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1. Genetic variants for head size share genes and pathways with cancer

Author

Knol, Maria J, Poot, Raymond A, Evans, Tavia E, Satizabal, Claudia L, Mishra, Aniket, Sargurupremraj, Muralidharan, van der Auwera, Sandra, Duperron, Marie-Gabrielle, Jian, Xueqiu, Hostettler, Isabel C, van Dam-Nolen, Dianne HK, Lamballais, Sander, Pawlak, Mikolaj A, Lewis, Cora E, Carrion-Castillo, Amaia, van Erp, Theo GM, Reinbold, Céline S, Shin, Jean, Scholz, Markus, Håberg, Asta K, Kämpe, Anders, Li, Gloria HY, Avinun, Reut, Atkins, Joshua R, Hsu, Fang-Chi, Amod, Alyssa R, Lam, Max, Tsuchida, Ami, Teunissen, Mariël WA, Aygün, Nil, Patel, Yash, Liang, Dan, Beiser, Alexa S, Beyer, Frauke, Bis, Joshua C, Bos, Daniel, Bryan, R Nick, Bülow, Robin, Caspers, Svenja, Catheline, Gwenaëlle, Cecil, Charlotte AM, Dalvie, Shareefa, Dartigues, Jean-François, DeCarli, Charles, Enlund-Cerullo, Maria, Ford, Judith M, Franke, Barbara, Freedman, Barry I, Friedrich, Nele, Green, Melissa J, Haworth, Simon, Helmer, Catherine, Hoffmann, Per, Homuth, Georg, Ikram, M Kamran, Jack, Clifford R, Jahanshad, Neda, Jockwitz, Christiane, Kamatani, Yoichiro, Knodt, Annchen R, Li, Shuo, Lim, Keane, Longstreth, WT, Macciardi, Fabio, Consortium, The Cohorts for Heart and Aging Research in Genomic Epidemiology, Amouyel, Philippe, Arfanakis, Konstantinos, Aribisala, Benjamin S, Bastin, Mark E, Chauhan, Ganesh, Chen, Christopher, Cheng, Ching-Yu, de Jager, Philip L, Deary, Ian J, Fleischman, Debra A, Gottesman, Rebecca F, Gudnason, Vilmundur, Hilal, Saima, Hofer, Edith, Janowitz, Deborah, Jukema, J Wouter, Liewald, David CM, Lopez, Lorna M, Lopez, Oscar, Luciano, Michelle, Martinez, Oliver, Niessen, Wiro J, Nyquist, Paul, Rotter, Jerome I, Rundek, Tatjana, Sacco, Ralph L, Schmidt, Helena, Tiemeier, Henning, Trompet, Stella, van der Grond, Jeroen, Völzke, Henry, Wardlaw, Joanna M, Yanek, Lisa, Yang, Jingyun, and Consortium, The Enhancing NeuroImaging Genetics through Meta-Analysis

Subjects
Biomedical and Clinical Sciences, Neurosciences, Biotechnology, Genetics, Cancer, Stem Cell Research, Human Genome, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Neurological, Humans, Genome-Wide Association Study, Head, Neoplasms, Female, Male, Polymorphism, Single Nucleotide, Genetic Variation, Organ Size, Signal Transduction, Adult, Genetic Predisposition to Disease, Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium, cancer, genetics, genome-wide association study, head circumference, head size, intracranial volume, meta-analysis, Biomedical and clinical sciences
Abstract

The size of the human head is highly heritable, but genetic drivers of its variation within the general population remain unmapped. We perform a genome-wide association study on head size (N = 80,890) and identify 67 genetic loci, of which 50 are novel. Neuroimaging studies show that 17 variants affect specific brain areas, but most have widespread effects. Gene set enrichment is observed for various cancers and the p53, Wnt, and ErbB signaling pathways. Genes harboring lead variants are enriched for macrocephaly syndrome genes (37-fold) and high-fidelity cancer genes (9-fold), which is not seen for human height variants. Head size variants are also near genes preferentially expressed in intermediate progenitor cells, neural cells linked to evolutionary brain expansion. Our results indicate that genes regulating early brain and cranial growth incline to neoplasia later in life, irrespective of height. This warrants investigation of clinical implications of the link between head size and cancer.

