N., Schosser, A., Seitz, J., Slachtova, L., Slagboom, P. E., Slof-Op't Landt, M., Slopien, A., Smith, T., Sorbi, S., Strengman, E., Strober, M., Sullivan, P., Szatkiewicz, J., Szeszenia-Dabrowska, N., Tachmazidou, I., Tenconi, E., Thornton, L., Tortorella, A., Tozzi, F., Treasure, J., Tsitsika, A., Tziouvas, K., van Elburg, A., van Furth, E., Wade, T., Wagner, G., Walton, E., Woodside, D. B., Zeggini, E., Zerwas, S., Zipfel, S., Alfredsson, L., Andreassen, O., Aschauer, H., Barrett, J., Bencko, V., Carlberg, L., Cichon, S., Cohen-Woods, S., Dina, C., Ding, B., Espeseth, T., Floyd, J., Gallinger, S., Gambaro, G., Giegling, I., Herms, S., Janout, V., Julia, A., Klareskog, L., Le Hellard, S., Leboyer, M., Lundervold, A., Marsal, S., Mattingsdal, M., Navratilova, M., Ophoff, R., Palotie, A., Pinto, D., Ripatti, S., Rujescu, D., Scherer, S., Scott, L., Sladek, R., Soranzo, N., Southam, L., Steen, V., Wichmann, H. -E., Widen, E., Breen, G., Bulik, C., Yao, S., Kuja-Halkola, R., Martin, J., Lu, Y., Lichtenstein, P., Hubel, C., Almqvist, C., Magnusson, P. K., Bulik, C. M., Larsson, H., Norring, C., Birgegard, A., Yilmaz, Z., Watson, H., Baker, J., Thornton, L. M., Adan, R., Ando, T., Bergen, A., Berrettini, W., Boni, C., Boraska Perica, V., Brandt, H., Burghardt, R., Cassina, M., Cesta, C., Clementi, M., Coleman, J., Cone, R., Courtet, P., Crawford, S., Crow, S., Crowley, J., Danner, U., Davis, O., de Zwaan, M., Dedoussis, G., Degortes, D., Desocio, J., Dick, D., Dikeos, D., Dmitrzak-Weglarz, M., Docampo, E., Egberts, K., Ehrlich, S., Escaramis, G., Esko, T., Estivill, X., Favaro, A., Fernandez-Aranda, F., Fichter, M., Finan, C., Fischer, K., Focker, M., Foretova, L., Forzan, M., Franklin, C., Gaspar, H., Gonidakis, F., Gorwood, P., Gratacos, M., Guillaume, S., Guo, Y., Hakonarson, H., Halmi, K., Hatzikotoulas, K., Hauser, J., Hebebrand, J., Helder, S., Hendriks, J., Herpertz-Dahlmann, B., Herzog, W., Hilliard, C., Hinney, A., Huckins, L., Hudson, J., Huemer, J., Imgart, H., Inoko, H., Jimenez-Murcia, S., Johnson, C., Jordan, J., Jureus, A., Kalsi, G., Kaminska, D., Kaplan, A., Kaprio, J., Karhunen, L., Karwautz, A., Kas, M., Kaye, W., Kennedy, J., Kennedy, M., Keski-Rahkonen, A., Kiezebrink, K., Kim, Y. -R., Klump, K., Knudsen, G. P., Koeleman, B., Koubek, D., La Via, M., Landen, M., Levitan, R., Li, D., Lilenfeld, L., Lissowska, J., Magistretti, P., Maj, M., Mannik, K., Martin, N., Mcdevitt, S., Mcguffin, P., Merl, E., Metspalu, A., Meulenbelt, I., Micali, N., Mitchell, J., Mitchell, K., Monteleone, P., Monteleone, A. M., Mortensen, P., Munn-Chernoff, M., Nacmias, B., Nilsson, I., Ntalla, I., O'Toole, J., Pantel, J., Papezova, H., Parker, R., Rabionet, R., Raevuori, A., Rajewski, A., Ramoz, N., Rayner, N. W., Reichborn-Kjennerud, T., Ricca, V., Ripke, S., Ritschel, F., Roberts, M., Rotondo, A., Rybakowski, F., Santonastaso, P., Scherag, A., Schmidt, U., Schork, N., Schosser, A., Seitz, J., Slachtova, L., Slagboom, P. E., Slof-Op't Landt, M., Slopien, A., Smith, T., Sorbi, S., Strengman, E., Strober, M., Sullivan, P., Szatkiewicz, J., Szeszenia-Dabrowska, N., Tachmazidou, I., Tenconi, E., Thornton, L., Tortorella, A., Tozzi, F., Treasure, J., Tsitsika, A., Tziouvas, K., van Elburg, A., van Furth, E., Wade, T., Wagner, G., Walton, E., Woodside, D. B., Zeggini, E., Zerwas, S., Zipfel, S., Alfredsson, L., Andreassen, O., Aschauer, H., Barrett, J., Bencko, V., Carlberg, L., Cichon, S., Cohen-Woods, S., Dina, C., Ding, B., Espeseth, T., Floyd, J., Gallinger, S., Gambaro, G., Giegling, I., Herms, S., Janout, V., Julia, A., Klareskog, L., Le Hellard, S., Leboyer, M., Lundervold, A., Marsal, S., Mattingsdal, M., Navratilova, M., Ophoff, R., Palotie, A., Pinto, D., Ripatti, S., Rujescu, D., Scherer, S., Scott, L., Sladek, R., Soranzo, N., Southam, L., Steen, V., Wichmann, H. -E., Widen, E., Breen, G., Bulik, C., Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], School of Medicine [Cardiff], Cardiff University-Institute of Medical Genetics [Cardiff], University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), Department Psychiatry [Chapel Hill], University of North Carolina System (UNC)-University of North Carolina System (UNC), Oregon Research Institute (ORI), Department of Psychiatry [Philadelphia], University of Pennsylvania [Philadelphia], Stockholm County Council, Analyse Phenotypique, Developpementale et Genetique des Comportements Addictifs, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Diderot - Paris 7 (UPD7), University of Split, Azienda Ospedaliera di Padova, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Department of Nutrition-Dietetics, Harokopio University of Athens, University of Athens Medical School [Athens], MetaGenoPolis, Institut National de la Recherche Agronomique (INRA), Medstar Research Institute, Center for Genomic Regulation (CRG-UPF), CIBER de Epidemiología y Salud Pública (CIBERESP), Department of Psychiatry (IDIBELL), CIBERobn Fisiopatología de la Obesidad y Nutrición-University Hospital of Bellvitge, Infectious diseases division, Department of internal medicine, Washington University in Saint Louis (WUSTL), Masaryk Memorial Cancer Institute and Medical Faculty of Masaryk University, National and Kapodistrian University of Athens (NKUA), Institut de psychiatrie et neurosciences (U894 / UMS 1266), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Neuropsychiatrie : recherche épidémiologique et clinique (PSNREC), Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), The Center for Applied Genomics, Children’s Hospital of Philadelphia (CHOP ), Weill Medical College of Cornell University [New York], Department of Genomics, Department of Child and Adolescent Psychiatry and Psychotherapy, LVR-Klinikum Essen, Universität Duisburg-Essen [Essen], Rheinisch-Westfälische Technische Hochschule Aachen (RWTH), Icahn School of Medicine at Mount Sinai [New York] (MSSM), School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia., Tokai University, Institute for Marine and Antarctic Studies [Horbat] (IMAS), University of Tasmania [Hobart, Australia] (UTAS), National Institute for Health and Welfare [Helsinki], Medizinische Universität Wien = Medical University of Vienna, University of California [San Diego] (UC San Diego), University of California, Psychiatric Neurogenetics Section, Centre for Addiction and Mental Health, School of Computing [Dublin], Dublin City University [Dublin] (DCU), University of Helsinki, University Medical Center [Utrecht], Department of medicine [Stockholm], Karolinska Institutet [Stockholm]-Karolinska University Hospital [Stockholm], Oak Ridge National Laboratory [Oak Ridge] (ORNL), UT-Battelle, LLC, The M Sklodowska-Curie Cancer Center and Institute of Oncology, Brain and Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), Università degli studi della Campania 'Luigi Vanvitelli', Center for Integrative Genomics - Institute of Bioinformatics, Génopode (CIG), Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne (UNIL)-Université de Lausanne (UNIL), Queensland Institute of Medical Research, MRC Social, Genetic and Developmental Psychiatry Centre (SGDP), King‘s College London-The Institute of Psychiatry, Estonian Genome and Medicine, University of Tartu, Section Molecular Epidemiology, Leiden University Medical Center (LUMC), Institute of Psychiatry, King's College, Università degli Studi di Salerno (UNISA), Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Vanderbilt University School of Medicine [Nashville], Charles University [Prague] (CU), Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K, Norwegian Institute of Public Health [Oslo] (NIPH), Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Institute of Medical Informatics, Biometry and Epidemiology, The Scripps Translational Science Institute and The Scripps Research Institute, MRC Centre for Neuropsychiatric Genetics and Genomics, Medical Research Council-Cardiff University, Leiden University Medical Center (LUMC), David Geffen School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California-University of California, The Jackson Laboratory [Bar Harbor] (JAX), The Nofer Institute of Occupational Medicine, Università degli Studi di Perugia (UNIPG), Neurosciences Centre of Excellence in Drug Discovery, GlaxoSmithKline Research and Development, Utrecht University [Utrecht], SURFACES, Institut de recherches sur la catalyse et l'environnement de Lyon (IRCELYON), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Centre épigénétique et destin cellulaire (EDC (UMR_7216)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Department Biostatistics University of North Carolina, Human Genetics, The Wellcome Trust Sanger Institute [Cambridge], Institute of Environmental Medicine, Karolinska Institutet [Stockholm]-Sachs' Children's Hospital, KG Jebsen Centre for Psychosis Research, University of Oslo (UiO)-Institute of Clinical Medicine-Oslo University Hospital [Oslo], Institute of Hygiene and Epidemiology, Charles University and General University Hospital-First Faculty of Medicine, Life & Brain Center - Department of Genomics, Rheinische Friedrich-Wilhelms-Universität Bonn, unité de recherche de l'institut du thorax UMR1087 UMR6291 (ITX), Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), University of Oslo (UiO), Familial Gastrointestinal Cancer Registry, Mount Sinai Hospital [Toronto, Canada] (MSH), Centre for Epidemiology and Biostatistics, Faculty of Medicine and Health Leeds, University of Leeds, Department of Optics [Univ Palacký], Faculty of Science [Univ Palacký], Palacky University Olomouc-Palacky University Olomouc, Vall d'Hebron University Hospital [Barcelona], Rheumatology Unit, University of Bergen (UiB), Service de psychiatrie, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Hôpital Albert Chenevier, Masaryk Memorial Cancer Institute (RECAMO), Department of Psychiatry, University Medical Center [Utrecht]-Brain Center Rudolf Magnus, Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Program in Genetics and Genomic Biology, Hospital for Sick Children-University of Toronto McLaughlin Centre, Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System-School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU), Department of Human Genetics [Montréal], McGill University = Université McGill [Montréal, Canada], Institute of Medical Informatics, Biometry, and Epidemiology, Ludwig-Maximilians-Universität München (LMU)-Chair of Epidemiology, Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM), The Institute of Psychiatry-King‘s College London, Cardiff University-Medical Research Council, and Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)

Subjects
Adult, Male, Multifactorial Inheritance, Adolescent, behavioral disciplines and activities, Article, Feeding and Eating Disorders, Young Adult, [SCCO]Cognitive science, Polygenic risk score, Risk Factors, mental disorders, Humans, ADHD, Genetic epidemiology, Registries, Child, Sweden, [SDV.GEN]Life Sciences [q-bio]/Genetics, Eating disorder, Anorexia nervosa, Bulimia nervosa, Eating disorders, Attention Deficit Disorder with Hyperactivity, [SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, Female, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
Abstract

International audience; BACKGROUND:Although attention-deficit/hyperactivity disorder (ADHD) and eating disorders (EDs) frequently co-occur, little is known about the shared etiology. In this study, we comprehensively investigated the genetic association between ADHD and various EDs, including anorexia nervosa (AN) and other EDs such as bulimia nervosa.METHODS:We applied different genetically informative designs to register-based information of a Swedish nationwide population (N = 3,550,118). We first examined the familial coaggregation of clinically diagnosed ADHD and EDs across multiple types of relatives. We then applied quantitative genetic modeling in full-sisters and maternal half-sisters to estimate the genetic correlations between ADHD and EDs. We further tested the associations between ADHD polygenic risk scores and ED symptoms, and between AN polygenic risk scores and ADHD symptoms, in a genotyped population-based sample (N = 13,472).RESULTS:Increased risk of all types of EDs was found in individuals with ADHD (any ED: odds ratio [OR] = 3.97, 95% confidence interval [CI] = 3.81, 4.14; AN: OR = 2.68, 95% CI = 2.15, 2.86; other EDs: OR = 4.66, 95% CI = 4.47, 4.87; bulimia nervosa: OR = 5.01, 95% CI = 4.63, 5.41) and their relatives compared with individuals without ADHD and their relatives. The magnitude of the associations decreased as the degree of relatedness decreased, suggesting shared familial liability between ADHD and EDs. Quantitative genetic models revealed stronger genetic correlation of ADHD with other EDs (.37, 95% CI = .31, .42) than with AN (.14, 95% CI = .05, .22). ADHD polygenic risk scores correlated positively with ED symptom measures overall and with the subscales Drive for Thinness and Body Dissatisfaction despite small effect sizes.CONCLUSIONS:We observed stronger genetic association with ADHD for non-AN EDs than for AN, highlighting specific genetic correlation beyond a general genetic factor across psychiatric disorders.

Published
2019

26. Correction: Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia

Author

Simone Ciufolini, Anja Vaskinn, Nhat Trung Doan, John B.J. Kwok, Derrek P. Hibar, Carlos Prieto, Elena Shumskaya, Jarek Rokicki, Omar Gustafsson, Sanjay M. Sisodiya, Gianpiero L. Cavalleri, Andreas Heinz, Asta Håberg, Lianne Schmaal, David Ames, Benedicto Crespo-Facorro, Robin M. Murray, Evangelos Vassos, Anne Uhlmann, Aiden Corvin, Nynke A. Groenewold, Astri J. Lundervold, Christopher D. Whelan, Ingrid Agartz, Céline S. Reinbold, Juan M. Peralta, Allan F. McRae, Hilleke E Hulshoff, Jean Shin, Alexander Teumer, Nicholas G. Martin, Geneviève Richard, Jan Egil Nordvik, Sébastien Jacquemont, Gunter Schumann, Emma Knowles, Ida E Sønderby, Alexandre Reymond, Barbara Franke, Simon E. Fisher, Erin Burke Quinlan, Andrew J. Schork, Borja Rodriguez-Herreros, Hreinn Stefansson, Stefan Ehrlich, Anouk den Braber, David C. Glahn, Jayne Y. Hehir-Kwa, Nicholas B. Blackburn, Jan Haavik, Per Hoffmann, Dennis van der Meer, G. Bragi Walters, Dan J. Stein, Costin Leu, Dorret I. Boomsma, Tobias Kaufmann, Vince D. Calhoun, Robin Bülow, Yunpeng Wang, Sonja M C de Zwarte, Sven Cichon, Samuel R. Mathias, Daniel Quintana, Tiago Reis Marques, Vidar M. Steen, Dennis van 't Ent, Torill Ueland, Hans-Richard Brattbak, Hidenaga Yamamori, Katrin Amunts, Katharina Wittfeld, Thomas Gareau, Arvid Lundervold, Margie Wright, Anbu Thalamuthu, Stefan Johansson, Vincent Frouin, Anders M. Dale, Brenda W.J.H. Penninx, Derek W. Morris, Rachel M. Brouwer, Norman Delanty, John Blangero, Roberto Roiz-Santiañez, Anne-Marthe Sanders, Sigrid Botne Sando, Magnus O. Ulfarsson, Perminder S. Sachdev, Laurena Holleran, Thomas W. Mühleisen, Jouke-Jan Hottenga, Paola Dazzan, Kari Stefansson, Roel A. Ophoff, Peter R. Schofield, Manon Bernard, Gudrun A. Jonsdottir, Wei Wen, Joanne E. Curran, Bogdan Draganski, Karen A. Mather, Ryota Hashimoto, René S. Kahn, Yuri Milaneschi, Mark McCormack, Masataka Kikuchi, Hans J. Grabe, Zdenka Pausova, Sinead Kelly, Stephanie Le Hellard, Shareefa Dalvie, Nicola J. Armstrong, Stacy Steinberg, Christiane Jockwitz, Thomas Espeseth, Janita Bralten, Katie L. McMahon, Srdjan Djurovic, David Mothersill, Lachlan T. Strike, Knut K. Kolskår, Chi-Hua Chen, Jessica A. Turner, Manon H.J. Hillegers, Paul M. Thompson, Eco J. C. de Geus, Henry Brodaty, Gary Donohoe, Greig I. de Zubicaray, Jingyu Liu, Sara Pudas, Bruce Pike, Terry L. Jernigan, Masaki Fukunaga, Clara Moreau, Abdel Abdellaoui, Erik G. Jönsson, Svenja Caspers, Sylvane Desrivières, Ole A. Andreassen, Masashi Ikeda, Sandra Martin-Brevet, Michael Andersson, Neda Jahanshad, Diana Tordesillas-Gutiérrez, Lars T. Westlye, Loes M. Olde Loohuis, Tetyana Zayats, Neeltje E.M. van Haren, Lars Nyberg, James Rucker, and Tomáš Paus

Subjects
0301 basic medicine, Adult, Male, medicine.medical_specialty, DNA Copy Number Variations, Databases, Factual, Autism Spectrum Disorder, Chromosome Disorders, Globus Pallidus, Basal Ganglia, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Intracranial volume, Intellectual Disability, Chromosome Duplication, Image Processing, Computer-Assisted, Medicine, Humans, ddc:610, Copy-number variation, Autistic Disorder, Molecular Biology, business.industry, Published Erratum, Putamen, Correction, Brain, Organ Size, Middle Aged, Magnetic Resonance Imaging, Data set, Psychiatry and Mental health, 030104 developmental biology, Neurodevelopmental Disorders, Schizophrenia, Female, Radiology, Chromosome Deletion, business, 030217 neurology & neurosurgery, Chromosomes, Human, Pair 16
Abstract

Carriers of large recurrent copy number variants (CNVs) have a higher risk of developing neurodevelopmental disorders. The 16p11.2 distal CNV predisposes carriers to e.g., autism spectrum disorder and schizophrenia. We compared subcortical brain volumes of 12 16p11.2 distal deletion and 12 duplication carriers to 6882 non-carriers from the large-scale brain Magnetic Resonance Imaging collaboration, ENIGMA-CNV. After stringent CNV calling procedures, and standardized FreeSurfer image analysis, we found negative dose-response associations with copy number on intracranial volume and on regional caudate, pallidum and putamen volumes (β = -0.71 to -1.37; P 0.0005). In an independent sample, consistent results were obtained, with significant effects in the pallidum (β = -0.95, P = 0.0042). The two data sets combined showed significant negative dose-response for the accumbens, caudate, pallidum, putamen and ICV (P = 0.0032, 8.9 × 10