Published
2024

4. Interactive impact of childhood maltreatment, depression, and age on cortical brain structure: mega-analytic findings from a large multi-site cohort

Author

Tozzi, Leonardo, Garczarek, Lisa, Janowitz, Deborah, Stein, Dan J, Wittfeld, Katharina, Dobrowolny, Henrik, Lagopoulos, Jim, Hatton, Sean N, Hickie, Ian B, Carballedo, Angela, Brooks, Samantha J, Vuletic, Daniella, Uhlmann, Anne, Veer, Ilya M, Walter, Henrik, Bülow, Robin, Völzke, Henry, Klinger-König, Johanna, Schnell, Knut, Schoepf, Dieter, Grotegerd, Dominik, Opel, Nils, Dannlowski, Udo, Kugel, Harald, Schramm, Elisabeth, Konrad, Carsten, Kircher, Tilo, Jüksel, Dilara, Nenadić, Igor, Krug, Axel, Hahn, Tim, Steinsträter, Olaf, Redlich, Ronny, Zaremba, Dario, Zurowski, Bartosz, Fu, Cynthia HY, Dima, Danai, Cole, James, Grabe, Hans J, Connolly, Colm G, Yang, Tony T, Ho, Tiffany C, LeWinn, Kaja Z, Li, Meng, Groenewold, Nynke A, Salminen, Lauren E, Walter, Martin, Simmons, Alan N, van Erp, Theo GM, Jahanshad, Neda, Baune, Bernhard T, van der Wee, Nic JA, van Tol, Marie-Jose, Penninx, Brenda WJH, Hibar, Derrek P, Thompson, Paul M, Veltman, Dick J, Schmaal, Lianne, and Frodl, Thomas

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Clinical Sciences, Psychology, Pediatric, Neurosciences, Clinical Research, Mental Health, Brain Disorders, Depression, Child Abuse and Neglect Research, Behavioral and Social Science, Violence Research, Aetiology, 2.1 Biological and endogenous factors, Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Brain Cortical Thickness, Case-Control Studies, Cerebral Cortex, Child, Child Abuse, Cohort Studies, Depressive Disorder, Major, Female, Gyrus Cinguli, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Parietal Lobe, Prefrontal Cortex, Temporal Lobe, Young Adult, Childhood maltreatment, cortical thickness, ENIGMA, major depressive disorder, ‘for the ENIGMA-MDD Consortium’, Public Health and Health Services, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

BackgroundChildhood maltreatment (CM) plays an important role in the development of major depressive disorder (MDD). The aim of this study was to examine whether CM severity and type are associated with MDD-related brain alterations, and how they interact with sex and age.MethodsWithin the ENIGMA-MDD network, severity and subtypes of CM using the Childhood Trauma Questionnaire were assessed and structural magnetic resonance imaging data from patients with MDD and healthy controls were analyzed in a mega-analysis comprising a total of 3872 participants aged between 13 and 89 years. Cortical thickness and surface area were extracted at each site using FreeSurfer.ResultsCM severity was associated with reduced cortical thickness in the banks of the superior temporal sulcus and supramarginal gyrus as well as with reduced surface area of the middle temporal lobe. Participants reporting both childhood neglect and abuse had a lower cortical thickness in the inferior parietal lobe, middle temporal lobe, and precuneus compared to participants not exposed to CM. In males only, regardless of diagnosis, CM severity was associated with higher cortical thickness of the rostral anterior cingulate cortex. Finally, a significant interaction between CM and age in predicting thickness was seen across several prefrontal, temporal, and temporo-parietal regions.ConclusionsSeverity and type of CM may impact cortical thickness and surface area. Importantly, CM may influence age-dependent brain maturation, particularly in regions related to the default mode network, perception, and theory of mind.

Published
2020

5. The genetic architecture of the human cerebral cortex

Author

Grasby, Katrina L, Jahanshad, Neda, Painter, Jodie N, Colodro-Conde, Lucía, Bralten, Janita, Hibar, Derrek P, Lind, Penelope A, Pizzagalli, Fabrizio, Ching, Christopher RK, McMahon, Mary Agnes B, Shatokhina, Natalia, Zsembik, Leo CP, Thomopoulos, Sophia I, Zhu, Alyssa H, Strike, Lachlan T, Agartz, Ingrid, Alhusaini, Saud, Almeida, Marcio AA, Alnæs, Dag, Amlien, Inge K, Andersson, Micael, Ard, Tyler, Armstrong, Nicola J, Ashley-Koch, Allison, Atkins, Joshua R, Bernard, Manon, Brouwer, Rachel M, Buimer, Elizabeth EL, Bülow, Robin, Bürger, Christian, Cannon, Dara M, Chakravarty, Mallar, Chen, Qiang, Cheung, Joshua W, Couvy-Duchesne, Baptiste, Dale, Anders M, Dalvie, Shareefa, de Araujo, Tânia K, de Zubicaray, Greig I, de Zwarte, Sonja MC, Braber, Anouk den, Doan, Nhat Trung, Dohm, Katharina, Ehrlich, Stefan, 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, Goldman, Aaron L, Green, Melissa J, 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, Herms, Stefan, Heslenfeld, Dirk J, Ho, New Fei, Hoehn, David, Hoffmann, Per, Holleran, Laurena, Hoogman, Martine, Hottenga, Jouke-Jan, Ikeda, Masashi, Janowitz, Deborah, Jansen, Iris E, Jia, Tianye, Jockwitz, Christiane, Kanai, Ryota, Karama, Sherif, Kasperaviciute, Dalia, Kaufmann, Tobias, Kelly, Sinead, Kikuchi, Masataka, Klein, Marieke, Knapp, Michael, Knodt, Annchen R, Krämer, Bernd, Lam, Max, Lancaster, Thomas M, Lee, Phil H, Lett, Tristram A, Lewis, Lindsay B, Lopes-Cendes, Iscia, Luciano, Michelle, Macciardi, Fabio, Marquand, Andre F, Mathias, Samuel R, Melzer, Tracy R, and Milaneschi, Yuri

Subjects
Biological Sciences, Genetics, Neurosciences, Mental Health, Brain Disorders, Stem Cell Research, 2.1 Biological and endogenous factors, Aetiology, Neurological, Attention Deficit Disorder with Hyperactivity, Brain Mapping, Cerebral Cortex, Cognition, Genetic Loci, Genetic Variation, Genome-Wide Association Study, Humans, Magnetic Resonance Imaging, Organ Size, Parkinson Disease, Alzheimer’s Disease Neuroimaging Initiative, CHARGE Consortium, EPIGEN Consortium, IMAGEN Consortium, SYS Consortium, Parkinson’s Progression Markers Initiative, Enhancing NeuroImaging Genetics through Meta-Analysis Consortium (ENIGMA)—Genetics working group, General Science & Technology
Abstract

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.

Published
2020

6. Genetic architecture of subcortical brain structures in 38,851 individuals

Author

Satizabal, Claudia L, Adams, Hieab HH, Hibar, Derrek P, White, Charles C, Knol, Maria J, Stein, Jason L, Scholz, Markus, Sargurupremraj, Muralidharan, Jahanshad, Neda, Roshchupkin, Gennady V, Smith, Albert V, Bis, Joshua C, Jian, Xueqiu, Luciano, Michelle, Hofer, Edith, Teumer, Alexander, van der Lee, Sven J, Yang, Jingyun, Yanek, Lisa R, Lee, Tom V, Li, Shuo, Hu, Yanhui, Koh, Jia Yu, Eicher, John D, Desrivières, Sylvane, Arias-Vasquez, Alejandro, Chauhan, Ganesh, Athanasiu, Lavinia, Rentería, Miguel E, Kim, Sungeun, Hoehn, David, Armstrong, Nicola J, Chen, Qiang, Holmes, Avram J, den Braber, Anouk, Kloszewska, Iwona, Andersson, Micael, Espeseth, Thomas, Grimm, Oliver, Abramovic, Lucija, Alhusaini, Saud, Milaneschi, Yuri, Papmeyer, Martina, Axelsson, Tomas, Ehrlich, Stefan, Roiz-Santiañez, Roberto, Kraemer, Bernd, Håberg, Asta K, Jones, Hannah J, Pike, G Bruce, Stein, Dan J, Stevens, Allison, Bralten, Janita, Vernooij, Meike W, Harris, Tamara B, Filippi, Irina, Witte, A Veronica, Guadalupe, Tulio, Wittfeld, Katharina, Mosley, Thomas H, Becker, James T, Doan, Nhat Trung, Hagenaars, Saskia P, Saba, Yasaman, Cuellar-Partida, Gabriel, Amin, Najaf, Hilal, Saima, Nho, Kwangsik, Mirza-Schreiber, Nazanin, Arfanakis, Konstantinos, Becker, Diane M, Ames, David, Goldman, Aaron L, Lee, Phil H, Boomsma, Dorret I, Lovestone, Simon, Giddaluru, Sudheer, Le Hellard, Stephanie, Mattheisen, Manuel, Bohlken, Marc M, Kasperaviciute, Dalia, Schmaal, Lianne, Lawrie, Stephen M, Agartz, Ingrid, Walton, Esther, Tordesillas-Gutierrez, Diana, Davies, Gareth E, Shin, Jean, Ipser, Jonathan C, Vinke, Louis N, Hoogman, Martine, Jia, Tianye, Burkhardt, Ralph, Klein, Marieke, Crivello, Fabrice, Janowitz, Deborah, Carmichael, Owen, Haukvik, Unn K, Aribisala, Benjamin S, and Schmidt, Helena