Published
2020

27. Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults

Author

Hofer, Edith, Roshchupkin, Gennady V, Bernard, Manon, Grasby, Katrina L, Jahanshad, Neda, Painter, Jodie N, Colodro-Conde, Lucía, Bralten, Janita, Hibar, Derrek P, Lind, Penelope A, Pizzagalli, Fabrizio, Ching, Christopher R K, McMahon, Mary Agnes B, Bis, Joshua C, Shatokhina, Natalia, Zsembik, Leo C P, Agartz, Ingrid, Alhusaini, Saud, Almeida, Marcio A A, Alnæs, Dag, Amlien, Inge K, Andersson, Micael, Ard, Tyler, Armstrong, Nicola J, Gillespie, Nathan A, Ashley-Koch, Allison, Brouwer, Rachel M, Buimer, Elizabeth E L, Bülow, Robin, Bürger, Christian, Cannon, Dara M, Chakravarty, Mallar, Chen, Qiang, Cheung, Joshua W, Luciano, Michelle, Couvy-Duchesne, Baptiste, Dale, Anders M, Dalvie, Shareefa, de Araujo, Tânia K, de Zubicaray, Greig I, de Zwarte, Sonja M C, den Braber, Anouk, Doan, Nhat Trung, Dohm, Katharina, Ehrlich, Stefan, Mishra, Aniket, Engelbrecht, Hannah-Ruth, Erk, Susanne, Fan, Chun Chieh, Fedko, Iryna O, Foley, Sonya F, Ford, Judith M, Fukunaga, Masaki, Garrett, Melanie E, Ge, Tian, Giddaluru, Sudheer, Scholz, Markus, Goldman, Aaron L, Groenewold, Nynke A, Grotegerd, Dominik, Gurholt, Tiril P, Gutman, Boris A, Hansell, Narelle K, Harris, Mathew A, Harrison, Marc B, Haswell, Courtney C, Hauser, Michael, Teumer, Alexander, Herms, Stefan, Heslenfeld, Dirk J, Ho, New Fei, Hoehn, David, Hoffmann, Per, Holleran, Laurena, Hoogman, Martine, Hottenga, Jouke-Jan, Ikeda, Masashi, Janowitz, Deborah, Xia, Rui, Jansen, Iris E, Jia, Tianye, Jockwitz, Christiane, Kanai, Ryota, Karama, Sherif, Kasperaviciute, Dalia, Kaufmann, Tobias, Kelly, Sinead, Kikuchi, Masataka, Klein, Marieke, Jian, Xueqiu, Knapp, Michael, Knodt, Annchen R, Krämer, Bernd, Lam, Max, Lancaster, Thomas M, Lee, Phil H, Lett, Tristram A, Lewis, Lindsay B, Lopes-Cendes, Iscia, Mosley, Thomas H, Macciardi, Fabio, Marquand, Andre F, Mathias, Samuel R, Melzer, Tracy R, Milaneschi, Yuri, Mirza-Schreiber, Nazanin, Moreira, Jose C V, Mühleisen, Thomas W, Müller-Myhsok, Bertram, Najt, Pablo, Adams, Hieab H H, Saba, Yasaman, Nakahara, Soichiro, Nho, Kwangsik, Olde Loohuis, Loes M, Orfanos, Dimitri Papadopoulos, Pearson, John F, Pitcher, Toni L, Pütz, Benno, Ragothaman, Anjanibhargavi, Rashid, Faisal M, Redlich, Ronny, Pirpamer, Lukas, Reinbold, Céline S, Repple, Jonathan, Richard, Geneviève, Riedel, Brandalyn C, Risacher, Shannon L, Rocha, Cristiane S, Mota, Nina Roth, Salminen, Lauren, Saremi, Arvin, Saykin, Andrew J, Seiler, Stephan, Schlag, Fenja, Schmaal, Lianne, Schofield, Peter R, Secolin, Rodrigo, Shapland, Chin Yang, Shen, Li, Shin, Jean, Shumskaya, Elena, Sønderby, Ida E, Sprooten, Emma, Becker, James T, Strike, Lachlan T, Tansey, Katherine E, Thalamuthu, Anbupalam, Thomopoulos, Sophia I, Tordesillas-Gutiérrez, Diana, Turner, Jessica A, Uhlmann, Anne, Vallerga, Costanza Ludovica, van der Meer, Dennis, Carmichael, Owen, van Donkelaar, Marjolein M J, van Eijk, Liza, van Erp, Theo G M, van Haren, Neeltje E M, van Rooij, Daan, van Tol, Marie-José, Veldink, Jan H, Verhoef, Ellen, Walton, Esther, Wang, Mingyuan, Rotter, Jerome I, Wang, Yunpeng, Wardlaw, Joanna M, Wen, Wei, Westlye, Lars T, Whelan, Christopher D, Witt, Stephanie H, Wittfeld, Katharina, Wolf, Christiane, Wolfers, Thomas, Yasuda, Clarissa L, Psaty, Bruce M, Zaremba, Dario, Zhang, Zuo, Zhu, Alyssa H, Zwiers, Marcel P, Artiges, Eric, Assareh, Amelia A, Ayesa-Arriola, Rosa, Belger, Aysenil, Brandt, Christine L, Brown, Gregory G, Lopez, Oscar L, Cichon, Sven, Curran, Joanne E, Davies, Gareth E, Degenhardt, Franziska, Dietsche, Bruno, Djurovic, Srdjan, Doherty, Colin P, Espiritu, Ryan, Garijo, Daniel, Gil, Yolanda, Amin, Najaf, Gowland, Penny A, Green, Robert C, Häusler, Alexander N, Heindel, Walter, Ho, Beng-Choon, Hoffmann, Wolfgang U, Holsboer, Florian, Homuth, Georg, Hosten, Norbert, Jack, Clifford R, van der Lee, Sven J, Jang, MiHyun, Jansen, Andreas, Kolskår, Knut, Koops, Sanne, Krug, Axel, Lim, Kelvin O, Luykx, Jurjen J, Mathalon, Daniel H, Mather, Karen A, Mattay, Venkata S, Knol, Maria J, Yang, Qiong, Matthews, Sarah, Son, Jaqueline Mayoral Van, McEwen, Sarah C, Melle, Ingrid, Morris, Derek W, Mueller, Bryon A, Nauck, Matthias, Nordvik, Jan E, Nöthen, Markus M, O'Leary, Daniel S, Himali, Jayandra J, Opel, Nils, Martinot, Marie -Laure Paillère, Pike, G Bruce, Preda, Adrian, Quinlan, Erin B, Ratnakar, Varun, Reppermund, Simone, Steen, Vidar M, Torres, Fábio R, Veltman, Dick J, Maillard, Pauline, Voyvodic, James T, Whelan, Robert, White, Tonya, Yamamori, Hidenaga, Alvim, Marina K M, Ames, David, Anderson, Tim J, Andreassen, Ole A, Arias-Vasquez, Alejandro, Bastin, Mark E, Beiser, Alexa S, Baune, Bernhard T, Blangero, John, Boomsma, Dorret I, Brodaty, Henry, Brunner, Han G, Buckner, Randy L, Buitelaar, Jan K, Bustillo, Juan R, Cahn, Wiepke, Calhoun, Vince, DeCarli, Charles, Caseras, Xavier, Caspers, Svenja, Cavalleri, Gianpiero L, Cendes, Fernando, Corvin, Aiden, Crespo-Facorro, Benedicto, Dalrymple-Alford, John C, Dannlowski, Udo, de Geus, Eco J C, Deary, Ian J, Delanty, Norman, Depondt, Chantal, Desrivières, Sylvane, Donohoe, Gary, Espeseth, Thomas, Fernández, Guillén, Fisher, Simon E, Flor, Herta, Forstner, Andreas J, Francks, Clyde, Lewis, Lindsay, Franke, Barbara, Glahn, David C, Gollub, Randy L, Grabe, Hans J, Gruber, Oliver, Håberg, Asta K, Hariri, Ahmad R, Hartman, Catharina A, Hashimoto, Ryota, Heinz, Andreas, Harris, Mat, Hillegers, Manon H J, Hoekstra, Pieter J, Holmes, Avram J, Hong, L Elliot, Hopkins, William D, Hulshoff Pol, Hilleke E, Jernigan, Terry L, Jönsson, Erik G, Kahn, René S, Kennedy, Martin A, Kircher, Tilo T J, Kochunov, Peter, Kwok, John B J, Hellard, Stephanie Le, Martin, Nicholas G, Martinot, Jean -Luc, McDonald, Colm, McMahon, Katie L, Meyer-Lindenberg, Andreas, Morey, Rajendra A, Nyberg, Lars, Oosterlaan, Jaap, Ophoff, Roel A, Paus, Tomáš, Pausova, Zdenka, Penninx, Brenda W J H, Polderman, Tinca J C, Posthuma, Danielle, Rietschel, Marcella, Roffman, Joshua L, Lin, Honghuang, Veronica Witte, A., Rowland, Laura M, Sachdev, Perminder S, Sämann, Philipp G, Schumann, Gunter, Sim, Kang, Sisodiya, Sanjay M, Smoller, Jordan W, Sommer, Iris E, Pourcain, Beate St, Stein, Dan J, Beyer, Frauke, Toga, Arthur W, Trollor, Julian N, Van der Wee, Nic J A, van 't Ent, Dennis, Völzke, Henry, Walter, Henrik, Weber, Bernd, Weinberger, Daniel R, Wright, Margaret J, Zhou, Juan, Loeffler, Markus, Stein, Jason L, Thompson, Paul M, Medland, Sarah E, Kwok, John B, Trollor, Julian, Li, Shuo, Jiang, Jiyang, Vernooij, Meike W, Hofman, Albert, Uitterlinden, André G, Niessen, Wiro J, Völker, Uwe, Zare, Habil, Bruce Pike, G., Maingault, Sophie, Crivello, Fabrice, Tzourio, Christophe, Amouyel, Philippe, Mazoyer, Bernard, Neale, Michael C, Franz, Carol E, Lyons, Michael J, Ahmad, Shahzad, Panizzon, Matthew S, Logue, Mark, consortium, ENIGMA, Kremen, William S, Villringer, Arno, Satizabal, Claudia L, van Duijn, Cornelia M, Grabe, Hans, Longstreth, William T, Fornage, Myriam, Paus, Tomas, Debette, Stephanie, Ikram, M Arfan, Schmidt, Helena, Schmidt, Reinhold, Seshadri, Sudha, University of Graz, Medical University Graz, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Boston University School of Medicine (BUSM), Boston University [Boston] (BU), School of Public Health [Boston], University of Texas Health Science Center, The University of Texas Health Science Center at Houston (UTHealth), The University of Texas at San Antonio (UTSA), Murdoch University, The Hospital for sick children [Toronto] (SickKids), University of Washington [Seattle], Virginia Commonwealth University (VCU), QIMR Berghofer Medical Research Institute, University of Edinburgh, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Universität Leipzig [Leipzig], Universität Greifswald - University of Greifswald, University of Mississippi Medical Center (UMMC), University of California [Davis] (UC Davis), University of California, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE), Pennington Biomedical Research Center, Louisiana State University (LSU), Los Angeles Biomedical Research Institute (LA BioMed), McGill University = Université McGill [Montréal, Canada], Max Planck Institute for Human Cognitive and Brain Sciences [Leipzig] (IMPNSC), Max-Planck-Gesellschaft, University of New South Wales [Sydney] (UNSW), Neuroscience Research Australia (NeuRA), The University of Sydney, University of Queensland [Brisbane], The Royal Melbourne Hospital, University of Melbourne, Harvard T.H. Chan School of Public Health, Delft University of Technology (TU Delft), German Research Center for Neurodegenerative Diseases - Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), University of Toronto, University of Calgary, Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), CHU Bordeaux [Bordeaux], Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 (RID-AGE), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Réseau International des Instituts Pasteur (RIIP), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), University of California [San Diego] (UC San Diego), University of Oslo (UiO), Oslo University Hospital [Oslo], VA Boston Healthcare System, University of Southern California (USC), Radboud University Medical Center [Nijmegen], Radboud university [Nijmegen], Janssen Research & Development, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), Prince of Wales Hospital, University Hospital Leipzig, University of Oxford [Oxford], Holland Bloorview Kids Rehabilitation Hospital [Toronto, ON, Canada], Epidemiology, Medical Informatics, Radiology & Nuclear Medicine, Neurology, Complex Trait Genetics, Biological Psychology, Cognitive Psychology, IBBA, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, APH - Mental Health, APH - Methodology, Clinical Neuropsychology, Clinical Developmental Psychology, Amsterdam Neuroscience - Complex Trait Genetics, Movement Disorder (MD), Clinical Cognitive Neuropsychiatry Research Program (CCNP), General Paediatrics, ARD - Amsterdam Reproduction and Development, Karl-Franzens-Universität Graz, Universität Leipzig, University of California (UC), Radboud University [Nijmegen], University of Oxford, Psychiatry, Anatomy and neurosciences, Pediatric surgery, Human genetics, APH - Digital Health, and Karl-Franzens-Universität [Graz, Autriche]

Subjects
0301 basic medicine, Male, Genetics of the nervous system, Aging, General Physics and Astronomy, Genome-wide association study, Disease, VARIANTS, genetics [Mental Disorders], Genome-wide association studies, 0302 clinical medicine, Cognition, PARKINSONS-DISEASE, SCHIZOPHRENIA, 80 and over, 2.1 Biological and endogenous factors, Aetiology, lcsh:Science, Aged, 80 and over, education.field_of_study, Multidisciplinary, ENIGMA consortium, Mental Disorders, Brain, Neurodegenerative Diseases, Genomics, Single Nucleotide, Middle Aged, Biobank, ALZHEIMERS-DISEASE, Phenotype, VINTAGE, Neurology, Chromosome Structures, Schizophrenia, genetics [Aging], Neurological, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Female, ddc:500, Biotechnology, Adult, Science, geentics of the nervous system, 1.1 Normal biological development and functioning, Population, SURFACE-AREA, ORGANIZATION, Biology, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Underpinning research, THICKNESS, medicine, Genetics, Humans, Polymorphism, education, HEALTHY, METAANALYSIS, Aged, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], [SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE], Genetic heterogeneity, neurology, Human Genome, Neurosciences, General Chemistry, Heritability, medicine.disease, Brain Disorders, INDIVIDUALS, 030104 developmental biology, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, Evolutionary biology, genetics [Neurodegenerative Diseases], VOLUME, genome-wide association studies, lcsh:Q, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Cortical thickness, surface area and volumes vary with age and cognitive function, and in neurological and psychiatric diseases. Here we report heritability, genetic correlations and genome-wide associations of these cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprises 22,824 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank. We identify genetic heterogeneity between cortical measures and brain regions, and 160 genome-wide significant associations pointing to wnt/β-catenin, TGF-β and sonic hedgehog pathways. There is enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging., Cortex morphology varies with age, cognitive function, and in neurological and psychiatric diseases. Here the authors report 160 genome-wide significant associations with thickness, surface area and volume of the total cortex and 34 cortical regions from a GWAS meta-analysis in 22,824 adults.

Published
2020

28. Multiple object tracking and pupillometry reveal deficits in both selective and intensive attention in unilateral spatial neglect

Author

Frank Becker, Bruno Laeng, Thomas Espeseth, Kjersti Mæhlum Walle, and Jan Egil Nordvik

Subjects
Adult, Male, medicine.medical_specialty, media_common.quotation_subject, Audiology, Functional Laterality, 050105 experimental psychology, Neglect, Arousal, Task (project management), Perceptual Disorders, 03 medical and health sciences, Cognition, 0302 clinical medicine, medicine, Humans, Attention, Cognitive Dysfunction, 0501 psychology and cognitive sciences, Cognitive skill, Aged, media_common, Visual search, 05 social sciences, Middle Aged, Stroke, Clinical Psychology, Neurology, Space Perception, Video tracking, Female, Neurology (clinical), Psychology, 030217 neurology & neurosurgery, Cognitive load, Pupillometry
Abstract

Introduction Unilateral spatial neglect is typically associated with a spatial attention deficit, as neglect patients fail to respond to objects in their contralesional hemispace. However, growing evidence suggests that also nonspatial attention impairments (e.g., arousal) play a role and influences the recovery from this syndrome. Method Nonspatial and spatial attentional functions were assessed in 13 right-hemisphere stroke patients with neglect, 13 right-hemisphere stroke patients without neglect, and 26 healthy control participants, by investigating pupillary responses and performance on a multiple object tracking task (MOT)-that is, a dynamic task of divided attention where cognitive load can be manipulated precisely. The task was alternately presented in the left and right hemispace to assess spatial attention functioning. Results Results revealed smaller pupillary dilations in both patient groups than in controls, suggesting reduced attentional resources or arousal, and while patients without neglect and controls revealed significant effects of cognitive load on their pupillary responses, neglect patients did not. Both MOT and visual search (VS) tasks revealed spatial symptoms of neglect, while MOT performance measures additionally indicated reduced cognitive functioning in the ipsilateral hemispace. Moreover, the MOT task revealed severely reduced divided attention in neglect patients, as they only managed to track one target in the contralesional hemispace and occasionally two targets at the time in the ipsilesional hemispace. Conclusion Our results suggest that a stroke may lead to reduced attentional resources. Furthermore, as neglect patients showed no indications in their pupillary responses that they were able to regulate the allocation of resources in accordance with the varying task demands, it appears they additionally had impaired mechanisms for adjusting arousal levels. Our findings suggest that neglect involves nonspatial as well as spatial attention impairments, as also ipsilesional performance was reduced in this group.

Published
2018

29. A Replication-Defective Human Cytomegalovirus Vaccine Elicits Humoral Immune Responses Analogous to Those with Natural Infection

Author

Karen Beck, Leike Li, Zhiqiang An, Ningyan Zhang, Hua Zhu, Xiaohua Ye, Tong-Ming Fu, Rituparna Das, Yaping Liu, Amy S. Espeseth, Michael A. McVoy, Kalpit A. Vora, Dai Wang, Aimin Tang, Luwy Musey, Daniel C. Freed, Edward M. Murray, Stuart P. Adler, Timothy D. Culp, Diane F. Barrett, Liping Song, Fengsheng Li, and Richard E. Rupp

Subjects
Adult, Male, Human cytomegalovirus, viruses, Immunology, Cytomegalovirus, Priming (immunology), Biology, Antibodies, Viral, Virus Replication, Microbiology, Neutralization, Cell Line, Cytomegalovirus Vaccines, Young Adult, 03 medical and health sciences, Immune system, Double-Blind Method, Virology, Vaccines and Antiviral Agents, medicine, Humans, Antigens, Viral, Aged, 030304 developmental biology, Immunity, Cellular, 0303 health sciences, Pregnancy, 030306 microbiology, Vaccination, Middle Aged, biochemical phenomena, metabolism, and nutrition, medicine.disease, Antibodies, Neutralizing, Infectious Disease Transmission, Vertical, United States, Immunity, Humoral, Insect Science, Cytomegalovirus Infections, Humoral immunity, biology.protein, Female, Immunization, Antibody
Abstract

Human cytomegalovirus (HCMV) can cause congenital infections, which are a leading cause of childhood disabilities. Since the rate of maternal-fetal transmission is much lower in naturally infected (HCMV-seropositive) women, we hypothesize that a vaccine candidate capable of eliciting immune responses analogous to those of HCMV-seropositive subjects may confer protection against congenital HCMV. We have previously described a replication-defective virus vaccine based on strain AD169 (D. Wang, D. C. Freed, X. He, F. Li, et al., Sci Transl Med 8:362ra145, 2016, https://doi.org/10.1126/scitranslmed.aaf9387). The vaccine, named V160, has been shown to be safe and immunogenic in HCMV-seronegative human subjects, eliciting both humoral and cellular immune responses (S. P. Adler, S. E. Starr, S. A. Plotkin, S. H. Hempfling, et al., J Infect Dis 220:411–419, 2019, https://doi.org/10.1093/infdis/171.1.26). Here, we further showed that sera from V160-immunized HCMV-seronegative subjects have attributes similar in quality to those from seropositive subjects, including high-avidity antibodies to viral antigens, coverage against a panel of genetically distinct clinical isolates, and protection against viral infection in diverse types of human cells in culture. More importantly, vaccination appeared efficient in priming the human immune system, inducing memory B cells in six V160 recipients at frequencies comparable to those of three HCMV-seropositive subjects. Our results demonstrate the ability of V160 to induce robust and durable humoral memory responses to HCMV, justifying further clinical evaluation of the vaccine against congenital HCMV. IMPORTANCE In utero HCMV infection can lead to miscarriage or childhood disabilities, and an effective vaccine is urgently needed. Since children born to women who are seropositive prior to pregnancy are less likely to be affected by congenital HCMV infection, it has been hypothesized that a vaccine capable of inducing an immune response resembling the responses in HCMV-seropositive women may be effective. We previously described a replication-defective virus vaccine that has been demonstrated safe and immunogenic in HCMV-seronegative subjects. Here, we conducted additional analyses to show that the vaccine can induce antibodies with functional attributes similar to those from HCMV-seropositive subjects. Importantly, vaccination can induce long-lived memory B cells at frequencies comparable to those seen in HCMV-seropositive subjects. We conclude that this vaccine is a promising candidate that warrants further clinical evaluation for prevention of congenital HCMV.