Subjects
Biological Sciences, Genetics, Brain Disorders, Mental Health, Neurosciences, Human Genome, 2.1 Biological and endogenous factors, Neurological, Adult, Aged, Animals, Brain, Cohort Studies, Drosophila melanogaster, Genetic Variation, Genome-Wide Association Study, Humans, Magnetic Resonance Imaging, Middle Aged, Neurodevelopmental Disorders, Organ Size, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.

Published
2019

9. Childhood adversity impacts on brain subcortical structures relevant to depression

Author

Frodl, Thomas, Janowitz, Deborah, Schmaal, Lianne, Tozzi, Leonardo, Dobrowolny, Henrik, Stein, Dan J, Veltman, Dick J, Wittfeld, Katharina, van Erp, Theo GM, Jahanshad, Neda, Block, Andrea, Hegenscheid, Katrin, Völzke, Henry, Lagopoulos, Jim, Hatton, Sean N, Hickie, Ian B, Frey, Eva Maria, Carballedo, Angela, Brooks, Samantha J, Vuletic, Daniella, Uhlmann, Anne, Veer, Ilya M, Walter, Henrik, Schnell, Knut, Grotegerd, Dominik, Arolt, Volker, Kugel, Harald, Schramm, Elisabeth, Konrad, Carsten, Zurowski, Bartosz, Baune, Bernhard T, van der Wee, Nic JA, van Tol, Marie-Jose, Penninx, Brenda WJH, Thompson, Paul M, Hibar, Derrek P, Dannlowski, Udo, and Grabe, Hans J

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Clinical Sciences, Psychology, Mental Health, Violence Research, Serious Mental Illness, Behavioral and Social Science, Depression, Major Depressive Disorder, Brain Disorders, Pediatric, Neurosciences, Aetiology, 2.3 Psychological, social and economic factors, Mental health, Adult, Adult Survivors of Child Adverse Events, Antidepressive Agents, Brain, Depressive Disorder, Major, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Organ Size, Psychiatric Status Rating Scales, Sex Characteristics, Software, Surveys and Questionnaires, Childhood adversity, MRI, Caudate, Hippocampus, ENIGMA, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Clinical and health psychology
Abstract

Childhood adversity plays an important role for development of major depressive disorder (MDD). There are differences in subcortical brain structures between patients with MDD and healthy controls, but the specific impact of childhood adversity on such structures in MDD remains unclear. Thus, aim of the present study was to investigate whether childhood adversity is associated with subcortical volumes and how it interacts with a diagnosis of MDD and sex. Within the ENIGMA-MDD network, nine university partner sites, which assessed childhood adversity and magnetic resonance imaging in patients with MDD and controls, took part in the current joint mega-analysis. In this largest effort world-wide to identify subcortical brain structure differences related to childhood adversity, 3036 participants were analyzed for subcortical brain volumes using FreeSurfer. A significant interaction was evident between childhood adversity, MDD diagnosis, sex, and region. Increased exposure to childhood adversity was associated with smaller caudate volumes in females independent of MDD. All subcategories of childhood adversity were negatively associated with caudate volumes in females - in particular emotional neglect and physical neglect (independently from age, ICV, imaging site and MDD diagnosis). There was no interaction effect between childhood adversity and MDD diagnosis on subcortical brain volumes. Childhood adversity is one of the contributors to brain structural abnormalities. It is associated with subcortical brain abnormalities that are relevant to psychiatric disorders such as depression.

Published
2017

10. Novel genetic loci associated with hippocampal volume.

Author

Hibar, Derrek P, Adams, Hieab HH, Jahanshad, Neda, Chauhan, Ganesh, Stein, Jason L, Hofer, Edith, Renteria, Miguel E, Bis, Joshua C, Arias-Vasquez, Alejandro, Ikram, M Kamran, Desrivières, Sylvane, Vernooij, Meike W, Abramovic, Lucija, Alhusaini, Saud, Amin, Najaf, Andersson, Micael, Arfanakis, Konstantinos, Aribisala, Benjamin S, Armstrong, Nicola J, Athanasiu, Lavinia, Axelsson, Tomas, Beecham, Ashley H, Beiser, Alexa, Bernard, Manon, Blanton, Susan H, Bohlken, Marc M, Boks, Marco P, Bralten, Janita, Brickman, Adam M, Carmichael, Owen, Chakravarty, M Mallar, Chen, Qiang, Ching, Christopher RK, Chouraki, Vincent, Cuellar-Partida, Gabriel, Crivello, Fabrice, Den Braber, Anouk, Doan, Nhat Trung, Ehrlich, Stefan, Giddaluru, Sudheer, Goldman, Aaron L, Gottesman, Rebecca F, Grimm, Oliver, Griswold, Michael E, Guadalupe, Tulio, Gutman, Boris A, Hass, Johanna, Haukvik, Unn K, Hoehn, David, Holmes, Avram J, Hoogman, Martine, Janowitz, Deborah, Jia, Tianye, Jørgensen, Kjetil N, Karbalai, Nazanin, Kasperaviciute, Dalia, Kim, Sungeun, Klein, Marieke, Kraemer, Bernd, Lee, Phil H, Liewald, David CM, Lopez, Lorna M, Luciano, Michelle, Macare, Christine, Marquand, Andre F, Matarin, Mar, Mather, Karen A, Mattheisen, Manuel, McKay, David R, Milaneschi, Yuri, Muñoz Maniega, Susana, Nho, Kwangsik, Nugent, Allison C, Nyquist, Paul, Loohuis, Loes M Olde, Oosterlaan, Jaap, Papmeyer, Martina, Pirpamer, Lukas, Pütz, Benno, Ramasamy, Adaikalavan, Richards, Jennifer S, Risacher, Shannon L, Roiz-Santiañez, Roberto, Rommelse, Nanda, Ropele, Stefan, Rose, Emma J, Royle, Natalie A, Rundek, Tatjana, Sämann, Philipp G, Saremi, Arvin, Satizabal, Claudia L, Schmaal, Lianne, Schork, Andrew J, Shen, Li, Shin, Jean, Shumskaya, Elena, Smith, Albert V, Sprooten, Emma, Strike, Lachlan T, and Teumer, Alexander

Subjects
Hippocampus, Humans, Alzheimer Disease, Genetic Predisposition to Disease, Protein-Serine-Threonine Kinases, Glycoproteins, Microtubule-Associated Proteins, Nerve Tissue Proteins, Organ Size, Cohort Studies, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, Child, Female, Male, Genome-Wide Association Study, Young Adult, Methionine Sulfoxide Reductases, Genetic Loci, Dipeptidyl Peptidase 4, Human Genome, Aging, Brain Disorders, Clinical Research, Acquired Cognitive Impairment, Neurodegenerative, Dementia, Neurosciences, Prevention, Genetics, Alzheimer's Disease, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Mental Health, 2.1 Biological and endogenous factors, Mental health, Neurological
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
2017