Published
2019

30. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence

Author

Dan Rujescu, Vidar M. Steen, Eva Krapohl, Aarno Palotie, Elisabeth Widen, Ingrid Melle, Patrick Sullivan, Katrina L. Grasby, Stephan Ripke, Anke R. Hammerschlag, Christiaan de Leeuw, Panos Bitsios, Nikos C. Stefanis, Tonya White, Gail Davies, Ahmad R. Hariri, Philip R. Jansen, Peter B. Barr, John M. Starr, Max Lam, Ian J. Deary, Sara Hägg, Dimitrios Avramopoulos, Bettina Konte, Anil K. Malhotra, Delilah Zabaneh, Kjetil Sundet, Tinca J. C. Polderman, Ornit Chiba-Falek, Jakob Kaminski, Danielle M. Dick, Andrea Christoforou, Jin Yu, Gunter Schumann, Matthew A. Scult, Anna C. Need, Jens Hjerling-Leffler, Gonçalo R. Abecasis, Kenneth S. Kendler, Todd Lencz, Dwight Dickinson, Bradley T. Webb, Elizabeth T. Cirulli, Stephanie Le Hellard, Gerome Breen, Astri J. Lundervold, Hannah Young, Erin Burke Quinlan, William Ollier, Nikolaos Smyrnis, Emily Drabant Conley, Danielle Posthuma, Sten Linnarsson, Aristotle N. Voineskos, Edythe D. London, Pamela DeRosse, Russell A. Poldrack, Jonathan R. I. Coleman, Jeanne E. Savage, Sarah E. Medland, Ana B. Muñoz-Manchado, Richard E. Straub, Robert Plomin, Ida K. Karlsson, Nathan G. Skene, Dan E. Arking, Birgit Debrabant, Joey W. Trampush, Matthew C. Keller, Mats Nagel, Gary Donohoe, Chandra A. Reynolds, Panos Roussos, Lene Christiansen, Ivar Reinvang, Ole A. Andreassen, Antony Payton, Robert Karlsson, Margaret J. Wright, Deborah C. Koltai, Jari Lahti, Andreas Heinz, Tyrone D. Cannon, Eliza Congdon, Olav B. Smeland, Stella G. Giakoumaki, Marianne Nygaard, Julien Bryois, M. Arfan Ikram, Nancy L. Pedersen, Katri Räikkönen, Daniel R. Weinberger, Neil Pendleton, Swapnil Awasthi, Sven Stringer, Nelson A. Freimer, Aiden Corvin, Kyoko Watanabe, David C. Glahn, Henning Tiemeier, Grant W. Montgomery, Narelle K. Hansell, Robert M. Bilder, Katherine E. Burdick, Srdjan Djurovic, David C. Liewald, Sophie van der Sluis, Thomas Espeseth, Scott I. Vrieze, Fred W. Sabb, Nicholas G. Martin, Michael Gill, Emma Knowles, Derek W. Morris, Alex Hatzimanolis, Ina Giegling, Johan G. Eriksson, Child and Adolescent Psychiatry / Psychology, Epidemiology, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Biological Psychology, Functional Genomics, Research Programs Unit, Diabetes and Obesity Research Program, Department of General Practice and Primary Health Care, Johan Eriksson / Principal Investigator, Clinicum, University of Helsinki, Medicum, Helsinki Collegium for Advanced Studies, Department of Psychology and Logopedics, Centre of Excellence in Complex Disease Genetics, Aarno Palotie / Principal Investigator, Institute for Molecular Medicine Finland, Elisabeth Ingrid Maria Widen / Principal Investigator, Developmental Psychology Research Group, Genomics of Neurological and Neuropsychiatric Disorders, Genomic Discoveries and Clinical Translation, Human genetics, Amsterdam Neuroscience - Cellular & Molecular Mechanisms, VU University medical center, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, and Amsterdam Reproduction & Development (AR&D)

Subjects
0301 basic medicine, Nonsynonymous substitution, Male, GENERAL COGNITIVE FUNCTION, Intelligence, LOCI, Genome-wide association study, ANNOTATION, 0302 clinical medicine, GWAS, 11 Medical and Health Sciences, Genetics & Heredity, RISK, HERITABILITY, Brain, Mendelian Randomization Analysis, Middle Aged, 3. Good health, Schizophrenia, Genome-Wide Association Study/methods, Female, Life Sciences & Biomedicine, TRAITS, Adolescent, Quantitative Trait Loci, Computational biology, Biology, Quantitative trait locus, Brain/physiology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Genetics, medicine, Humans, Genetic Predisposition to Disease, Gene, Genetic association, EDUCATIONAL-ATTAINMENT, Science & Technology, TEST BATTERIES, CONSORTIUM, Intelligence/genetics, 06 Biological Sciences, medicine.disease, 030104 developmental biology, Expression quantitative trait loci, 3111 Biomedicine, 030217 neurology & neurosurgery, Developmental Biology, Genome-Wide Association Study
Abstract

Intelligence is highly heritable 1 and a major determinant of human health and well-being 2 . Recent genome-wide meta-analyses have identified 24 genomic loci linked to variation in intelligence 3-7 , but much about its genetic underpinnings remains to be discovered. Here, we present a large-scale genetic association study of intelligence (n = 269,867), identifying 205 associated genomic loci (190 new) and 1,016 genes (939 new) via positional mapping, expression quantitative trait locus (eQTL) mapping, chromatin interaction mapping, and gene-based association analysis. We find enrichment of genetic effects in conserved and coding regions and associations with 146 nonsynonymous exonic variants. Associated genes are strongly expressed in the brain, specifically in striatal medium spiny neurons and hippocampal pyramidal neurons. Gene set analyses implicate pathways related to nervous system development and synaptic structure. We confirm previous strong genetic correlations with multiple health-related outcomes, and Mendelian randomization analysis results suggest protective effects of intelligence for Alzheimer's disease and ADHD and bidirectional causation with pleiotropic effects for schizophrenia. These results are a major step forward in understanding the neurobiology of cognitive function as well as genetically related neurological and psychiatric disorders.

Published
2018

31. Forward and reverse translational approaches to predict efficacy of neutralizing respiratory syncytial virus (RSV) antibody prophylaxis

Author

Francesco Bellanti, Antonios O. Aliprantis, Juin Fok-Seang, Wen Liu, Jeffrey R. Sachs, Radha Railkar, Brad Roadcap, Kalpit A. Vora, Qinlei Huang, Li Qin, Nele Plock, W. Gao, Eseng Lai, Daniel S. Spellman, Jingxian Chen, Andrew P. Catchpole, Emilie Schindler, Mariya Kalinova, Amy S. Espeseth, Jie Meng, S. Y. Amy Cheung, Luzelena Caro, S. Aubrey Stoch, Benjamin Guiastrennec, Jos Lommerse, Brian M. Maas, Ying Zhang, and Han Witjes

Subjects
Adult, Male, Medicine (General), Research paper, Adolescent, medicine.drug_class, Premedication, Monoclonal Antibody, Force of infection, Respiratory Syncytial Virus Infections, Antibodies, Viral, Monoclonal antibody, medicine.disease_cause, Placebo, General Biochemistry, Genetics and Molecular Biology, Virus, Translational Research, Biomedical, Young Adult, R5-920, Modelling and Simulation, Clinical endpoint, Humans, Medicine, Aged, RSV, Meta-analysis, Clinical Trials as Topic, biology, business.industry, Incidence, Antibodies, Monoclonal, Human Challenge Study, General Medicine, Middle Aged, Models, Theoretical, Antibodies, Neutralizing, Clinical trial, Respiratory syncytial virus (RSV), Respiratory Syncytial Virus, Human, Immunology, biology.protein, Female, Seasons, Respiratory Syncytial Virus, Antibody, business, Algorithms
Abstract

Background Neutralizing mAbs can prevent communicable viral diseases. MK-1654 is a respiratory syncytial virus (RSV) F glycoprotein neutralizing monoclonal antibody (mAb) under development to prevent RSV infection in infants. Development and validation of methods to predict efficacious doses of neutralizing antibodies across patient populations exposed to a time-varying force of infection (i.e., seasonal variation) are necessary. Methods Five decades of clinical trial literature were leveraged to build a model-based meta-analysis (MBMA) describing the relationship between RSV serum neutralizing activity (SNA) and clinical endpoints. The MBMA was validated by backward translation to animal challenge experiments and forward translation to predict results of a recent RSV mAb trial. MBMA predictions were evaluated against a human trial of 70 participants who received either placebo or one of four dose-levels of MK-1654 and were challenged with RSV [NCT04086472]. The MBMA was used to perform clinical trial simulations and predict efficacy of MK-1654 in the infant target population. Findings The MBMA established a quantitative relationship between RSV SNA and clinical endpoints. This relationship was quantitatively consistent with animal model challenge experiments and results of a recently published clinical trial. Additionally, SNA elicited by increasing doses of MK-1654 in humans reduced RSV symptomatic infection rates with a quantitative relationship that approximated the MBMA. The MBMA indicated a high probability that a single dose of ≥ 75 mg of MK-1654 will result in prophylactic efficacy (> 75% for 5 months) in infants. Interpretation An MBMA approach can predict efficacy of neutralizing antibodies against RSV and potentially other respiratory pathogens.

Published
2021

32. Common brain disorders are associated with heritable patterns of apparent aging of the brain

Author

Kaufmann, T., van der Meer, D., Doan, N. T., Schwarz, E., Lund, M. J., Agartz, I., Alnaes, D., Barch, D. M., Baur-Streubel, R., Bertolino, A., Bettella, F., Beyer, M. K., Boen, E., Borgwardt, S., Brandt, C. L., Buitelaar, J., Celius, E. G., Cervenka, S., Conzelmann, A., Cordova-Palomera, A., Dale, A. M., de Quervain, D. J. F., Carlo, P. D., Djurovic, S., Dorum, E. S., Eisenacher, S., Elvsashagen, T., Espeseth, T., Fatouros-Bergman, H., Flyckt, L., Franke, B., Frei, O., Haatveit, B., Haberg, A. K., Harbo, H. F., Hartman, C. A., Heslenfeld, D., Hoekstra, P. J., Hogestol, E. A., Jernigan, T. L., Jonassen, R., Jonsson, E. G., Farde, L., Engberg, G., Erhardt, S., Schwieler, L., Piehl, F., Collste, K., Victorsson, P., Malmqvist, A., Hedberg, M., Orhan, F., Kirsch, P., Kloszewska, I., Kolskar, K. K., Landro, N. I., Hellard, S. L., Lesch, K. -P., Lovestone, S., Lundervold, A., Lundervold, A. J., Maglanoc, L. A., Malt, U. F., Mecocci, P., Melle, I., Meyer-Lindenberg, A., Moberget, T., Norbom, L. B., Nordvik, J. E., Nyberg, L., Oosterlaan, J., Papalino, M., Papassotiropoulos, A., Pauli, P., Pergola, G., Persson, K., Richard, G., Rokicki, J., Sanders, A. -M., Selbaek, G., Shadrin, A. A., Smeland, O. B., Soininen, H., Sowa, P., Steen, V. M., Tsolaki, M., Ulrichsen, K. M., Vellas, B., Wang, L., Westman, E., Ziegler, G. C., Zink, M., Andreassen, O. A., Westlye, L. T., Le Hellard, S., Di Carlo, P., Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), General Paediatrics, ARD - Amsterdam Reproduction and Development, Pediatric surgery, Psychiatrie & Neuropsychologie, RS: MHeNs - R3 - Neuroscience, and RS: MHeNs - R2 - Mental Health

Subjects
0301 basic medicine, Brain age gap, brain disorders, genetic architecture, pleiotropy, Male, Aging, Schizophrenia/genetics, LOCI, Genome-wide association study, Neuropsychological Tests, 0302 clinical medicine, 80 and over, Brain age gap, Aging/genetics, ALZHEIMERS, Child, Aged, 80 and over, Brain Diseases, Sex Characteristics, General Neuroscience, Mental Disorders, Brain, MULTIPLE-SCLEROSIS, brain disorders, Middle Aged, Magnetic Resonance Imaging, 3. Good health, Schizophrenia, Child, Preschool, Female, Alzheimer's disease, Neurovetenskaper, Algorithms, MRI, Adult, Adolescent, Brain Diseases/diagnostic imaging, Brain Structure and Function, Mental Disorders/diagnostic imaging, Biology, Article, 03 medical and health sciences, Young Adult, AGE, pleiotropy, Genetic architecture, Genetic Pleiotropy, medicine, Humans, Preschool, Brain disorders, Aged, Pleiotropy, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Brain age gaps, Multiple sclerosis, Neurosciences, Infant, medicine.disease, Brain/diagnostic imaging, genetic architecture, 030104 developmental biology, Pleiotropy (drugs), Neuroscience, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Common risk factors for psychiatric and other brain disorders are likely to converge on biological pathways influencing the development and maintenance of brain structure and function across life. Using structural MRI data from 45,615 individuals aged 3–96 years, we demonstrate distinct patterns of apparent brain aging in several brain disorders and reveal genetic pleiotropy between apparent brain aging in healthy individuals and common brain disorders. The author list between I.A. and M.Z. is in alphabetic order. The authors were funded by the Research Council of Norway (276082 LifespanHealth (T.K.), 213837 (O.A.A), 223273 NORMENT (O.A.A.), 204966 (L.T.W.), 229129 (O.A.A.), 249795 (L.T.W.), 273345 (L.T.W.) and 283798 SYNSCHIZ (O.A.A.)), the South-Eastern Norway Regional Health Authority (2013-123 (O.A.A.), 2014-097 (L.T.W.), 2015-073 (L.T.W.) and 2016083 (L.T.W.)), Stiftelsen Kristian Gerhard Jebsen (SKGJ-MED-008), the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (ERC Starting Grant, Grant agreement No. 802998 BRAINMINT (L.T.W.)), NVIDIA Corporation GPU Grant (T.K.), and the European Commission 7th Framework Programme (602450, IMAGEMEND (A.M.-L.)).

Published
2019

33. Correction to: Task context load induces reactive cognitive control: An fMRI study on cortical and brain stem activity

Author

Thomas Hagen, Verónica Mäki-Marttunen, and Thomas Espeseth

Subjects
Adult, Male, Cognitive Neuroscience, MEDLINE, Prefrontal Cortex, Context (language use), Neuropsychological Tests, Task (project management), Behavioral Neuroscience, Executive Function, Young Adult, Humans, Control (linguistics), Aged, Aged, 80 and over, Correction, Cognition, Middle Aged, Magnetic Resonance Imaging, Memory, Short-Term, Female, Nerve Net, Psychology, Psychomotor Performance, Cognitive psychology, Brain Stem
Abstract

Cognitive control is a highly dynamic process that relies on flexible engagement of prefrontal areas and of neuromodulatory systems in order to adapt to changing demands. A range of internal and external factors come into play when individuals engage in a task requiring cognitive control. Here we investigated whether increased working memory (WM) demands would induce a flexible change in cognitive control mode in young healthy individuals. We developed a novel variant of the well-known AX-continuous performance task (AX-CPT). We manipulated the cognitive demands of maintaining task-relevant contextual information and studied the impact of this manipulation on behavior and brain activity. We expected that low WM load would allow for a more effortful, proactive strategy, while high WM load would induce a strategy of less effortful, stimulus-driven reactive control. In line with our hypothesis, a web-based experiment revealed that increased load was associated with more reactive behavioral responses, and this finding was independently replicated in behavioral data acquired in the MRI scanner. The results from brain activity showed that the right dorsolateral prefrontal cortex was activated by cues in the proactive mode and by probes in the reactive mode. The analysis of task-induced brain stem activity indicated that both the dopaminergic and noradrenergic systems are involved in updating context representations, and that, respectively, these systems mediate a gating signal to the control network and are involved in the dynamic regulation of task engagement.

Published
2019

34. Individual differences in resting-state pupil size: Evidence for association between working memory capacity and pupil size variability

Author

Bruno Laeng, Thomas Espeseth, Samira Aminihajibashi, Thomas Hagen, and Maja Dyhre Foldal

Subjects
Adult, Male, Elementary cognitive task, medicine.medical_specialty, genetic structures, Rest, Audiology, 050105 experimental psychology, Pupil, Arousal, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Physiology (medical), medicine, Humans, 0501 psychology and cognitive sciences, Association (psychology), Resting state fMRI, Working memory, General Neuroscience, 05 social sciences, Pupil size, Memory, Short-Term, Neuropsychology and Physiological Psychology, Female, sense organs, Psychology, Photic Stimulation, 030217 neurology & neurosurgery, Pupillometry
Abstract

Dynamic non-luminance-mediated changes in pupil diameter have frequently been shown to be a reliable index for the level of arousal, mental effort, and activity in the locus coeruleus, the brainstem's noradrenergic arousal center. While pupillometry has most commonly been used to assess the level of arousal in particular psychological states or the level of engagement in cognitive tasks, some recent studies have found a relationship between average resting-state (i.e. baseline) pupil sizes and individuals' working memory capacity (WMC), indicating that individuals with higher WMC on average have larger pupils than individuals with relatively lower WMC. In the present study, we measured pupil size continuously in 212 participants during rest (i.e. while fixating) and estimated WMC in all participants by administering the Letter-Number Sequencing (LNS) task from WAIS-III. We were unable to replicate the relation between average pupil size and WMC. However, the novel finding was that higher WMC was associated with higher variability in resting-state pupil size. The present results are relevant for the current debate on the role of noradrenergic activity on working memory capacity.

Published
2019

35. Diagnosis of hyperkinetic disorder among children in Norway

Author

Pål, Surén, Anne Gjertrud, Thorstensen, Marit, Tørstad, Petter Espeseth, Emhjellen, Kari, Furu, Guido, Biele, Heidi, Aase, Camilla, Stoltenberg, Pål, Zeiner, Inger Johanne, Bakken, and Ted, Reichborn-Kjennerud

Subjects
Male, Age Distribution, Adolescent, Attention Deficit Disorder with Hyperactivity, Norway, Humans, Female, Documentation, Registries, Hyperkinesis, Sex Distribution, Child, Medical Records
Abstract

Hyperkinetic disorder is one of the most frequently used psychiatric diagnoses among children and adolescents in Norway. It has previously been shown that use of the diagnosis varies widely by county.We estimated the proportion of children with hyperkinetic disorder using patient data from the Norwegian Patient Registry and population data from the Norwegian Population Registry. The estimations were made for both Norway as a whole and by county. Assessment and documentation of the diagnosis were surveyed by linking the Norwegian Patient Registry and the Norwegian Mother and Child Cohort Study. We reviewed medical records from specialist mental health services for children and adolescents and assessed whether the diagnoses met the research criteria for hyperkinetic disorder.At 12 years of age, 5.4 % of Norwegian boys and 2.1 % of Norwegian girls had been diagnosed with hyperkinetic disorder by specialist health services. The proportion of children varied between 1.4 % and 5.5 % among the counties. A review of medical records for 549 children showed that 49 % of the diagnoses were reliably documented in the records. The main reasons that the diagnosis was not documented were a discrepancy between the information in the medical record and diagnostic criteria (38 %) and inadequate differential diagnostic assessment (46 %).There was considerable geographic variation in the proportions of children and adolescents with hyperkinetic disorder. A large percentage of the diagnoses were not reliably documented in medical records. The guideline for evaluation, diagnostics and medical recordkeeping should be reviewed.

Published
2018

36. Investigation of common, low-frequency and rare genome-wide variation in anorexia nervosa

Author

Huckins, L. M., Hatzikotoulas, K., Curtis, C., Esko, T., Espeseth, T., Estivill, X., Favaro, A., Fernández-Aranda, F., Fichter, M. M., Finan, C., Fischer, K., Floyd, J. A. B., Foretova, L., Rhodes, D., Forzan, M., Franklin, C. S., Gallinger, S., Gambaro, G., Gaspar, H. A., Giegling, I., Gonidakis, F., Gorwood, P., Gratacos, M., Guillaume, S., Moens, J., Guo, Y., Hakonarson, H., Halmi, K. A., Hauser, J., Hebebrand, J., Helder, S., Herms, S., Herpertz-Dahlmann, B., Herzog, W., Kalsi, G., Hilliard, C. E., Hinney, A., Hübel, C., Hudson, J. I., Huemer, J., Inoko, H., Janout, V., Jiménez-Murcia, S., Johnson, C., Dempster, D., Julià, A., Juréus, A., Kaminska, D., Kaplan, A. S., Kaprio, J., Karhunen, L., Karwautz, A., Kas, M. J. H., Kaye, W., Leung, R., Kennedy, J. L., Keski-Rahkonen, A., Kiezebrink, K., Klareskog, L., Klump, K. L., Knudsen, G. P. S., Koeleman, B. P. C., Koubek, D., La Via, M. C., Landén, M., Keohane, A., Le Hellard, S., Levitan, R. D., Li, D., Lichtenstein, P., Lilenfeld, L., Lissowska, J., Lundervold, A., Magistretti, P., Maj, M., Mannik, K., Burghardt, R., Marsal, S., Martin, N., Mattingsdal, M., McDevitt, S., McGuffin, P., Merl, E., Metspalu, A., Meulenbelt, I., Micali, N., Mitchell, J., Ehrlich, S., Mitchell, K., Monteleone, P., Monteleone, A. M., Mortensen, P., Munn-Chernoff, M. A., Navratilova, M., Nilsson, I., Norring, C., Ntalla, I., Ophoff, R. A., O'Toole, J. K., Palotie, A., Pante, J., Papezova, H., Pinto, D., Rabionet, R., Raevuori, A., Rajewski, A., Ramoz, N., Rayner, N. W., Southam, L., Reichborn-Kjennerud, T., Ripatti, S., Roberts, M., Rotondo, A., Rujescu, D., Rybakowski, F., Santonastaso, P., Scherag, A., Scherer, S. W., Schmidt, U., Ludolph, A., Schork, N. J., Schosser, A., Slachtova, L., Sladek, R., Slagboom, P. E., Slof-Op 't Landt, M. C. T., Slopien, A., Soranzo, N., Steen, V. M., Walton, E., Strengman, E., Strober, M., Sullivan, P. F., Szatkiewicz, J. P., Szeszenia-Dabrowska, N., Tachmazidou, I., Tenconi, E., Thornton, L. M., Tortorella, A., Tozzi, F., Deloukas, P., Treasure, J., Tsitsika, A., Tziouvas, K., van Elburg, A. A., van Furth, E. F., Wagner, G., Watson, H., Wichmann, H-E, Widen, E., Hofman, A., Woodside, D. B., Yanovski, J., Yao, S., Yilmaz, Z., Zeggini, E., Zerwas, S., Zipfel, S., Palta, P., van Rooij, F. J. A., Stirrups, K., Adan, R., Boni, C., Cone, R., Dedoussis, G., van Furth, E., Hudson, J., Kas, M., Keski-Rahonen, A., Steinberg, J., Knudsen, G-P, Raevuori, A. H., Aguilera-McKay, F., van Elburg, A., Consortium, Eating Disorder Working Group of the Psychiatric Genomics, Collier, D. A., Breen, G., Bulik, C. M., Adan, R. A. H., Alfredsson, L., Ando, T., Andreassen, O. A., Aschauer, H., Baker, J. H., Barrett, J. C., Bencko, V., Bergen, A. W., Berrettini, W. H., Birgegard, A., Boraska Perica, V., Brandt, H., Carlberg, L., Cassina, M., Cichon, S., Clementi, M., Cohen-Woods, S., Coleman, J., Cone, R. D., Gunasinghe, C., Courtet, P., Crawford, S., Crow, S., Crowley, J., Danner, U. N., Davis, O. S. P., de Zwaan, M., Degortes, D., DeSocio, J. E., Romero, A., Dick, D. M., Dikeos, D., Dina, C., Ding, B., Dmitrzak-Weglarz, M., Docampo, E., Duncan, L., Egberts, K., Escaramís, G., Inconnu, Institut Pasteur de Côte d'Ivoire, Réseau International des Instituts Pasteur (RIIP), Laboratoire de bactériologie-virologie, CHU de Yopougon, Department of Nutrition Science & Dietetics, Harokopio University, Analyse Phenotypique, Developpementale et Genetique des Comportements Addictifs, Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre of Excellence in Complex Disease Genetics, Aarno Palotie / Principal Investigator, Institute for Molecular Medicine Finland, Clinicum, University of Helsinki, Department of Public Health, Anna Keski-Rahkonen / Principal Investigator, HUS Children and Adolescents, Genomics of Neurological and Neuropsychiatric Disorders, Genetic Epidemiology, Eating Disorder Working Group of the Psychiatric Genomics Consortium, Epidemiology, Kas lab, Huckins, L. M., Hatzikotoulas, K., Southam, L., Thornton, L. M., Steinberg, J., Aguilera-Mckay, F., Treasure, J., Schmidt, U., Gunasinghe, C., Romero, A., Curtis, C., Rhodes, D., Moens, J., Kalsi, G., Dempster, D., Leung, R., Keohane, A., Burghardt, R., Ehrlich, S., Hebebrand, J., Hinney, A., Ludolph, A., Walton, E., Deloukas, P., Hofman, A., Palotie, A., Palta, P., van Rooij, F. J. A., Stirrups, K., Adan, R., Boni, C., Cone, R., Dedoussis, G., van Furth, E., Gonidakis, F., Gorwood, P., Hudson, J., Kaprio, J., Kas, M., Keski-Rahonen, A., Kiezebrink, K., Knudsen, G. -P., Slof-Op 'T Landt, M. C. T., Maj, M., Monteleone, A. M., Monteleone, P., Raevuori, A. H., Reichborn-Kjennerud, T., Tozzi, F., Tsitsika, A., Elburg, A., Collier, D. A., Sullivan, P. F., Breen, G., Bulik, C. M., Zeggini, E., Adan, R. A. H., Alfredsson, L., Ando, T., Andreassen, O. A., Aschauer, H., Baker, J. H., Barrett, J. C., Bencko, V., Bergen, A. W., Berrettini, W. H., Birgegard, A., Perica, V. B., Brandt, H., Carlberg, L., Cassina, M., Cichon, S., Clementi, M., Cohen-Woods, S., Coleman, J., Cone, R. D., Courtet, P., Crawford, S., Crow, S., Crowley, J., Danner, U. N., Davis, O. S. P., Zwaan, M., Degortes, D., Desocio, J. E., Dick, D. M., Dikeos, D., Dina, C., Ding, B., Dmitrzak-Weglarz, M., Docampo, E., Duncan, L., Egberts, K., Escaramis, G., Esko, T., Espeseth, T., Estivill, X., Favaro, A., Fernandez-Aranda, F., Fichter, M. M., Finan, C., Fischer, K., Floyd, J. A. B., Foretova, L., Forzan, M., Franklin, C. S., Gallinger, S., Gambaro, G., Gaspar, H. A., Giegling, I., Gratacos, M., Guillaume, S., Guo, Y., Hakonarson, H., Halmi, K. A., Hauser, J., Helder, S., Herms, S., Herpertz-Dahlmann, B., Herzog, W., Hilliard, C. E., Hubel, C., Hudson, J. I., Huemer, J., Inoko, H., Janout, V., Jimenez-Murcia, S., Johnson, C., Julia, A., Jureus, A., Kaminska, D., Kaplan, A. S., Karhunen, L., Karwautz, A., Kas, M. J. H., Kaye, W., Kennedy, J. L., Keski-Rahkonen, A., Klareskog, L., Klump, K. L., Knudsen, G. P. S., Koeleman, B. P. C., Koubek, D., Via, M. C. L., Landen, M., Hellard, S. L., Levitan, R. D., Li, D., Lichtenstein, P., Lilenfeld, L., Lissowska, J., Lundervold, A., Magistretti, P., Mannik, K., Marsal, S., Martin, N., Mattingsdal, M., Mcdevitt, S., Mcguffin, P., Merl, E., Metspalu, A., Meulenbelt, I., Micali, N., Mitchell, J., Mitchell, K., Mortensen, P., Munn-Chernoff, M. A., Navratilova, M., Nilsson, I., Norring, C., Ntalla, I., Ophoff, R. A., O'Toole, J. K., Pantel, J., Papezova, H., Pinto, D., Rabionet, R., Raevuori, A., Rajewski, A., Ramoz, N., Rayner, N. W., Ripatti, S., Roberts, M., Rotondo, A., Rujescu, D., Rybakowski, F., Santonastaso, P., Scherag, A., Scherer, S. W., Schork, N. J., Schosser, A., Slachtova, L., Sladek, R., Slagboom, P. E., Slopien, A., Soranzo, N., Steen, V. M., Strengman, E., Strober, M., Szatkiewicz, J. P., Szeszenia-Dabrowska, N., Tachmazidou, I., Tenconi, E., Tortorella, A., Tziouvas, K., Elburg, A. A., Furth, E. F., Wagner, G., Watson, H., Wichmann, H. -E., Widen, E., Woodside, D. B., Yanovski, J., Yao, S., Yilmaz, Z., Zerwas, S., and Zipfel, S.

Subjects
Male, 0301 basic medicine, Anorexia Nervosa, [SDV]Life Sciences [q-bio], Intron, Medizin, Genome-wide association study, Genome, 3124 Neurology and psychiatry, Intergenic region, Molecular Biology, Psychiatry and Mental Health, Cellular and Molecular Neuroscience, Exome, HYPOGONADOTROPIC HYPOGONADISM, GENE-EXPRESSION, Genetics, Bulimia nervosa, ASSOCIATION, GPI-Linked Protein, 3. Good health, CONTROLLED-TRIALS, Psychiatry and Mental health, Eating disorders, Phenotype, CONTROLLED FAMILY, Female, Original Article, Human, Genotype, In silico, European Continental Ancestry Group, Locus (genetics), Biology, GPI-Linked Proteins, Polymorphism, Single Nucleotide, White People, 03 medical and health sciences, BULIMIA-NERVOSA, medicine, Journal Article, Humans, Family, Genetic Predisposition to Disease, ddc:610, Genetic association, AUTISM SPECTRUM DISORDER, 3112 Neurosciences, Genetic Variation, Correction, EATING-DISORDERS, ARACHIDONIC-ACID, medicine.disease, Introns, 030104 developmental biology, Cell Adhesion Molecule, RISK-FACTORS, 3111 Biomedicine, Cell Adhesion Molecules, Genome-Wide Association Study
Abstract

Anorexia nervosa (AN) is a complex neuropsychiatric disorder presenting with dangerously low body weight, and a deep and persistent fear of gaining weight. To date, only one genome-wide significant locus associated with AN has been identified. We performed an exome-chip based genome-wide association studies (GWAS) in 2158 cases from nine populations of European origin and 15 485 ancestrally matched controls. Unlike previous studies, this GWAS also probed association in low-frequency and rare variants. Sixteen independent variants were taken forward for in silico and de novo replication (11 common and 5 rare). No findings reached genome-wide significance. Two notable common variants were identified: rs10791286, an intronic variant in OPCML (P=9.89 × 10−6), and rs7700147, an intergenic variant (P=2.93 × 10−5). No low-frequency variant associations were identified at genome-wide significance, although the study was well-powered to detect low-frequency variants with large effect sizes, suggesting that there may be no AN loci in this genomic search space with large effect sizes.