11. Novel genetic loci underlying human intracranial volume identified through genome-wide association

Author

Adams, Hieab HH, Hibar, Derrek P, Chouraki, Vincent, Stein, Jason L, Nyquist, Paul A, Rentería, Miguel E, Trompet, Stella, Arias-Vasquez, Alejandro, Seshadri, Sudha, Desrivières, Sylvane, Beecham, Ashley H, Jahanshad, Neda, Wittfeld, Katharina, Van der Lee, Sven J, Abramovic, Lucija, Alhusaini, Saud, Amin, Najaf, Andersson, Micael, Arfanakis, Konstantinos, Aribisala, Benjamin S, Armstrong, Nicola J, Athanasiu, Lavinia, Axelsson, Tomas, Beiser, Alexa, Bernard, Manon, Bis, Joshua C, Blanken, Laura ME, Blanton, Susan H, Bohlken, Marc M, Boks, Marco P, Bralten, Janita, Brickman, Adam M, Carmichael, Owen, Chakravarty, M Mallar, Chauhan, Ganesh, Chen, Qiang, Ching, Christopher RK, Cuellar-Partida, Gabriel, Braber, Anouk Den, Doan, Nhat Trung, Ehrlich, Stefan, Filippi, Irina, Ge, Tian, Giddaluru, Sudheer, Goldman, Aaron L, Gottesman, Rebecca F, Greven, Corina U, Grimm, Oliver, Griswold, Michael E, Guadalupe, Tulio, Hass, Johanna, Haukvik, Unn K, Hilal, Saima, Hofer, Edith, Hoehn, David, Holmes, Avram J, Hoogman, Martine, Janowitz, Deborah, Jia, Tianye, Kasperaviciute, Dalia, Kim, Sungeun, Klein, Marieke, Kraemer, Bernd, Lee, Phil H, Liao, Jiemin, Liewald, David CM, Lopez, Lorna M, Luciano, Michelle, Macare, Christine, Marquand, Andre, Matarin, Mar, Mather, Karen A, Mattheisen, Manuel, Mazoyer, Bernard, McKay, David R, McWhirter, Rebekah, Milaneschi, Yuri, Mirza-Schreiber, Nazanin, Muetzel, Ryan L, Maniega, Susana Muñoz, Nho, Kwangsik, Nugent, Allison C, Loohuis, Loes M Olde, Oosterlaan, Jaap, Papmeyer, Martina, Pappa, Irene, Pirpamer, Lukas, Pudas, Sara, Pütz, Benno, Rajan, Kumar B, Ramasamy, Adaikalavan, Richards, Jennifer S, Risacher, Shannon L, Roiz-Santiañez, Roberto, Rommelse, Nanda, Rose, Emma J, Royle, Natalie A, Rundek, Tatjana, Sämann, Philipp G, and Satizabal, Claudia L

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Human Genome, Biotechnology, Brain Disorders, Clinical Research, Aging, Prevention, Neurodegenerative, Genetics, 2.1 Biological and endogenous factors, Brain, Cognition, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Oncogene Protein v-akt, Parkinson Disease, Phenotype, Phosphatidylinositol 3-Kinases, Polymorphism, Single Nucleotide, White People, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Intracranial volume reflects the maximally attained brain size during development, and remains stable with loss of tissue in late life. It is highly heritable, but the underlying genes remain largely undetermined. In a genome-wide association study of 32,438 adults, we discovered five previously unknown loci for intracranial volume and confirmed two known signals. Four of the loci were also associated with adult human stature, but these remained associated with intracranial volume after adjusting for height. We found a high genetic correlation with child head circumference (ρgenetic = 0.748), which indicates a similar genetic background and allowed us to identify four additional loci through meta-analysis (Ncombined = 37,345). Variants for intracranial volume were also related to childhood and adult cognitive function, and Parkinson's disease, and were enriched near genes involved in growth pathways, including PI3K-AKT signaling. These findings identify the biological underpinnings of intracranial volume and their link to physiological and pathological traits.