Published
2017

37. Evidence for three genetic loci involved in both anorexia nervosa risk and variation of body mass index

Author

Hinney, A., Kesselmeier, M., Huckins, Laura M, Hauser, Joanna, Karhunen, Leila, Meulenbelt, Ingrid, Slagboom, P Eline, Tortorella, Alfonso, Maj, Mario, Dedoussis, George, Dikeos, Dimitris, Gonidakis, Fragiskos, Tziouvas, Konstantinos, Southam, Lorraine, Tsitsika, Artemis, Papezova, Hana, Slachtova, Lenka, Martaskova, Debora, Kennedy, James L, Levitan, Robert D, Yilmaz, Zeynep, Huemer, Julia, Koubek, Doris, Merl, Elisabeth, Rayner, N William, Wagner, Gudrun, Lichtenstein, Paul, Breen, Gerome, Cohen-Woods, Sarah, Farmer, Anne, McGuffin, Peter, Cichon, Sven, Giegling, Ina, Herms, Stefan, Rujescu, Dan, Tachmazidou, Ioanna, Schreiber, Stefan, Wichmann, H-Erich, Dina, Christian, Sladek, Rob, Gambaro, Giovanni, Soranzo, Nicole, Julia, Antonio, Marsal, Sara, Rabionet, Raquel, Gaborieau, Valerie, Klump, Kelly L, Dick, Danielle M, Palotie, Aarno, Ripatti, Samuli, Widén, Elisabeth, Andreassen, Ole A, Espeseth, Thomas, Lundervold, Astri, Reinvang, Ivar, Steen, Vidar M, Hellard, Stephanie Le, Treasure, Janet, Mattingsdal, Morten, Ntalla, Ioanna, Bencko, Vladimir, Foretova, Lenka, Janout, Vladimir, Navratilova, Marie, Gallinger, Steven, Pinto, Dalila, Scherer, Stephen W, Aschauer, Harald, Lewis, Cathryn M, Carlberg, Laura, Schosser, Alexandra, Alfredsson, Lars, Ding, Bo, Klareskog, Lars, Padyukov, Leonid, Finan, Chris, Kalsi, Gursharan, Roberts, Marion, Logan, Darren W, Schmidt, Ulrike, Peltonen, Leena, Ritchie, Graham R S, Barrett, Jeff C, Estivill, Xavier, Hinney, Anke, Sullivan, Patrick F, Collier, David A, Zeggini, Eleftheria, Bulik, Cynthia M, Anderson, Carl A, Tozzi, Federica, Barrett, Jeffrey C, Floyd, James A B, Franklin, Christopher S, McGinnis, Ralph, Sambrook, Jennifer, Stephens, Jonathan, Ouwehand, Willem H, McArdle, Wendy L, iezebrink, Kirsty, Ring, Susan M, Strachan, David P, Alexander, Graeme, Conlon, Peter J, Dominiczak, Anna, Duncanson, Audrey, Hill, Adrian, Langford, Cordelia, Jall, S., Hebebrand, Johannes, Lord, Graham, Maxwell, Alexander P, Morgan, Linda, Sandford, Richard N, Sheerin, Neil, Vannberg, Frederik O, Blackburn, Hannah, Chen, Wei-Min, Edkins, Sarah, Gorwood, Philip, Gillman, Mathew, Gray, Emma, Hunt, Sarah E, Nengut-Gumuscu, Suna, Potter, Simon, Rich, Stephen S, Simpkin, Douglas, Whittaker, Pamela, Heid, I. M., Winkler, T. W., Adan, Roger A H, de Bakker, P., Bültmann, U., Geleijnse, M., Harst, P. V., Koppelman, G., Rosmalen, J. G., van Rossum, L., Smidt, H., Swertz, M. A., Stolk, R. P., Kas, Martien J H, Alizadeh, B., de Boer, R., Boezen, H. M., Bruinenberg, M., Franke, L., van der Harst, P., Hillege, H., van der Klauw, M., Navis, G., Ormel, J., Favaro, Angela, Postma, D., Rosmalen, J., Slaets, J., Snieder, H., Stolk, R., Wolffenbuttel, B., Wijmenga, C., Berg, J., Blackwood, D., Campbell, H., Santonastaso, Paolo, Cavanagh, J., Connell, J., Connor, M., Cunningham-Burley, S., Deary, I., Dominiczak, A., Ellis, P., FitzPatrick, B., Ford, I., Gertz, R., Fernández-Aranda, Fernando, Grau, A., Haddow, G., Jackson, C., Kerr, S., Lindsay, R., McGilchrist, M., McIntyre, D., Morris, A., Morton, R., Muir, W., Gratacos, Monica, Murray, G., Palmer, C., Pell, J., Philp, A., Porteous, D., Porteous, M., Procter, R., Ralston, S., Reid, D., Sinnott, R., Rybakowski, Filip, Smith, B., Clair, D. S., Sullivan, F., Sweetland, M., Ure, J., Watt, G., Wolf, R., Wright, A., Berndt, S. I., Gustafsson, S., Dmitrzak-Weglarz, Monika, Mägi, R., Ganna, A., Wheeler, E., Feitosa, M. F., Justice, A. E., Monda, K. L., Croteau- Chonka, D. C., Day, F. R., Esko, T., Fall, T., Volckmar, A-L, Kaprio, Jaakko, Ferreira, T., Gentilini, D., Jackson, A. U., Luan, J., Randall, J. C., Vedantam, S., Willer, C. J., Wood, A. R., Workalemahu, T., Keski-Rahkonen, Anna, Hu, Y. J., Lee, S. H., Liang, L., Lin, D. Y., Min, J. L., Neale, B. M., Thorleifsson, G., Yang, J., Albrecht, E., Amin, N., Raevuori-Helkamaa, Anu, Bragg-Gresham, J. L., Cadby, G., den Heijer, M., Eklund, N., Fischer, K., Goel, A., Hottenga, J. J., Huffman, J. E., Jarick, I., Johansson, A., Van Furth, Eric F, Johnson, T., Kanoni, S., Kleber, M. E., König, I. R., Kristiansson, K., Kutalik, Z., Lamina, C., Lecoeur, C., Li, G., Mangino, M., Slof-Op't Landt, Margarita C T, McArdle, W. L., Medina-Gomez, C., Müller-Nurasyid, M., Ngwa, J. S., Nolte, I. M., Paternoster, L., Pechlivanis, S., Perola, M., Peters, M. J., Preuss, M., Hudson, James I, Rose, L. M., Shi, J., Shungin, D., Smith, A. V., Strawbridge, R. J., Surakka, I., Teumer, A., Trip, M. D., Tyrer, J., Van Vliet- Ostaptchouk, J. V., Reichborn-Kjennerud, Ted, Vandenput, L., Waite, L. L., Zhao, J. H., Absher, D., Asselbergs, F. W., Atalay, M., Attwood, A. P., Balmforth, A. J., Basart, H., Beilby, J., Knudsen, Gun Peggy S, Bonnycastle, L. L., Brambilla, P., Chasman, D. I., Chines, P. S., Collins, F. S., Connell, J. M., Cookson, W., de Faire, U., Monteleone, Palmiero, de Vegt, F., Dei, M., Dimitriou, M., Edkins, S., Estrada, K., Evans, D. M., Farrall, M., Ferrario, M. M., Ferrières, J., Kaplan, Allan S, Frau, F., Gejman, P. V., Grallert, H., Grönberg, H., Gudnason, V., Hall, A. S., Hall, P., Hartikainen, A. L., Hayward, C., Heard-Costa, N. L., Föcker, M., Karwautz, Andreas, Heath, A. C., Hebebrand, J., Homuth, G., Hu, F. B., Hunt, S. E., Hyppönen, E., Iribarren, C., Jacobs, K. B., Jansson, J. O., Jula, A., Hakonarson, Hakon, Kähönen, M., Kathiresan, S., Kee, F., Khaw, K. T., Kivimaki, M., Koenig, W., Kraja, A. T., Kumari, M., Kuulasmaa, K., Kuusisto, J., Berrettini, Wade H, Laitinen, J. H., Lakka, T. A., Langenberg, C., Launer, L. J., Lind, L., Lindström, J., Liu, J., Liuzzi, A., Lokki, M. L., Lorentzon, M., Guo, Yiran, Madden, P. A., Magnusson, P. K., Manunta, P., Marek, D., März, W., Mateo Leach, I., McKnight, B., Medland, S. E., Mihailov, E., Milani, L., Li, Dong, Montgomery, G. W., Mooser, V., Mühleisen, T. W., Munroe, P. B., Musk, A. W., Narisu, N., Nicholson, G., Nohr, E. A., Ong, K. K., Schork, Nicholas J, Oostra, B. A., Palmer, C. N., Palotie, A., Peden, J. F., Pedersen, N., Peters, A., Polasek, O., Pouta, A., Pramstaller, P. P., Prokopenko, I., Komaki, Gen, Pütter, C., Radhakrishnan, A., Raitakari, O., Rendon, A., Rivadeneira, F., Rudan, I., Saaristo, T. E., Sambrook, J. G., Sanders, A. R., Sanna, S., Ando, Tetsuya, Saramies, J., Schipf, S., Schreiber, S., Schunkert, H., Shin, S. Y., Signorini, S., Sinisalo, J., Skrobek, B., Soranzo, N., Stancakova, A., Inoko, Hidetoshi, Stark, K., Stephens, J. C., Stirrups, K., Stumvoll, M., Swift, A. J., Theodoraki, E. V., Thorand, B., Tregouet, D. A., Tremoli, E., Esko, Tõnu, Van der Klauw, M. M., van Meurs, J. B., Vermeulen, S. H., Viikari, J., Virtamo, J., Vitart, V., Waeber, G., Wang, Z., Widen, E., Wild, S. H., Antel, J., Fischer, Krista, Willemsen, G., Winkelmann, B. R., Witteman, J. C., Wolffenbuttel, B. H., Wong, A., Wright, A. F., Zillikens, M., Amouyel, P., Boehm, B. O., Boerwinkle, E., Männik, Katrin, Boomsma, D. I., Caulfield, M. J., Chanock, S. J., Cupples, L., Cusi, D., Dedoussis, G. V., Erdmann, J., Eriksson, J. G., Franks, P. W., Froguel, P., Metspalu, Andres, Gieger, C., Gyllensten, U., Hamsten, A., Harris, T. B., Hengstenberg, C., Hicks, A. A., Hingorani, A., Hofman, A., Hovingh, K. G., Baker, Jessica H, Hveem, K., Illig, T., Jarvelin, M. R., Jöckel, K. H., Keinanen-Kiukaanniemi, S. M., Kiemeney, L. A., Kuh, D., Laakso, M., Lehtimäki, T., Levinson, D. F., Cone, Roger D, Martin, N. G., Metspalu, A., Morris, A. D., Nieminen, M. S., Njølstad, I., Ohlsson, C., Oldehinkel, A. J., Ouwehand, W. H., Palmer, L. J., Penninx, B., Dackor, Jennifer, Power, C., Province, M. A., Psaty, B. M., Qi, L., Rauramaa, R., Ridker, P. M., Ripatti, S., Salomaa, V., Samani, N. J., DeSocio, Janiece E, Sørensen, T. I., Spector, T. D., Stefansson, K., Tönjes, A., Tuomilehto, J., Uitterlinden, A. G., Uusitupa, M., Vollenweider, P., Wallaschofski, H., Hilliard, Christopher E, Wareham, N. J., Watkins, H., Wichmann, H, Wilson, J. F., Abecasis, G. R., Assimes, T. L., Barroso, I., Boehnke, M., Borecki, I. B., Deloukas, P., O'Toole, Julie K, Fox, C. S., Frayling, T., Groop, L. C., Haritunian, T., Hunter, D., Kaplan, R. C., Karpe, F., Moffatt, M., Mohlke, K. L., Pantel, Jacques, O'Connell, J. 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L., Lin, P., Marongiu, M., McArdle, P. F., Scherag, André, Stolk, L., van Wingerden, S. H., Corre, T., Ingelsson, E., Smith, E. N., Scherag, Susann, Ulivi, S., Warrington, M., Zgaga, L., Alavere, H., Aspelund, T., Bandinelli, S., Berenson, G. S., Bergmann, S., Zipfel, Stephan, Blackburn, H., Buring, J. E., Busonero, F., Chen, W., Cornelis, M. C., Couper, D., Coviello, A. D., Boni, Claudette, d'Adamo, P., de Geus, E. J., Döring, A., Davey Smith, G., Easton, D. F., Eiriksdottir, G., Emilsson, V., Eriksson, J., Ramoz, Nicolas, Ferrucci, L., Folsom, A. R., Foroud, T., Garcia, M., Gasparini, P., Hankinson, S. E., Versini, Audrey, Ferreli, L., Hernandez, D. G., Järvelin, M. R., Johnson, A. D., Karasik, D., Brandys, Marek K, Kiel, D. P., Kolcic, I., Kraft, P., Laven, J. S., Li, S., Levy, D., Danner, Unna N, Murray, S. S., Nalls, M. A., Navarro, P., Nelis, M., Ness, A. R., Northstone, K., de Kove, Carolien, Peacock, M., Paré, G., Parker, A. N., Pedersen, N. 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W., Kaye, W., Berrettini, W., Hakonarson, H., Herpertz-Dahlmann, B., De Zwaan, M., Herzog, W., Ehrlich, S., Zipfel, S., Egberts, K. M., Adan, R., Brandys, M., Van Elburg, A., Boraska Perica, V., Muller, T. D., Tschop, M. H., Zeggini, E., Bulik, C. M., Collier, D., Scherag, A., Hebebrand, J., Perica, V. B., Floyd, J. A. B., Thornton, L. M., Huckins, L. M., Southam, L., Rayner, N. W., Tachmazidou, I., Klump, K. L., Treasure, J., Lewis, C. M., Schmidt, U., Tozzi, F., Iezebrink, K., Gorwood, P., Kas, M. J. H., Favaro, A., Santonastaso, P., Fernandez-Aranda, F., Gratacos, M., Rybakowski, F., Dmitrzak-Weglarz, M., Kaprio, J., Keski-Rahkonen, A., Raevuori-Helkamaa, A., Van Furth, E. F., Slof-Op't Landt, M. C. T., Hudson, J. I., Reichborn-Kjennerud, T., Knudsen, G. P. S., Monteleone, P., Kaplan, A. S., Karwautz, A., Li, D., Komaki, G., Ando, T., Inoko, H., Esko, T., Fischer, K., Mannik, K., Metspalu, A., Baker, J. H., Cone, R. D., Dackor, J., Desocio, J. E., Hilliard, C. E., O'Toole, J. K., Pantel, J., Szatkiewicz, J. P., Taico, C., Zerwas, S., Trace, S. E., Davis, O. S. P., Helder, S., Buhren, K., Burghardt, R., Imgart, H., Scherag, S., Boni, C., Ramoz, N., Versini, A., Danner, U. N., de Kove, C., Hendriks, J., Koeleman, B. P. C., Ophoff, R. A., Strengman, E., Bruson, A., Clementi, M., Degortes, D., Forzan, M., Tenconi, E., Docampo, E., Jimenez-Murcia, G. E. S., Lissowska, J., Rajewski, A., Szeszenia-Dabrowska, N., Slopien, A., Hauser, J., Karhunen, L., Meulenbelt, I., Slagboom, P. E., Tortorella, A., Maj, M., Dedoussis, G., Dedoussis, G. V., Dikeos, D., Gonidakis, F., Tziouvas, K., Tsitsika, A., Papezova, H., Slachtova, L., Martaskova, D., Kennedy, J. L., Levitan, R. D., Yilmaz, Z., Huemer, J., Koubek, D., Merl, E., Wagner, G., Lichtenstein, P., Breen, G., Cohen-Woods, S., Farmer, A., Mcguffin, P., Cichon, S., Giegling, I., Herms, S., Rujescu, D., Schreiber, S., Wichmann, H. -E., Christian, D., Sladek, R., Gambaro, G., Soranzo, N., Julia, A., Marsal, S., Rabionet, R., Gaborieau, V., Dick, D. M., Palotie, A., Ripatti, S., Widen, E., Andreassen, O. A., Espeseth, T., Lundervold, A., Reinvang, I., Steen, V. M., Le Hellard, S., Mattingsdal, M., Ntalla, I., Bencko, V., Foretova, L., Janout, V., Navratilova, M., Gallinger, S., Pinto, D., Scherer, S. W., Aschauer, H., Carlberg, L., Schosser, A., Alfredsson, L., Ding, B., Klareskog, L., Padyukov, L., Finan, C., Kalsi, G., Roberts, M., Logan, D. W., Peltonen, L., Ritchie, G. R. S., Barrett, J. C., Estivill, X., Sullivan, P. F., Anderson, C. A., Mcginnis, R., Sambrook, J., Stephens, J., Ouwehand, W. H., Mcardle, W. L., Mcardle, P. F., Ring, S. M., Strachan, D. P., Alexander, G., Conlon, P. J., Dominiczak, A., Duncanson, A., Hill, A., Langford, C., Lord, G., Maxwell, A. P., Morgan, L., Sandford, R. N., Sheerin, N., Vannberg, F. O., Chen, W. -M., Edkins, S., Gillman, M., Gray, E., Hunt, S. E., Nengut, S. -G., Potter, S., Rich, S. S., Simpkin, D., Whittaker, P., Adair, L. S., Ang, W., Atalay, M., van Beijsterveldt, T., Bergen, N., Benke, K., Berry, D. J., Boomsma, D. I., Bradfield, J. P., Charoen, P., Coin, L., Cooper, C., Cousminer, D. L., Das, S., Elliott, P., Evans, D. M., Feenstra, B., Flexeder, C., Frayling, T., Freathy, R. M., Gaillard, R., Geller, F., Groen-Blokhuis, M., Goh, L. K., Guxens, M., Hattersley, A. T., Haworth, C. M., Hadley, D., Heinrich, J., Hirschhorn, J. N., Hocher, B., Holloway, J. W., Holst, C., Hottenga, J. J., Horikoshi, M., Huikari, V., Hypponen, E., Iniguez, C., Jaddoe, V. W., Jarvelin, M. R., Kaakinen, M., Kilpelainen, T. O., Kirin, M., Kowgier, M., Lakka, H. M., Lakka, T. A., Lange, L. A., Lawlor, D. A., Lehtimaki, T., Lewin, A., Lindgren, C., Lindi, V., Maggi, R., Marsh, J., Mccarthy, M. I., Melbye, M., Middeldorp, C., Millwood, I., Mohlke, K. L., Mook-Kanamori, D. O., Murray, J. C., Nivard, M., Nohr, E. A., Oken, E., Ong, K. K., O'Reilly, P. F., Palmer, L. J., Panoutsopoulou, K., Pararajasingham, J., Pearson, E. R., Pennell, C. E., Power, C., Price, T. S., Prokopenko, I., Raitakari, O. T., Rodriguez, A., Salem, R. M., Saw, S. M., Sebert, S., Siitonen, N., Simell, O., Sorensen, T. I., Sovio, U., Pourcain, B. S., Sunyer, J., Taal, H. R., Teo, Y. Y., Thiering, E., Tiesler, C., Timpson, N. J., Uitterlinden, A. G., Valcarcel, B., Warrington, N. M., White, S., Willemsen, G., Wilson, J. F., Yaghootkar, H., Elks, C. E., Perry, J. R., Sulem, P., Chasman, D. I., Franceschini, N., He, C., Lunetta, K. L., Visser, J. A., Byrne, E. M., Gudbjartsson, D. F., Koller, D. L., Kutalik, Z., Lin, P., Mangino, M., Marongiu, M., Smith, A. V., Stolk, L., van Wingerden, S. H., Zhao, J. H., Albrecht, E., Corre, T., Ingelsson, E., Hayward, C., Magnusson, P. K., Smith, E. N., Ulivi, S., Warrington, M., Zgaga, L., Alavere, H., Amin, N., Aspelund, T., Bandinelli, S., Barroso, I., Berenson, G. S., Bergmann, S., Boerwinkle, E., Buring, J. E., Busonero, F., Campbell, H., Chanock, S. J., Cornelis, M. C., Couper, D., Coviello, A. D., D'Adamo, P., de Faire, U., de Geus, E. J., Deloukas, P., Doring, A., Davey Smith, G., Easton, D. F., Eiriksdottir, G., Emilsson, V., Eriksson, J., Ferrucci, L., Folsom, A. R., Foroud, T., Garcia, M., Gasparini, P., Gieger, C., Gudnason, V., Hall, P., Hankinson, S. E., Ferreli, L., Heath, A. C., Hernandez, D. G., Hofman, A., Hu, F. B., Illig, T., Karasik, D., Khaw, K. T., Kiel, D. P., Kolcic, I., Kraft, P., Launer, L. J., Laven, J. S., Li, S., Liu, J., Levy, D., Martin, N. G., Mooser, V., Murray, S. S., Nalls, M. A., Navarro, P., Nelis, M., Ness, A. R., Northstone, K., Oostra, B. A., Peacock, M., Pare, G., Parker, A. N., Pedersen, N. L., Pharoah, P., Polasek, O., Plump, A. S., Pouta, A., Porcu, E., Rafnar, T., Rice, J. P., Rivadeneira, F., Rudan, I., Sala, C., Salomaa, V., Sanna, S., Schlessinger, D., Scuteri, A., Segre, A. V., Shuldiner, A. R., Srinivasan, S. R., Tammesoo, M. L., Tikkanen, E., Toniolo, D., Tsui, K., Tryggvadottir, L., Tyrer, J., Uda, M., van Dam, R. M., van Meurs, J. B., Vollenweider, P., Waeber, G., Wareham, N. J., Waterworth, D. M., Weedon, M. N., Wright, A. F., Young, L., Zhai, G., Zhuang, W. V., Bierut, L. J., Boyd, H. A., Crisponi, L., Demerath, E. W., van Duijn, C. M., Econs, M. J., Harris, T. B., Hunter, D. J., Loos, R. J., Ridker, P. M., Spector, T. D., Streeten, E. A., Stefansson, K., Thorsteinsdottir, U., Murabito, J. M., Murray, A., Brandt, H., Crawford, S., Crow, S., Fichter, M. M., Halmi, K. A., Johnson, C., La Via, M., Mitchell, J., Strober, M., Rotondo, A., Woodside, D. B., Keel, P., Lilenfeld, L., Plotnicov, K., Magistretti, P., Montgomery, G. W., Blackburn, H., Schork, N. J., Hinney, Anke, Kesselmeier, Miriam, Jall, Sigrid, Volckmar, Anna-Lena, Föcker, Manuel, Hebebrand, J, GCAN, WTCCC3, GIANT, EGG, Price Foundation Collaborative Group, Children’s Hospital of Philadelphia/Price Foundation, Cardiology, Vascular Medicine, ACS - Amsterdam Cardiovascular Sciences, ACS - Atherosclerosis & ischemic syndromes, Hinney, A, Kesselmeier, M, Jall, S, Volckmar, Al, Focker, M, Antel, J, Gcan, Wtccc3, Heid, Im, Winkler, Tw, Grant, Sfa, Giant, Manunta, P, Sfa, Grant, Egg, Guo, Y, Bergen, Aw, Kaye, W, Berrettini, W, Hakonarson, H, Price Foundation Collaborative, Group, Children’s Hospital of Philadelphia/Price, Foundation, Herpertz-Dahlmann, B, de Zwaan, M, Herzog, W, Ehrlich, S, Zipfel, S, Egberts, Km, Adan, R, Brandys, M, van Elburg, A, Perica, Vb, Franklin, C, Tschop, Mh, Zeggini, E, Bulik, Cm, Collier, D, Scherag, A, Muller, Td, Animal Ecology, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Methodology, Volckmar, A-L, Föcker, M, Gcan, Wtccc, Gasparini, P, D'Adamo, A, Children’S Hospital of Philadelphia/Price, Foundation, Boraska Perica, V, Tschöp, Mh, and Müller, Td

Subjects
Netherlands Twin Register (NTR), Male, Anorexia Nervosa, Genome-wide association study, Cardiovascular, Linkage Disequilibrium, Body Mass Index, 0302 clinical medicine, Databases, Genetic, WTCCC3, Aetiology, Cancer, 0303 health sciences, Loci, Genetic Predisposition to Disease/genetics, Cross-disorder, Anorèxia nerviosa, anorexia nervosa (AN), Shared, 3. Good health, Psychiatry and Mental health, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Human, Alleles, Body Weight, Female, Gene Frequency, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Obesity, Polymorphism, Single Nucleotide, Risk Factors, Molecular Biology, Psychiatry and Mental Health, Cellular and Molecular Neuroscience, medicine.medical_specialty, Locus (genetics), Single-nucleotide polymorphism, ta3111, Article, 03 medical and health sciences, Genetic, SDG 3 - Good Health and Well-being, Genetics, EGG, Polymorphism, Children’s Hospital of Philadelphia/Price Foundation, body mass index (BMI), genome-wide association meta-analysis (GWAMA), Prevention, ta1184, medicine.disease, 030104 developmental biology, Endocrinology, diagnostic markers, Body mass index, Genètica, 030217 neurology & neurosurgery, 0301 basic medicine, Linkage disequilibrium, GIANT, Medizin, Obesity/genetics, Overweight, Medical and Health Sciences, Oral and gastrointestinal, Anorexia Nervosa/genetics, 2.1 Biological and endogenous factors, Psychiatry, 2. Zero hunger, Allele, Eating disorder, Single Nucleotide, Biological Sciences, Polymorphism, Single Nucleotide/genetics, Price Foundation Collaborative Group, Stroke, psychiatric disorders, Gene Frequency/genetics, medicine.symptom, Databases, Internal medicine, Body Weight/genetics, medicine, Journal Article, Linkage Disequilibrium/genetics, ddc:610, Metabolic and endocrine, Nutrition, 030304 developmental biology, GCAN, business.industry, Risk Factor, Human Genome, Psychology and Cognitive Sciences, Bulimia nervosa, business
Abstract

The maintenance of normal body weight is disrupted in patients with anorexia nervosa (AN) for prolonged periods of time. Prior to the onset of AN, premorbid body mass index (BMI) spans the entire range from underweight to obese. After recovery, patients have reduced rates of overweight and obesity. As such, loci involved in body weight regulation may also be relevant for AN and vice versa. Our primary analysis comprised a cross-trait analysis of the 1000 single-nucleotide polymorphisms (SNPs) with the lowest P-values in a genome-wide association meta-analysis (GWAMA) of AN (GCAN) for evidence of association in the largest published GWAMA for BMI (GIANT). Subsequently we performed sex-stratified analyses for these 1000 SNPs. Functional ex vivo studies on four genes ensued. Lastly, a look-up of GWAMA-derived BMI-related loci was performed in the AN GWAMA. We detected significant associations (P-values

Published
2017

38. Nationwide Genomic Study in Denmark Reveals Remarkable Population Homogeneity

Author

Jade Yu Cheng, Christina M. Hultman, Mikkel H. Schierup, Thomas Espeseth, Stephanie Le Hellard, Frank G. Jørgensen, Georgios Athanasiadis, Thomas Damm Als, Peter C. Kjærgaard, Thomas Mailund, Patrick F. Sullivan, and Bjarni J. Vilhjálmsson

Subjects
Male, 0301 basic medicine, Adolescent, Danish population, Denmark, Population structure, Population, Investigations, Biology, 03 medical and health sciences, 0302 clinical medicine, Effective population size, Human settlement, Human population genetics, Genetics, Humans, education, Demography, Population Density, education.field_of_study, Anthropometry, Genome, Human, Genomics, Phenotypic trait, Genetics, Population, 030104 developmental biology, Genetic structure, Female, 030217 neurology & neurosurgery
Abstract

Denmark has played a substantial role in the history of Northern Europe. Through a nationwide scientific outreach initiative, we collected genetic and anthropometrical data from ∼800 high school students and used them to elucidate the genetic makeup of the Danish population, as well as to assess polygenic predictions of phenotypic traits in adolescents. We observed remarkable homogeneity across different geographic regions, although we could still detect weak signals of genetic structure reflecting the history of the country. Denmark presented genomic affinity with primarily neighboring countries with overall resemblance of decreasing weight from Britain, Sweden, Norway, Germany, and France. A Polish admixture signal was detected in Zealand and Funen, and our date estimates coincided with historical evidence of Wend settlements in the south of Denmark. We also observed considerably diverse demographic histories among Scandinavian countries, with Denmark having the smallest current effective population size compared to Norway and Sweden. Finally, we found that polygenic prediction of self-reported adolescent height in the population was remarkably accurate (R2 = 0.639 ± 0.015). The high homogeneity of the Danish population could render population structure a lesser concern for the upcoming large-scale gene-mapping studies in the country.

Published
2016

39. Ocular signatures of proactive versus reactive cognitive control in young adults

Author

Thomas Espeseth, Samira Aminihajibashi, Maria L. Stavrinou, Verónica Mäki-Marttunen, Maja Dyhre Foldal, Thomas Hagen, Bruno Laeng, and Jens H Halvorsen

Subjects
Adult, Male, medicine.medical_specialty, genetic structures, Adolescent, Cognitive Neuroscience, Control (management), Audiology, 050105 experimental psychology, Pupil, Task (project management), 03 medical and health sciences, Behavioral Neuroscience, Executive Function, Young Adult, 0302 clinical medicine, Cognition, medicine, Pupillary response, Reaction Time, Humans, 0501 psychology and cognitive sciences, Young adult, Blinking, 05 social sciences, Middle Aged, Response bias, Female, Psychology, 030217 neurology & neurosurgery, Pupillometry
Abstract

During the execution of a cognitive task, the brain maintains contextual information to guide behavior and achieve desired goals. The AX-Continuous Performance Task is used to study proactive versus reactive cognitive control. Young adults tend to behave proactively in standard testing conditions. However, it remains unclear how interindividual variability (e.g., in cognitive and motivational factors) may drive people into more reactive or proactive control under the same task demands. We investigated the use of control strategies in a large population of healthy young adults. We computed the proactive behavioral index and consequently divided participants into proactive, reactive, and intermediate groups. We found that reactive participants were generally slower, presented lower context sensitivity, and larger response variability. Pupillary changes and blink rate index cognitive effort allocation. We measured, concomitantly to the task, the pupil size and frequency of blinks associated with the cue maintenance and response intervals. During the cue period, nonfrequent, nontarget cues led to increased pupil dilation and number of blinks in all participants. During the response interval, we found more errors and increased pupil dilation to the probe when all participants had to overcome a response bias generated by the frequent cue. Only reactive participants showed larger response-related pupil when they had to overcome a response bias related to the frequent probe. Contrary to expectations, groups did not differ in ocular measures in the cue period. In conclusion, interindividual differences in cognitive control between healthy adults can be mapped onto different patterns of effort allocation indexed by the pupil.

Published
2018

40. Williams Syndrome neuroanatomical score associates with GTF2IRD1 in large-scale magnetic resonance imaging cohorts: a proof of concept for multivariate endophenotypes

Author

Vidar M. Steen, Joshua M. Kuperman, Chi-Hua Chen, Anders M. Dale, Timothy T. Brown, Terry L. Jernigan, Barbara E. Spencer, Eric Halgren, Chun Chieh Fan, Thomas Espeseth, Donald J. Hagler, Andrew J. Schork, Asta Håberg, Stephanie Le Hellard, Ole A. Andreassen, and Natacha Akshoomoff

Subjects
0301 basic medicine, Williams Syndrome, Male, Muscle Proteins, Bioinformatics, Hippocampus, 0302 clinical medicine, 80 and over, 2.1 Biological and endogenous factors, Psychology, Aetiology, Child, Aged, 80 and over, Pediatric, medicine.diagnostic_test, Nuclear Proteins, Single Nucleotide, Middle Aged, Magnetic Resonance Imaging, Europe, Psychiatry and Mental health, Mental Health, Child, Preschool, Chromosomal region, Public Health and Health Services, Biomedical Imaging, Female, Williams syndrome, Adult, Adolescent, Endophenotypes, Clinical Sciences, Single-nucleotide polymorphism, and over, Pediatric Imaging, Neurocognition and Genetics Study, Alzheimer’s Disease Neuroimaging Initiative, Biology, Polymorphism, Single Nucleotide, Proof of Concept Study, Article, lcsh:RC321-571, 03 medical and health sciences, Cellular and Molecular Neuroscience, Young Adult, Neuroimaging, Region of interest, Clinical Research, medicine, Genetics, Humans, Genetic variability, Polymorphism, Preschool, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Biological Psychiatry, Aged, Neurocognition and Genetics Study, Neurosciences, Magnetic resonance imaging, Pediatric Imaging, Alzheimer’s Disease Neuroimaging Initiative, medicine.disease, Brain Disorders, 030104 developmental biology, Endophenotype, Case-Control Studies, Multivariate Analysis, Trans-Activators, 030217 neurology & neurosurgery
Abstract

Despite great interest in using magnetic resonance imaging (MRI) for studying the effects of genes on brain structure in humans, current approaches have focused almost entirely on predefined regions of interest and had limited success. Here, we used multivariate methods to define a single neuroanatomical score of how William’s Syndrome (WS) brains deviate structurally from controls. The score is trained and validated on measures of T1 structural brain imaging in two WS cohorts (training, n = 38; validating, n = 60). We then associated this score with single nucleotide polymorphisms (SNPs) in the WS hemi-deleted region in five cohorts of neurologically and psychiatrically typical individuals (healthy European descendants, n = 1863). Among 110 SNPs within the 7q11.23 WS chromosomal region, we found one associated locus (p = 5e–5) located at GTF2IRD1, which has been implicated in animal models of WS. Furthermore, the genetic signals of neuroanatomical scores are highly enriched locally in the 7q11.23 compared with summary statistics based on regions of interest, such as hippocampal volumes (n = 12,596), and also globally (SNP-heritability = 0.82, se = 0.25, p = 5e−4). The role of genetic variability in GTF2IRD1 during neurodevelopment extends to healthy subjects. Our approach of learning MRI-derived phenotypes from clinical populations with well-established brain abnormalities characterized by known genetic lesions may be a powerful alternative to traditional region of interest-based studies for identifying genetic variants regulating typical brain development.

Published
2018

41. Unilateral neglect post stroke: Eye movement frequencies indicate directional hypokinesia while fixation distributions suggest compensational mechanism

Author

Jan Egil Nordvik, Frank Becker, Thomas Espeseth, Kjersti Mæhlum Walle, Bruno Laeng, and Markus Handal Sneve

Subjects
Adult, Male, medicine.medical_specialty, genetic structures, Eye Movements, media_common.quotation_subject, Visual space, divided attention, nonspatial attention, Fixation, Ocular, Hypokinesia, Audiology, 050105 experimental psychology, Neglect, Visual processing, Perceptual Disorders, 03 medical and health sciences, Behavioral Neuroscience, 0302 clinical medicine, spatial attention, medicine, Humans, 0501 psychology and cognitive sciences, Eye Movement Measurements, media_common, Aged, Original Research, eye‐tracking, 05 social sciences, neglect, Eye movement, Fixation (psychology), Middle Aged, Stroke, Unilateral neglect, Multiple Object Tracking, Eye tracking, Female, medicine.symptom, Psychology, 030217 neurology & neurosurgery
Abstract

Introduction Eye movements and spatial attention are closely related, and eye‐tracking can provide valuable information in research on visual attention. We investigated the pathology of overt attention in right hemisphere (RH) stroke patients differing in their severity of neglect symptoms by using eye‐tracking during a dynamic attention task. Methods Eye movements were recorded in 26 RH stroke patients (13 with and 13 without unilateral spatial neglect, and a matched group of 26 healthy controls during a Multiple Object Tracking task. We assessed the frequency and spatial distributions of fixations, as well as frequencies of eye movements to the left and to the right side of visual space so as to investigate individuals’ efficiency of visual processing, distribution of attentional processing resources, and oculomotoric orienting mechanisms. Results Both patient groups showed increased fixation frequencies compared to controls. A spatial bias was found in neglect patients’ fixation distribution, depending on neglect severity (indexed by scores on the Behavioral Inattention Test). Patients with more severe neglect had more fixations within the right field, while patients with less severe neglect had more fixations within their left field. Eye movement frequencies were dependent on direction in the neglect patient group, as they made more eye movements toward the right than toward the left. Conclusion The patient groups’ higher fixation rates suggest that patients are generally less efficient in visual processing. The spatial bias in fixation distribution, dependent on neglect severity, suggested that patients with less severe neglect were able to use compensational mechanisms in their contralesional space. The observed relation between eye movement rates and directions observed in neglect patients provides a measure of the degree of difficulty these patients may encounter during dynamic situations in daily life and supports the idea that directional oculomotor hypokinesia may be a relevant component in this syndrome.

Published
2018

42. Analysis of 62 hybrid assembled human Y chromosomes exposes rapid structural changes and high rates of gene conversion

Author

Gonzalez-Izarzugaza, Jose Maria, Skov, Laurits, Maretty, Lasse, Jensen, Jacob Malte, Petersen, Bent, Andreas Sibbesen, Jonas, Liu, Siyang, Villesen, Palle, Belling, Kirstine González-Izarzugaza, Theil Have, Christian, Grosjean, Marie, Bork-Jensen, Jette, Grove, Jakob, Als, Thomas D., Huang, Shujia, Chang, Yuqi, Xu, Ruiqi, Ye, Weijian, Rao, Junhua, Guo, Xiaosen, Sun, Jihua, Cao, Hongzhi, Ye, Chen, van Beusekom, Johan, Espeseth, Thomas, Flindt, Esben, Friborg, Rune M., Halager, Anders E., Le Hellard, Stephanie, Hultman, Christina M., Lescai, Francesco, Li, Shengting, Lund, Ole, Løngren, Peter, Mailund, Thomas, Matey-Hernandez, María Luisa, Mors, Ole, Pedersen, Christian N. S., Sicheritz-Pontén, Thomas, Sullivan, Patrick F., Qaswar Ali Shah, Syed, Westergaard, David, Yadav, Rachita, Li, Ning, Xu, Xun, Hansen, Torben, Krogh, Anders, Bolund, Lars, Sørensen, Thorkild I. A., Pedersen, Oluf, Gupta, Ramneek, Rasmussen, Simon, Besenbacher, Søren, Børglum, Anders D., Wang, Jun, Eiberg, Hans, Kristiansen, Karsten, Brunak, Søren, and Schierup, Mikkel Heide

Subjects
0301 basic medicine, Male, Cancer Research, Inverted repeat, Denmark, Biochemistry, Haplogroup, Fathers, 0302 clinical medicine, INDEL Mutation, Heterochromatin, MUTATION, Genetics (clinical), Phylogeny, POPULATION, Data Management, Genetics, Sex Chromosomes, Insertion Mutation, Chromosome Biology, Phylogenetic Analysis, Y Chromosomes, Nucleic acids, Phylogenetics, GENOME, ALIGNMENT, Deletion Mutation, Mutation (genetic algorithm), Research Article, EXPRESSION, Computer and Information Sciences, lcsh:QH426-470, DNA recombination, Gene Conversion, Biology, Y chromosome, Polymorphism, Single Nucleotide, SEQUENCE, Chromosomes, Nuclear Family, Evolution, Molecular, 03 medical and health sciences, Humans, Evolutionary Systematics, Gene conversion, Insertion, Indel, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Infertility, Male, Taxonomy, COPY NUMBER VARIATION, Evolutionary Biology, Chromosomes, Human, Y, Population Biology, MALE-INFERTILITY, Inverted Repeat Sequences, Biology and Life Sciences, Cell Biology, DNA, POLYMORPHISM, EVOLUTION, lcsh:Genetics, 030104 developmental biology, Evolutionary biology, Mutation, Haplogroups, 030217 neurology & neurosurgery, Population Genetics, Reference genome
Abstract

The human Y-chromosome does not recombine across its male-specific part and is therefore an excellent marker of human migrations. It also plays an important role in male fertility. However, its evolution is difficult to fully understand because of repetitive sequences, inverted repeats and the potentially large role of gene conversion. Here we perform an evolutionary analysis of 62 Y-chromosomes of Danish descent sequenced using a wide range of library insert sizes and high coverage, thus allowing large regions of these chromosomes to be well assembled. These include 17 father-son pairs, which we use to validate variation calling. Using a recent method that can integrate variants based on both mapping and de novo assembly, we genotype 10898 SNVs and 2903 indels (max length of 27241 bp) in our sample and show by father-son concordance and experimental validation that the non-recurrent SNP and indel variation on the Y chromosome tree is called very accurately. This includes variation called in a 0.9 Mb centromeric heterochromatic region, which is by far the most variable in the Y chromosome. Among the variation is also longer sequence-stretches not present in the reference genome but shared with the chimpanzee Y chromosome. We analyzed 2.7 Mb of large inverted repeats (palindromes) for variation patterns among the two palindrome arms and identified 603 mutation and 416 gene conversions events. We find clear evidence for GC-biased gene conversion in the palindromes (and a balancing AT mutation bias), but irrespective of this, also a strong bias towards gene conversion towards the ancestral state, suggesting that palindromic gene conversion may alleviate Muller’s ratchet. Finally, we also find a large number of large-scale gene duplications and deletions in the palindromic regions (at least 24) and find that such events can consist of complex combinations of simultaneous insertions and deletions of long stretches of the Y chromosome., Author summary The Y chromosome is extraordinary in many respects; it is non-recombining along most of its length, it carries many testis-expressed genes that are often found in palindromes and thus in several copies, and it is generally highly repetitive with very few unique genes. Its evolutionary process is not well understood in general because short-read mapping in such complex sequence is difficult. We combine de novo assembly and mapping to investigate evolution in more than 60% of the length of 62 Y chromosomes of Danish descent. We find that Y chromosome evolution is very dynamic even among the set of closely related Y chromosomes in Denmark with many cases of complex duplications and deletions of large regions including whole genes, clear evidence of GC-biased gene conversion in the palindromes and a tendency for gene conversion to revert mutations to their ancestral state.