Published
2016

16. Common genetic variants influence human subcortical brain structures

Author

Hibar, Derrek P, Stein, Jason L, Renteria, Miguel E, Arias-Vasquez, Alejandro, Desrivières, Sylvane, Jahanshad, Neda, Toro, Roberto, Wittfeld, Katharina, Abramovic, Lucija, Andersson, Micael, Aribisala, Benjamin S, Armstrong, Nicola J, Bernard, Manon, Bohlken, Marc M, Boks, Marco P, Bralten, Janita, Brown, Andrew A, Mallar Chakravarty, M, Chen, Qiang, Ching, Christopher RK, Cuellar-Partida, Gabriel, den Braber, Anouk, Giddaluru, Sudheer, Goldman, Aaron L, Grimm, Oliver, Guadalupe, Tulio, Hass, Johanna, Woldehawariat, Girma, Holmes, Avram J, Hoogman, Martine, Janowitz, Deborah, Jia, Tianye, Kim, Sungeun, Klein, Marieke, Kraemer, Bernd, Lee, Phil H, Olde Loohuis, Loes M, Luciano, Michelle, Macare, Christine, Mather, Karen A, Mattheisen, Manuel, Milaneschi, Yuri, Nho, Kwangsik, Papmeyer, Martina, Ramasamy, Adaikalavan, Risacher, Shannon L, Roiz-Santiañez, Roberto, Rose, Emma J, Salami, Alireza, Sämann, Philipp G, Schmaal, Lianne, Schork, Andrew J, Shin, Jean, Strike, Lachlan T, Teumer, Alexander, van Donkelaar, Marjolein MJ, van Eijk, Kristel R, Walters, Raymond K, Westlye, Lars T, Whelan, Christopher D, Winkler, Anderson M, Zwiers, Marcel P, Alhusaini, Saud, Athanasiu, Lavinia, Ehrlich, Stefan, Hakobjan, Marina MH, Hartberg, Cecilie B, Haukvik, Unn K, Heister, Angelien JGAM, Hoehn, David, Kasperaviciute, Dalia, Liewald, David CM, Lopez, Lorna M, Makkinje, Remco RR, Matarin, Mar, Naber, Marlies AM, Reese McKay, D, Needham, Margaret, Nugent, Allison C, Pütz, Benno, Royle, Natalie A, Shen, Li, Sprooten, Emma, Trabzuni, Daniah, van der Marel, Saskia SL, van Hulzen, Kimm JE, Walton, Esther, Wolf, Christiane, Almasy, Laura, Ames, David, Arepalli, Sampath, Assareh, Amelia A, Bastin, Mark E, Brodaty, Henry, Bulayeva, Kazima B, Carless, Melanie A, Cichon, Sven, Corvin, Aiden, Curran, Joanne E, and Czisch, Michael

Subjects
Biological Psychology, Biological Sciences, Genetics, Psychology, Brain Disorders, Human Genome, Mental Health, Neurosciences, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Neurological, Mental health, Adolescent, Adult, Aged, Aged, 80 and over, Aging, Apoptosis, Brain, Caudate Nucleus, Child, Female, Gene Expression Regulation, Developmental, Genetic Loci, Genetic Variation, Genome-Wide Association Study, Hippocampus, Humans, Magnetic Resonance Imaging, Male, Membrane Proteins, Middle Aged, Organ Size, Putamen, Sex Characteristics, Skull, Young Adult, Alzheimer’s Disease Neuroimaging Initiative, CHARGE Consortium, EPIGEN, IMAGEN, SYS, General Science & Technology
Abstract

The highly complex structure of the human brain is strongly shaped by genetic influences. Subcortical brain regions form circuits with cortical areas to coordinate movement, learning, memory and motivation, and altered circuits can lead to abnormal behaviour and disease. To investigate how common genetic variants affect the structure of these brain regions, here we conduct genome-wide association studies of the volumes of seven subcortical regions and the intracranial volume derived from magnetic resonance images of 30,717 individuals from 50 cohorts. We identify five novel genetic variants influencing the volumes of the putamen and caudate nucleus. We also find stronger evidence for three loci with previously established influences on hippocampal volume and intracranial volume. These variants show specific volumetric effects on brain structures rather than global effects across structures. The strongest effects were found for the putamen, where a novel intergenic locus with replicable influence on volume (rs945270; P = 1.08 × 10(-33); 0.52% variance explained) showed evidence of altering the expression of the KTN1 gene in both brain and blood tissue. Variants influencing putamen volume clustered near developmental genes that regulate apoptosis, axon guidance and vesicle transport. Identification of these genetic variants provides insight into the causes of variability in human brain development, and may help to determine mechanisms of neuropsychiatric dysfunction.