Published
2017

43. Novel genetic loci associated with hippocampal volume

Author

Benjamin S. Aribisala, Marjolein M.J. van Donkelaar, Randy L. Gollub, Rachel M. Brouwer, Norman Delanty, Tomas Axelsson, Oscar L. Lopez, Thomas Espeseth, Alejandro Arias-Vasquez, Kristel R. van Eijk, Tien Yin Wong, Jeroen van der Grond, Georg Homuth, James T. Becker, Sebastian Guelfi, Anton J. M. de Craen, Bruno Vellas, Christopher R.K. Ching, Charles C. DeCarli, Janita Bralten, Lars T. Westlye, Ryota Hashimoto, Sampath Arepalli, Bertram Müller-Myhsok, Loes M. Olde Loohuis, Sudha Seshadri, Simon E. Fisher, K Hegenscheid, Konstantinos Arfanakis, Zdenka Pausova, Robert C. Green, Simone Reppermund, Katie L. McMahon, Ashley Beecham, Daan van Rooij, Marcel P. Zwiers, Karen A. Mather, Randy L. Buckner, Edith Hofer, Marcella Rietschel, Fabrice Crivello, Ronald H. Zielke, G. Bruce Pike, Thomas W. Mühleisen, Myriam Fornage, Kazutaka Ohi, Gareth E. Davies, Chantal Depondt, Gabriel Cuellar-Partida, Iryna O. Fedko, Peter R. Schofield, Steven G. Potkin, Albert Hofman, Paul M. Thompson, Wiro J. Niessen, Deborah Janowitz, Nicholas G. Martin, Li Shen, Mina Ryten, Meike W. Vernooij, Michael E. Weale, Tonya White, Dennis van 't Ent, Sudheer Giddaluru, Nanda Rommelse, Wei Wen, Sven J. van der Lee, Eco J. C. de Geus, Aaron Goldman, Joanne E. Curran, Qiang Chen, Jean Shin, Wayne C. Drevets, Thomas H. Mosley, Matthias Nauck, Massimo Pandolfo, Anders M. Dale, Paul A. Nyquist, Girma Woldehawariat, Francis J. McMahon, Najaf Amin, Emma J. Rose, Norbert Hosten, David J. Stott, Sigurdur Sigursson, Andrew J. Saykin, M. Kamran Ikram, Pieter J. Hoekstra, Neda Jahanshad, Grant W. Montgomery, Michael Weiner, Aad van der Lugt, Esther Walton, Gunter Schumann, Clyde Francks, Narelle K. Hansell, Xinmin Liu, Herve Lemaitre, Cornelia M. van Duijn, Ralph L. Sacco, Clinton B. Wright, Arvin Saremi, Clifford R. Jack, Andre G. Uitterlinden, G. Donohoe, Tomáš Paus, Michael Griswold, Peter T. Fox, Alan B. Zonderman, Lukas Pirpamer, Christiane Wolf, Aiden Corvin, Shannon L. Risacher, Ian Ford, Philippe Amouyel, Henrik Walter, Beng-Choon Ho, William T. Longstreth, M. Arfan Ikram, Hieab H.H. Adams, Colin Smith, Sungeun Kim, Simon Lovestone, Stefan Ehrlich, Benno Pütz, Markus M. Nöthen, Susana Muñoz Maniega, Ian J. Deary, Elena Shumskaya, Susan H. Blanton, Jerome I. Rotter, Neeltje E.M. van Haren, Mar Matarin, I. Kloszewska, Ganesh Chauhan, Anita L. DeStefano, Barbara Franke, Lars Nyberg, Tatiana Foroud, Tianye Jia, Manon Bernard, Unn K. Haukvik, Rebecca F. Gottesman, Srdjan Djurovic, Ching-Yu Cheng, Lachlan T. Strike, Alex P. Zijdenbos, Jouke-Jan Hottenga, Vince D. Calhoun, Yuri Milaneschi, David C. Glahn, Phil Lee, Amelia A. Assareh, Adaikalavan Ramasamy, Emma Sprooten, Debra A. Fleischman, David R. McKay, J. Raphael Gibbs, Bruce M. Psaty, Kazima B. Bulayeva, Bryan J. Traynor, Vilmundur Gudnason, Jessika E. Sussmann, Alexander Teumer, Guillén Fernández, Katharina Wittfeld, Christophe Tzourio, Dennis van der Meer, Wolfgang Hoffmann, Sebastian Mohnke, David C. Liewald, Jordan W. Smoller, Theo G.M. van Erp, Marcel Van Der Brug, Dara M. Cannon, Lenore J. Launer, D. Ames, Juan C. Troncoso, Brenda W.J.H. Penninx, Dhananjay Vaidya, Thomas D. Dyer, Marie-José van Tol, Han G. Brunner, Andrew Singleton, Lavinia Athanasiu, Adam M. Brickman, Eric Westman, P. Mecocci, Sandra Barral, Dick J. Veltman, Catharina A. Hartman, Benedicto Crespo-Facorro, Alexa S. Beiser, Vincent Chouraki, Nhat Trung Doan, Marieke Klein, Jaap Oosterlaan, Natalie A. Royle, John B.J. Kwok, Saud Alhusaini, Ingrid Melle, Roberto Toro, Ravi Duggirala, Allissa Dillman, Reinhold Schmidt, Lisa R. Yanek, Anbupalam Thalamuthu, Helena Schmidt, Derrek P. Hibar, Albert V. Smith, Jean-Luc Martinot, Thomas H. Wassink, Jennifer S. Richards, Oliver Martinez, Joshua L. Roffman, Sylvane Desrivières, Hilkka Soininen, Rene L. Olvera, Ole A. Andreassen, Diana Tordesillas-Gutiérrez, Claudia L. Satizabal, Owen Carmichael, Lianne Schmaal, Bernd Kraemer, Martine Hoogman, Daniah Trabzuni, Oliver Grimm, Andrew M. McIntosh, René S. Kahn, Nazanin Karbalai, Margaret J. Wright, Harald H.H. Göring, Martina Papmeyer, Roberto Roiz-Santiañez, Luigi Ferrucci, David A. Bennett, Kwangsik Nho, Gianpiero L. Cavalleri, Andreas Meyer-Lindenberg, Masashi Ikeda, Avram J. Holmes, Greig I. de Zubicaray, Andreas Heinz, Tatjana Rundek, Maria del C. Valdés Hernández, Dalia Kasperaviciute, Dan L. Longo, Matthew J. Huentelman, Wiepke Cahn, Beverly G. Windham, Michael A. Nalls, Philipp G. Sämann, Stella Trompet, Vidar M. Steen, Marc M. Bohlken, Christopher D. Whelan, Hilleke E. Hulshoff Pol, Susanne Erk, Dorret I. Boomsma, Dirk J. Heslenfeld, Masaki Fukunaga, D. Hoehn, Stephen M. Lawrie, Mark E. Bastin, Marco P. Boks, M. Mallar Chakravarty, M. R. Cookson, C. McDonald, Magda Tsolaki, Badri N. Vardarajan, Jason L. Stein, Jan K. Buitelaar, Erik G. Jönsson, Oliver Gruber, Robert Johnson, Jingyun Yang, Joshua C. Bis, J. Wouter Jukema, Tulio Guadalupe, Nina Romanczuk-Seiferth, Kjetil Nordbø Jørgensen, Henry Brodaty, Diane M. Becker, Anouk den Braber, Allison C. Nugent, Thomas Wolfers, John Hardy, Joanna M. Wardlaw, Michelle Luciano, Christine Macare, Dena G. Hernandez, D. Morris, John Blangero, Andrew J. Schork, Daniel R. Weinberger, Johanna Hass, Andrew Simmons, Micael Andersson, Lucija Abramovic, David S. Knopman, Mark Jenkinson, Roel A. Ophoff, Sanjay M. Sisodiya, Boris A. Gutman, Asta Håberg, Stephanie Le Hellard, Stéphanie Debette, Nicola J. Armstrong, Sarah E. Medland, Hans J. Grabe, Henry Völzke, Thomas E. Nichols, Manuel Mattheisen, Sven Cichon, Venkata S. Mattay, Ingrid Agartz, Stefan Ropele, Lorna M. Lopez, Hans van Bokhoven, Philip L. De Jager, Miguel E. Rentería, Laura Almasy, Arthur W. Toga, Michael Czisch, Florian Holsboer, Ryota Kanai, Nic J.A. van der Wee, Peter Kochunov, Perminder S. Sachdev, Andre F. Marquand, Christian Enzinger, Anderson M. Winkler, David Geffen School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California-University of California, Metacohorts Consortium, Institut Gilbert-Laustriat : Biomolécules, Biotechnologie, Innovation Thérapeutique, Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), INSERM Research Center for Epidemiology and Biostatistics (U897) Team Neuroepidemiology, Bordeaux, France College of Health Sciences, University of Bordeaux, Bordeaux, France, sans affiliation, QIMR Berghofer Medical Research Institute, University of Washington [Seattle], Department of Psychiatry, Donders Centre for Neuroscience, Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen], Department of Human Genetics, Radboud University Medical Center [Nijmegen], Institute of Psychiatry, Psychology & Neuroscience, King's College London, King‘s College London, University Medical Center [Utrecht], Department of Neurology and Neurosurgery [Montreal], Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada]-McGill University = Université McGill [Montréal, Canada], Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland (RCSI), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Sahlgrenska University Hospital [Gothenburg], Department of Biomedical Engineering, Illinois Institute of Technology (IIT), Rush University Medical Center [Chicago], University of Edinburgh, Lagos State University (LASU), Assistance Publique - Hôpitaux de Marseille (APHM), University of Oslo (UiO), Department of medical sciences, Uppsala University-Molecular Medicine-Science for Life Laboratory, John P. Hussman Institute for Human Genomics, University of Miami Leonard M. Miller School of Medicine (UMMSM), Boston University School of Medicine (BUSM), Boston University [Boston] (BU), Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud university [Nijmegen], Neurology Department, University of California, Davis (UCDavis-Neuro), University of California [Davis] (UC Davis), Douglas Mental Health University Institute, McGill University = Université McGill [Montréal, Canada], Université Lille Nord de France (COMUE), Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 (RID-AGE), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Groupe d'imagerie neurofonctionnelle (GIN), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), MetaGenoPolis, Institut National de la Recherche Agronomique (INRA), Haukeland University Hospital, University of Bergen (UiB), Ames Laboratory [Ames, USA], Iowa State University (ISU)-U.S. Department of Energy [Washington] (DOE), Johns Hopkins University School of Medicine [Baltimore], Language and Genetics Department [Nijmegen], Max Planck Institute for Psycholinguistics, Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, International Max Planck Research School for Language Sciences (IMPRS ), Laboratory of Neuro Imaging [Los Angeles] (LONI), Department of Mathematics [UCLA], Georgia Institute of Technology [Atlanta], Medizinische Klinik, Universitätsklinikum Heidelberg, Heidelberg, Germany, Greifswald University Hospital, Beijing Normal University (BNU), Aalborg University [Denmark] (AAU), UCL Institute of Neurology and Epilepsy Society, Department of Medicine, Imperial College London, Service d'Endocrinologie [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen 37075, Germany, Medstar Research Institute, Clinical And Experimental Epilepsy, Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia, Department of Genomics, Life and Brain Center, University of Bonn, Institute of Human Genetics, Department of Biomedicine and the Centre for Integrative Sequencing, Aarhus University [Aarhus], VU University Medical Center [Amsterdam], Indiana University School of Medicine, Indiana University System, Indiana Alzheimer Disease Center, Indiana University System-Indiana University System, Institute of Food & Health, University College Dublin, University College Dublin [Dublin] (UCD), Department of Neurology, Statistical Genetics Group, Respiratory Epidemiology and Public Health, Imperial College London-School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU)-MRC-HPA Centre for Environment and Health, Centro de Investigación Biomédica en Red Salud Mental [Madrid] (CIBER-SAM), Karakter Child and Adolescent Psychiatry University Centre [Nijmegen], Department of Neurology [Austria], Medical University Graz, Institut Parisien de Chimie Moléculaire (IPCM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Max Planck Institute of Psychiatry, Max-Planck-Gesellschaft, INSERM, Neuroepidemiology U708, Bordeaux, France, Department of Neurosciences [San Diego], University of California [San Diego] (UC San Diego), Department of Cognitive Sciences [San Diego], Wuhan University [China], Plymouth University, Dpt of Psychiatry [New Haven], Yale University School of Medicine, Queensland Institute of Medical Research, School of Psychology, University of Queensland, Brisbane 4072, Australia, University of Queensland [Brisbane], Centre for Advanced Imaging, University of Queensland, Brisbane 4072, Australia, Gènes, Synapses et Cognition (CNRS - UMR3571 ), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL, Institute of Neurology [London], Department of Genetics, King Faisal Specialist Hospital and Research Centre, Depts of Radiology, Leiden University Medical Center (LUMC), University of Twente [Netherlands], Department of Psychiatry and Human Behavior [Irvine], University of California [Irvine] (UCI), RCMG Ghent, Universiteit Gent = Ghent University [Belgium] (UGENT), Centre épigénétique et destin cellulaire (EDC (UMR_7216)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Department of Psychology [Oslo], Faculty of Social Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO), German Research Center for Neurodegenerative Diseases - Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), National Institutes of Health [Bethesda] (NIH), Biospective [Montréal], KG Jebsen Centre for Psychosis Research, University of Oslo (UiO)-Institute of Clinical Medicine-Oslo University Hospital [Oslo], Southwest Foundation for Biomedical Research, Department of Psychiatry and National Ageing Research Institute, University of Melbourne, Université de Lille, Department of Clinical Genetics, Department of Experimental Physics, National University of Ireland Maynooth (Maynooth University), Texas Biomedical Research Institute [San Antonio, TX], The University of Texas Health Science Center at Houston (UTHealth), 849 Department of Human Genetics, Centre for Healthy Brain Ageing, University of New South Wales [Sydney] (UNSW), Dementia Collaborative Research Centre, Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht 3584 CX, The Netherlands, Department of Psychiatry [Boston], Massachusetts General Hospital [Boston], N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119333, Russia, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Department of Electrical and Computer Engineering [Albuquerque] (ECE Department), The University of New Mexico [Albuquerque], The Mind Research Network, Human Genetics Branch, National Institutes of Health [Bethesda] (NIH)-National Institute of Mental Health (NIMH), Division of Molecular and Cellular Therapeutics, Northwestern Polytechnical University [Xi'an] (NPU), Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Division of Medical Genetics, University of Basel (Unibas), Cell Biology and Gene Expression Section, National Institute of Health, Bethesda, Trinity College Dublin-St. James's Hospital, Neuropsychiatric Genetics Research Group, Trinity College Dublin, Bijvoet Center of Biomolecular Research [Utrecht], Utrecht University [Utrecht], York Structural Biology Laboratory, Department of Chemistry, University of York [York, UK], Harvard Medical School [Boston] (HMS), Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Program in Translational NeuroPsychiatric Genomics, Brigham and Women's Hospital [Boston], School of Psychology, University of Queensland, Epidémiologie et Biostatistique [Bordeaux], Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Neurology Division, Beaumont Hospital, Dublin 9, Ireland, Beaumont Hospital, Hôpital Erasme [Bruxelles] (ULB), Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB)-Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB), Laboratory of Neurogenetics, Department of Genomics, Biological Psychology, Neuroscience Campus Amsterdam & EMGO Institute for Health and Care Research, VU University & VU Medical Center, Amsterdam 1081 BT, The Netherlands, Institut des Sciences du Mouvement Etienne Jules Marey (ISM), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), École des hautes études en sciences sociales (EHESS), Department of Radiology, Mayo Clinic, Robertson Centre for Biostatistics, University of Glasgow, Human Genetics Center, Department of Medical and Molecular Genetics, Rensselaer Polytechnic Institute (RPI), Department of Physics, Okayama University, Okayama University, University of New Haven [Connecticut], Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS), Public Health Genomics Unit, Department of Mathematics, University of Colorado, University of Colorado [Boulder], Faculty of Medicine, University of Iceland [Reykjavik], Icelandic Heart Association, Kopavogur, Iceland., University of Science, VNU-HCM, University Medical Center Groningen [Groningen] (UMCG), Neuronal Plasticity / Mouse Behaviour, Interfaculty Institute for Genetics and Functional Genomics, Universität Greifswald - University of Greifswald, Department of Medical Genetics, HMNC Brain Health, University of Oxford [Oxford], University of Florida [Gainesville] (UF), Göteborgs Universitet (GU), Department of Medicine, Clinical Pharmacology Unit, Karolinska University Hospital [Stockholm], Brain Centre Rudolf Magnus [Utrecht], School of Psychology, University of Sussex, Brighton BN1 9QH, UK, University of Sussex, Institute of Cognitive Neuroscience, University College of London [London] (UCL), Medical University of Łódź (MUL), Mayo Clinic [Rochester], University of Maryland School of Medicine, University of Maryland System-University of Maryland System-University of Maryland [Baltimore County] (UMBC), University of Maryland System, School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Université de Cergy Pontoise (UCP), Université Paris-Seine, Lymphocyte Cell Biology Unit, Laboratory of Genetics, Psychiatry Institute, Unité de Nutrition Humaine (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Department of Health and Human Services, Department of Life Sciences, Mathematical Sciences Institute (MSI), Australian National University (ANU), Centre for Advanced Imaging, Institute of Gerontology and Geriatrics, Università degli Studi di Perugia (UNIPG), Division of Mental Health and Addiction, Oslo University Hospital [Oslo], Institute of Clinical Medicine [Oslo], Faculty of Medicine [Oslo], Medical Faculty [Mannheim], Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Genetic Epidemiology Unit, University of Mississippi Medical Center (UMMC), Translational Centre for Regenerative Medicine (TRM), Department of Cell Therapy, Universität Leipzig [Leipzig]-Universität Leipzig [Leipzig], Institute of Clinical Chemistry and Laboratory Medicine, Department of Statistics [Coventry], University of Warwick [Coventry], Delft University of Technology (TU Delft), Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Health Science, Division of Health and Rehabilitation, Luleå University of Technology (LUT), Osaka University [Osaka], University Medical Center [Utrecht]-Brain Center Rudolf Magnus, University of Nottingham, UK (UON), McConnell Brain Imaging Centre (MNI), Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Canada, Psychiatry and Human Behavior, University of California, Irvine, California 92617, USA, Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health [Mannheim], Medical Faculty [Mannheim]-Medical Faculty [Mannheim], Cedars-Sinai Medical Center, Politecnico di Milano [Milan] (POLIMI), University of Applied Sciences [Munich], Dpt of Pharmacology and Personalised Medicine [Maastricht], Maastricht University [Maastricht], Genetics of Mental Illness and Brain Function, Neuroscience Research Australia, Department of neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland, Department of neurology, University of Eastern Finland-University Hospital of Kuopio-University of Eastern Finland-University Hospital of Kuopio, Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney 2052, Australia, National Institute of Aging, 3rd Department of Neurology, Aristotle University of Thessaloniki-General Hospital of Thessaloniki George Papanikolaou, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED), Université Bordeaux Segalen - Bordeaux 2, Genentech, Inc. [San Francisco], Psychiatry and Leiden Institute for Brain and Cognition, Epidémiologie et analyses en santé publique : risques, maladies chroniques et handicaps (LEASP), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Institute for Community Medicine, Berlin School of Mind and Brain [Berlin], Humboldt-Universität zu Berlin, Carver College of Medicine [Iowa City], University of Iowa [Iowa City]-University of Iowa [Iowa City], Centre for Population Health Sciences, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet [Stockholm], University of Pretoria [South Africa], University of Missouri [Columbia] (Mizzou), University of Missouri System, Department of Psychiatry and Psychotherapy, HELIOS Klinikum Stralsund Hanseatic-Greifswald University Hospital, Donders Center for Cognitive Neuroimaging, Donders Centre for Cognitive Neuroimaging, Radboud university [Nijmegen]-Radboud university [Nijmegen], University of Southern California (USC), University of California (UC)-University of California (UC), Sans affiliation, Radboud University [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud University [Nijmegen]-Radboud University Medical Center [Nijmegen], University of Toronto, Radboud University [Nijmegen], Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Universität Bonn = University of Bonn, Department of Neurosciences [Univ California San Diego] (Neuro - UC San Diego), School of Medicine [Univ California San Diego] (UC San Diego), University of California (UC)-University of California (UC)-University of California [San Diego] (UC San Diego), Department of Cognitive Sciences [Univ California San Diego] (CogSci - UC San Diego), Yale School of Medicine [New Haven, Connecticut] (YSM), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), King Faisal Specialist Hospital and Research Centre (KFSH & RC), Universiteit Leiden-Universiteit Leiden, University of Twente, University of California [Irvine] (UC Irvine), Universiteit Gent = Ghent University (UGENT), Centre épigénétique et destin cellulaire (EDC), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], University of Oxford, University of Maryland [Baltimore County] (UMBC), University of Maryland System-University of Maryland System-University of Maryland School of Medicine, Università degli Studi di Perugia = University of Perugia (UNIPG), University Hospital Mannheim | Universitätsmedizin Mannheim, Universität Leipzig-Universität Leipzig, University Hospital Mannheim | Universitätsmedizin Mannheim-University Hospital Mannheim | Universitätsmedizin Mannheim, University of Eastern Finland, Universiteit Leiden, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Humboldt University Of Berlin, Radboud University [Nijmegen]-Radboud University [Nijmegen], School of Medicine / Clinical Medicine, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Other departments, Adult Psychiatry, ARD - Amsterdam Reproduction and Development, Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen], McGill University-McGill University, Sahlgrenska University Hospital, McGill University, Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement (Inserm U1167 - RID-AGE - Institut Pasteur), University of Bergen (UIB), Iowa State University (ISU)-U.S. Department of Energy (DOE), Beijing Normal University, Karakter Child and Adolescent Psychiatry University Center Nijmegen, Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Gènes, Synapses et Cognition, Ghent University [Belgium] (UGENT), National University of Ireland Maynooth (NUIM), Texas Biomedical Research Institute [San Antonio, Texas], Bijvoet Center of Biomolecular Research, Université Libre de Bruxelles [Bruxelles] (ULB)-Hôpital Erasme (Bruxelles), Okayama University [Okayama], University of Florida [Gainesville], Institut National de la Recherche Agronomique (INRA)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Clermont Université, Charité - Universitätsmedizin Berlin / Charite - University Medicine Berlin, Aristotle University of Thessaloniki-G. Papanikolaou Hospital, Humboldt Universität zu Berlin, University of Missouri [Columbia], Epidemiology, Radiology & Nuclear Medicine, Medical Informatics, Internal Medicine, Neurology, Biological Psychology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, Cognitive Psychology, IBBA, APH - Personalized Medicine, Amsterdam Neuroscience - Brain Imaging, MUMC+: DA Klinische Genetica (5), Klinische Genetica, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Anatomy and neurosciences, APH - Digital Health, Hal, GIN, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, Universidad de Cantabria, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées

Subjects
Male, Netherlands Twin Register (NTR), Genome-wide association study, 600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit, Spatial memory, 0302 clinical medicine, 610 Medicine & health, Child, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Episodic memory, Aged, 80 and over, Subiculum, 220 Statistical Imaging Neuroscience, COMMON VARIANTS, ALZHEIMERS-DISEASE, ddc:500, Alzheimer's disease, genetics [Methionine Sulfoxide Reductases], Science, Locus (genetics), genetics [Protein-Serine-Threonine Kinases], Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Alzheimer Disease, ASTN2 protein, human, Humans, GENOME-WIDE ASSOCIATION, METAANALYSIS, Aged, Glycoproteins, Dentate gyrus, MEMORY, medicine.disease, R1, 030104 developmental biology, nervous system, Genetic Loci, MSRB3 protein, human, 030217 neurology & neurosurgery, 0301 basic medicine, General Physics and Astronomy, genetics [Alzheimer Disease], Hippocampal formation, Hippocampus, Genome-wide association studies, Taugasjúkdómar, Cohort Studies, DPP4 protein, human, TEMPORAL-LOBE EPILEPSY, BRAIN-REGIONS, genetics [Dipeptidyl Peptidase 4], genetics [Nerve Tissue Proteins], Genetics, Multidisciplinary, Neurodegenerative diseases, BIPOLAR DISORDER, Organ Size, Middle Aged, SUBFIELDS, Protein-Serine-Threonine Kinases, growth & development [Hippocampus], Female, genetics [Glycoproteins], Microtubule-Associated Proteins, Medical Genetics, Neuroinformatics, Adult, genetics [Microtubule-Associated Proteins], Adolescent, SUSCEPTIBILITY LOCI, Dipeptidyl Peptidase 4, genetics [Protein Serine-Threonine Kinases], Nerve Tissue Proteins, Bioinformatik och systembiologi, Protein Serine-Threonine Kinases, Biology, physiopathology [Alzheimer Disease], 150 000 MR Techniques in Brain Function, Young Adult, MAST4 protein, human, medicine, Journal Article, Erfðafræði, Genetic Predisposition to Disease, ddc:610, Medicinsk genetik, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Bioinformatics and Systems Biology, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, Rannsóknir, General Chemistry, Methionine Sulfoxide Reductases, 150 Psychology, Genome-Wide Association Study
Abstract

The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (rg=-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness., published version, peerReviewed

Published
2017

44. GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report form the COGENT consortium

Author

Anna C. Need, Katri Räikkönen, Edythe D. London, Jari Lahti, Aiden Corvin, Antony Payton, Russell A. Poldrack, Nikolaos Smyrnis, Matthew C. Keller, Ian J. Deary, Aarno Palotie, Deborah K. Attix, Srdjan Djurovic, Elisabeth Widen, John M. Starr, Fred W. Sabb, Kjetil Sundet, Stella G. Giakoumaki, David C. Liewald, Daniel R. Weinberger, Neil Pendleton, Panos Bitsios, Jin Yu, Ole A. Andreassen, Bettina Konte, Alex Hatzimanolis, William E R Ollier, Johan G. Eriksson, Ina Giegling, Emma Knowles, Dwight Dickinson, Elizabeth T. Cirulli, David C. Glahn, Nelson A. Freimer, Panos Roussos, Aristotle N. Voineskos, Thomas Espeseth, Joey W. Trampush, Dan E. Arking, Gary Davies, Nicholas C. Stefanis, Dan Rujescu, Derek W. Morris, Gary Donohoe, Vidar M. Steen, S. Le Hellard, Anil K. Malhotra, Astri J. Lundervold, Todd Lencz, Ornit Chiba-Falek, Andrea Christoforou, Matthew A. Scult, Emily Drabant Conley, Michael A Horan, Ingrid Melle, M. Gill, Robert M. Bilder, Katherine E. Burdick, Ivar Reinvang, M. L. Z. Yang, Eliza Congdon, Tyrone D. Cannon, Richard E. Straub, Pamela DeRosse, Ahmad R. Hariri, Dimitrios Avramopoulos, Medicum, Behavioural Sciences, Institute for Molecular Medicine Finland, Elisabeth Ingrid Maria Widen / Principal Investigator, Clinicum, Aarno Palotie / Principal Investigator, Department of Medical and Clinical Genetics, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, Helsinki Collegium for Advanced Studies, Developmental Psychology Research Group, Genomics of Neurological and Neuropsychiatric Disorders, and Genomic Discoveries and Clinical Translation

Subjects
0301 basic medicine, Male, Multifactorial Inheritance, Genome-wide association study, Cathie Marsh Institute, Medical and Health Sciences, 3124 Neurology and psychiatry, 0302 clinical medicine, Cognition, Gene Frequency, 2.1 Biological and endogenous factors, provides insights, Aetiology, Genetics, Psychiatry, scottish mental survey, 11 Medical And Health Sciences, Single Nucleotide, Biological Sciences, Middle Aged, educational-attainment, developmental delay, Psychiatry and Mental health, uk biobank n=112151, Mental Health, intellectual disability, Female, Psychology, Corrigendum, Biotechnology, Adult, ability, 515 Psychology, human intelligence, European Continental Ancestry Group, Neurocognitive Disorders, Single-nucleotide polymorphism, Basic Behavioral and Social Science, Polymorphism, Single Nucleotide, White People, 17 Psychology And Cognitive Sciences, 03 medical and health sciences, Cellular and Molecular Neuroscience, Clinical Research, Behavioral and Social Science, Journal Article, SNP, Humans, Genetic Predisposition to Disease, Allele, Polymorphism, Molecular Biology, Allele frequency, Alleles, Genetic Association Studies, Genetic association, Prevention, Human Genome, Psychology and Cognitive Sciences, Genetic Variation, 06 Biological Sciences, Minor allele frequency, 030104 developmental biology, executive function, Genetic Loci, ResearchInstitutes_Networks_Beacons/cathie_marsh_institute, genome-wide association, 1182 Biochemistry, cell and molecular biology, Immediate Communication, Neurocognitive, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

The complex nature of human cognition has resulted in cognitive genomics lagging behind many other fields in terms of gene discovery using genome-wide association study (GWAS) methods. In an attempt to overcome these barriers, the current study utilized GWAS meta-analysis to examine the association of common genetic variation (~8M single-nucleotide polymorphisms (SNP) with minor allele frequency ⩾1%) to general cognitive function in a sample of 35 298 healthy individuals of European ancestry across 24 cohorts in the Cognitive Genomics Consortium (COGENT). In addition, we utilized individual SNP lookups and polygenic score analyses to identify genetic overlap with other relevant neurobehavioral phenotypes. Our primary GWAS meta-analysis identified two novel SNP loci (top SNPs: rs76114856 in the CENPO gene on chromosome 2 and rs6669072 near LOC105378853 on chromosome 1) associated with cognitive performance at the genome-wide significance level (P−8). Gene-based analysis identified an additional three Bonferroni-corrected significant loci at chromosomes 17q21.31, 17p13.1 and 1p13.3. Altogether, common variation across the genome resulted in a conservatively estimated SNP heritability of 21.5% (s.e.=0.01%) for general cognitive function. Integration with prior GWAS of cognitive performance and educational attainment yielded several additional significant loci. Finally, we found robust polygenic correlations between cognitive performance and educational attainment, several psychiatric disorders, birth length/weight and smoking behavior, as well as a novel genetic association to the personality trait of openness. These data provide new insight into the genetics of neurocognitive function with relevance to understanding the pathophysiology of neuropsychiatric illness.

Published
2017

45. Polygenic Risk for Schizophrenia Associated With Working Memory-related Prefrontal Brain Activation in Patients With Schizophrenia and Healthy Controls

Author

Thomas Espeseth, Ingrid Melle, Ingrid Agartz, Srdjan Djurovic, Karolina Kauppi, Ole A. Andreassen, Morten Mattingsdal, Lars T. Westlye, Martin Tesli, Christine L. Brandt, Francesco Bettella, and Torill Ueland

Subjects
Adult, Male, Risk, Multifactorial Inheritance, Brain activity and meditation, Prefrontal Cortex, Single-nucleotide polymorphism, Genome-wide association study, Bioinformatics, Polymorphism, Single Nucleotide, medicine, Humans, Prefrontal cortex, medicine.diagnostic_test, Working memory, Regular Article, Middle Aged, medicine.disease, Magnetic Resonance Imaging, Psychiatry and Mental health, Memory, Short-Term, Frontal lobe, Schizophrenia, Female, Psychology, Functional magnetic resonance imaging, Neuroscience, Genome-Wide Association Study
Abstract

Schizophrenia is a highly heritable and polygenic disease, and identified common genetic variants have shown weak individual effects. Many studies have reported altered working memory (WM)-related brain activation in schizophrenia, preferentially in the frontal lobe. Such differences in brain activations could reflect inherited alterations possibly involved in the disease etiology, or rather secondary disease-related mechanisms. The use of polygenic risk scores (PGRS) based on a large number of risk polymorphisms with small effects is a valuable approach to examine the effect of cumulative genetic risk on brain functioning. This study examined the impact of cumulative genetic risk for schizophrenia on WM-related brain activations, assessed with functional magnetic resonance imaging. For each participant (63 schizophrenia patients and 118 healthy controls), we calculated a PGRS for schizophrenia based on 18 862 single-nucleotide polymorphism in a large multicenter genome-wide association study including 9146 schizophrenia patients and 12 111 controls, performed by the Psychiatric Genomics Consortium. As expected, the PGRS was significantly higher in patients compared with healthy controls. Further, the PGRS was related to differences in frontal lobe brain activation between high and low WM demand. Specifically, even in absence of main effects of diagnosis, increased PGRS was associated with decreased activation difference in the right middle-superior prefrontal cortex (BA 10/11) and the right inferior frontal gyrus (BA 45). This effect was seen in both cases and controls, and was not influenced by sex, age, or task performance. The findings support the notion of dysregulation of frontal lobe functioning as an inherited vulnerability factor in schizophrenia.

Published
2014

46. GWAS-based pathway analysis differentiates between fluid and crystallized intelligence

Author

Albert Tenesa, Michael A. Horan, Astri J. Lundervold, Ian J. Deary, Sudheer Giddaluru, Stefan Herms, Manuel Mattheisen, Srdjan Djurovic, Vidar M. Steen, John M. Starr, Ivar Reinvang, Thomas Espeseth, D. C. Liewald, Andrea Christoforou, Carla P. D. Fernandes, Antony Payton, Neil Pendleton, Sarah E. Harris, William Ollier, Per Hoffman, S. Le Hellard, Sven Cichon, Gary Davies, and Paul Haggarty

Subjects
Adult, Genetic Markers, Male, Adolescent, Fluid and crystallized intelligence, Intelligence, Genome-wide association study, Computational biology, Biology, Cognitive neuroscience, Fluid intelligence, Polymorphism, Single Nucleotide, Behavioral Neuroscience, Cognition, ddc:570, Genetics, Humans, GWAS, fluid intelligence, Aged, Genetic association, Aged, 80 and over, gene-based analysis, Genome, Human, Long-Term Synaptic Depression, Original Articles, Middle Aged, Pathway analysis, Genetic architecture, Crystallized intelligence, pathway analysis, Neurology, Female, Metabolic Networks and Pathways, Genome-Wide Association Study
Abstract

Cognitive abilities vary among people. About 40–50% of this variability is due to general intelligence (g), which reflects the positive correlation among individuals' scores on diverse cognitive ability tests. g is positively correlated with many life outcomes, such as education, occupational status and health, motivating the investigation of its underlying biology. In psychometric research, a distinction is made between general fluid intelligence (gF) – the ability to reason in novel situations – and general crystallized intelligence (gC) – the ability to apply acquired knowledge. This distinction is supported by developmental and cognitive neuroscience studies. Classical epidemiological studies and recent genome-wide association studies (GWASs) have established that these cognitive traits have a large genetic component. However, no robust genetic associations have been published thus far due largely to the known polygenic nature of these traits and insufficient sample sizes. Here, using two GWAS datasets, in which the polygenicity of gF and gC traits was previously confirmed, a gene- and pathway-based approach was undertaken with the aim of characterizing and differentiating their genetic architecture. Pathway analysis, using genes selected on the basis of relaxed criteria, revealed notable differences between these two traits. gF appeared to be characterized by genes affecting the quantity and quality of neurons and therefore neuronal efficiency, whereas long-term depression (LTD) seemed to underlie gC. Thus, this study supports the gF–gC distinction at the genetic level and identifies functional annotations and pathways worthy of further investigation. publishedVersion

Published
2014

47. Longitudinal change in working memory as a function of APOE genotype in midlife and old age

Author

Thomas Espeseth, Ivar Reinvang, Pamela M. Greenwood, Mingkuan Lin, and Raja Parasuraman

Subjects
Adult, Male, Apolipoprotein E, Gerontology, Aging, Apolipoprotein E4, Prodromal Symptoms, Article, Prodrome, Arts and Humanities (miscellaneous), Alzheimer Disease, Developmental and Educational Psychology, medicine, Humans, Longitudinal Studies, Effects of sleep deprivation on cognitive performance, Allele, Cognitive decline, General Psychology, Aged, Aged, 80 and over, Cognition, General Medicine, Middle Aged, medicine.disease, Middle age, Cross-Sectional Studies, Memory, Short-Term, Female, Alzheimer's disease, Psychology, Clinical psychology
Abstract

Previous investigations into whether the APOE-ε4 allele exerts cognitive effects at midlife have been inconclusive. We have advanced a “cognitive phenotype” hypothesis arguing that the ε4 allele of the apolipoprotein E gene (APOE) is associated with lower efficiency of neuronal plasticity thereby resulting in poorer cognitive performance independently of the pathology of Alzheimer’s disease (Greenwood et al., 2005). This hypothesis is best tested at midlife, prior to the neuron loss associated with AD diagnosis. This hypothesis predicts that the ε4 allele would alter cognition regardless of age through plasticity mechanisms, but would not induce longitudinal decline in midlife. The alternative “prodrome” hypothesis predicts that the APOE-ε4 allele would be associated with longitudinal cognitive decline as early as midlife due to prodromal effects of AD. We tested these hypotheses with a working memory task in a large cross-sectional sample of cognitively screened APOE-ε4 carriers and non-carriers and also in a small longitudinal sample over 3 years. The sample was divided into middle-aged (mean age 50, range 40-59) and older (mean age 69, range 60-84) individuals. Cross-sectionally, we observed that older, but not middle-aged, APOE-ε4 carriers had lower accuracy than ε4 non-carriers, mainly under the hardest discrimination condition. Longitudinally, we observed increases in accuracy in middle-aged APOE-ε4 carriers, suggesting a cognitive phenotype that includes ability to benefit from experience. We observed a longitudinal decrease in older APOE-ε4 carriers, suggesting an AD prodrome.

Published
2014

48. A randomised crossover comparison of mouth-to-face-shield ventilation and mouth-to-pocket-mask ventilation by surf lifeguards in a manikin

Author

Kasper Adelborg, A. Wolff, Bo Løfgren, K. Bjørnshave, E. Espeseth, and Martin Bødtker Mortensen

Subjects
Adult, Male, Face shield, medicine.medical_specialty, business.product_category, Injury control, Accident prevention, medicine.medical_treatment, Poison control, Manikins, law.invention, Near Drowning/therapy, Near Drowning, Respiration, Artificial/instrumentation, stomatognathic system, law, Tidal Volume, medicine, Humans, Cardiopulmonary resuscitation, Cardiopulmonary Resuscitation/instrumentation, Tidal volume, Mouth, Cross-Over Studies, Pocket mask, business.industry, Masks, Equipment Design, Respiration, Artificial, Cardiopulmonary Resuscitation, Surgery, Anesthesiology and Pain Medicine, Face, Anesthesia, Ventilation (architecture), Female, business
Abstract

Thirty surf lifeguards (mean (SD) age: 25.1 (4.8) years; 21 male, 9 female) were randomly assigned to perform 2 × 3 min of cardiopulmonary resuscitation on a manikin using mouth-to-face-shield ventilation (AMBU LifeKey) and mouth-to-pocket-mask ventilation (Laerdal Pocket Mask). Interruptions in chest compressions, effective ventilation (visible chest rise) ratio, tidal volume and inspiratory time were recorded. Interruptions in chest compressions per cycle were increased with mouth-to-face-shield ventilation (mean (SD) 8.6 (1.7) s) compared with mouth-to-pocket-mask ventilation (6.9 (1.2) s, p < 0.0001). The proportion of effective ventilations was less using mouth-to-face-shield ventilation (199/242 (82%)) compared with mouth-to-pocket-mask ventilation (239/240 (100%), p = 0.0002). Tidal volume was lower using mouth-to-face-shield ventilation (mean (SD) 0.36 (0.20) l) compared with mouth-to-pocket-mask ventilation (0.45 (0.20) l, p = 0.006). No differences in inspiratory times were observed between mouth-to-face-shield ventilation and mouth-to-pocket-mask ventilation. In conclusion, mouth-to-face-shield ventilation increases interruptions in chest compressions, reduces the proportion of effective ventilations and decreases delivered tidal volumes compared with mouth-to-pocket-mask ventilation.

Published
2014

49. Proactive and reactive modes of cognitive control can operate independently and simultaneously

Author

Thomas Hagen, Thomas Espeseth, and Verónica Mäki-Marttunen

Subjects
Adult, Male, media_common.quotation_subject, Control (management), Experimental and Cognitive Psychology, Context (language use), Neuropsychological Tests, 050105 experimental psychology, Task (project management), Young Adult, 03 medical and health sciences, Web-based experiments, Cognition, 0302 clinical medicine, Reward, Arts and Humanities (miscellaneous), Perception, Reaction Time, Developmental and Educational Psychology, Humans, Attention, 0501 psychology and cognitive sciences, Situational ethics, media_common, Motivation, 05 social sciences, General Medicine, Female, Psychology, 030217 neurology & neurosurgery, Cognitive load, Cognitive psychology
Abstract

Cognitive control enables optimal biasing of attention, perception, and actions in the service of mental or behavioral goals. To understand the variability of applied cognitive control, we need to unravel the relation between two underlying mechanisms: proactive and reactive modes. During proactive cognitive control, goal-relevant information is selected before the occurrence of a cognitively demanding event, and is actively maintained for as long as required by the task. During reactive mode, cognitive control is transiently activated only after the cognitively demanding event has occurred. Mechanistically, proactive and reactive control modes may be at least semi-independent and engaged simultaneously, but this has so far not been demonstrated empirically. Situational demands and an individual's cognitive capacity and motivation may bias behavior towards one or the other mode. Reward induces more proactive processing in the AX-CPT task, whereas context load induces reactive processing. We combined these manipulations to investigate the extent to which proactive and reactive control modes can operate independently and simultaneously. The results replicated already published effects of reward incentives and context load. Most importantly, these effects were essentially independent of each other, suggesting that proactive and reactive cognitive control modes depend on separate information-processing and neural mechanisms. The results also show that while proactive processing is influenced by reward, reactive processing seems independent of such factor. These findings have implications for our understanding of the structure of cognitive control and cognitive motivation, and are relevant for the design of interventions to improve cognitive control in various developmental and neuropsychiatric groups.

Published
2019

50. A naphthyridine carboxamide provides evidence for discordant resistance between mechanistically identical inhibitors of HIV-1 integrase

Author

Hazuda, D J., Anthony, N J., Gomez, R P., Jolly, S M., Wai, J S., Zhuang, L, Fisher, T E., Embrey, M, Guare, J P., Jr., Egbertson, M S., Vacca, JP., Huff, J R., Felock, PJ., Witmer, M V., Stillmock, K A., Danovich, R, Grobler, J, Miller, M D., Espeseth, AS., Jin, Chen, I-W, Lin, J H., Kassahun, K, Ellis, J D., Wong, B K., W, Pearson, PG., Schleif, WA., Cortese, Emini, E, Summa V, Holloway, M. K, Young, S D, Hazuda, D, J., Anthony, N, J., Gomez, R, P., Jolly, S, M., Wai, J, S., Zhuang, L, Fisher, T, E., Embrey, M, Guare, J, P., J, R., Egbertson, M, S., Vacca, Huff, Felock, P, J., Witmer, M, V., Stillmock, K, A., Danovich, R, Grobler, J, Miller, M, D., Espeseth, A, S., Jin, Chen, I-W, Lin, J, H., Kassahun, K, Ellis, J, D., Wong, B, K., Xu, W, Pearson, P, G., Schleif, W, A., Cortese, Emini, E, Summa, V, Holloway, M., K, Young, and S, D

Subjects
Male, medicine.drug_class, T-Lymphocytes, Virus Integration, Integrase inhibitor, HIV Infections, Carboxamide, HIV Integrase, Biology, Dogs, Drug Resistance, Viral, medicine, Animals, Humans, HIV Integrase Inhibitors, Naphthyridines, Binding site, Cells, Cultured, chemistry.chemical_classification, Genetics, Multidisciplinary, Biological Sciences, Ligand (biochemistry), Macaca mulatta, Drug Resistance, Multiple, Rats, Integrase, Enzyme, chemistry, Drug development, HIV-2, HIV-1, Mutagenesis, Site-Directed, biology.protein, Simian Immunodeficiency Virus, Pharmacophore
Abstract

The increasing incidence of resistance to current HIV-1 therapy underscores the need to develop antiretroviral agents with new mechanisms of action. Integrase, one of three viral enzymes essential for HIV-1 replication, presents an important yet unexploited opportunity for drug development. We describe here the identification and characterization of L-870,810, a small-molecule inhibitor of HIV-1 integrase with potent antiviral activity in cell culture and good pharmacokinetic properties. L-870,810 is an inhibitor with an 8-hydroxy-(1,6)-naphthyridine-7-carboxamide pharmacophore. The compound inhibits HIV-1 integrase-mediated strand transfer, and its antiviral activity in vitro is a direct consequence of this ascribed effect on integration. L-870,810 is mechanistically identical to previously described inhibitors from the diketo acid series; however, viruses selected for resistance to L-870,810 contain mutations (integrase residues 72, 121, and 125) that uniquely confer resistance to the naphthyridine. Conversely, mutations associated with resistance to the diketo acid do not engender naphthyridine resistance. Importantly, the mutations associated with resistance to each of these inhibitors map to distinct regions within the integrase active site. Therefore, we propose a model of the two inhibitors that is consistent with this observation and suggests specific interactions with discrete binding sites for each ligand. These studies provide a structural basis and rationale for developing integrase inhibitors with the potential for unique and nonoverlapping resistance profiles.

Published
2004

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