Published
2015

25. Genetic variants for head size share genes and pathways with cancer

Author

Amouyel, Philippe, Arfanakis, Konstantinos, Aribisala, Benjamin S., Bastin, Mark E., Chauhan, Ganesh, Chen, Christopher, Cheng, Ching-Yu, de Jager, Philip L., Deary, Ian J., Fleischman, Debra A., Gottesman, Rebecca F., Gudnason, Vilmundur, Hilal, Saima, Hofer, Edith, Janowitz, Deborah, Jukema, J. Wouter, Liewald, David C.M., Lopez, Lorna M., Lopez, Oscar, Luciano, Michelle, Martinez, Oliver, Niessen, Wiro J., Nyquist, Paul, Rotter, Jerome I., Rundek, Tatjana, Sacco, Ralph L., Schmidt, Helena, Tiemeier, Henning, Trompet, Stella, van der Grond, Jeroen, Völzke, Henry, Wardlaw, Joanna M., Yanek, Lisa, Yang, Jingyun, Agartz, Ingrid, Alhusaini, Saud, Almasy, Laura, Ames, David, Amunts, Katrin, Andreassen, Ole A., Armstrong, Nicola, Bernard, Manon, Blangero, John, Blanken, Laura M.E., Boks, Marco P., Boomsma, Dorret I., Brickman, Adam M., Brodaty, Henry, Buckner, Randy L., Buitelaar, Jan K., Cannon, Dara M., Carr, Vaughan J., Catts, Stanley V., Chakravarty, M. Mallar, Chen, Qiang, Ching, Christopher R.K., Corvin, Aiden, Crespo-Facorro, Benedicto, Curran, Joanne E., Davies, Gareth E., de Geus, Eco J.C., de Zubicaray, Greig I., den Braber, Anouk, Desrivières, Sylvane, Dillman, Allissa, Djurovic, Srdjan, Drevets, Wayne C., Duggirala, Ravi, Ehrlich, Stefan, Erk, Susanne, Espeseth, Thomas, Fedko, Iryna O., Fernández, Guillén, Fisher, Simon E., Foroud, Tatiana M., Ge, Tian, Giddaluru, Sudheer, Glahn, David C., Goldman, Aaron L., Green, Robert C., Greven, Corina U., Grimm, Oliver, Hansell, Narelle K., Hartman, Catharina A., Hashimoto, Ryota, Heinz, Andreas, Henskens, Frans, Hibar, Derrek P., Ho, Beng-Choon, Hoekstra, Pieter J., Holmes, Avram J., Hoogman, Martine, Hottenga, Jouke-Jan, Hulshoff Pol, Hilleke E., Jablensky, Assen, Jenkinson, Mark, Jia, Tianye, Jöckel, Karl-Heinz, Jönsson, Erik G., Kim, Sungeun, Klein, Marieke, Kochunov, Peter, Kwok, John B., Lawrie, Stephen M., Le Hellard, Stephanie, Lemaître, Hervé, Loughland, Carmel, Marquand, Andre F., Martin, Nicholas G., Martinot, Jean-Luc, Matarin, Mar, Mathalon, Daniel H., Mather, Karen A., Mattay, Venkata S., McDonald, Colm, McMahon, Francis J., McMahon, Katie L., E, Rebekah, McWhirter, Mecocci, Patrizia, Melle, Ingrid, Meyer-Lindenberg, Andreas, Michie, Patricia T., Milaneschi, Yuri, Morris, Derek W., Mowry, Bryan, Nho, Kwangsik, Nichols, Thomas E., Nöthen, Markus N., Olvera, Rene L., Oosterlaan, Jaap, Ophoff, Roel A., Pandolfo, Massimo, Pantelis, Christos, Pappa, Irene, Penninx, Brenda, Pike, G. Bruce, Rasser, Paul E., Rentería, Miguel E., Reppermund, Simone, Rietschel, Marcella, Risacher, Shannon L., Romanczuk-Seiferth, Nina, Rose, Emma Jane, Sachdev, Perminder S., Sämann, Philipp G., Saykin, Andrew J., Schall, Ulrich, Schofield, Peter R., Schramm, Sara, Schumann, Gunter, Scott, Rodney, Shen, Li, Sisodiya, Sanjay M., Soininen, Hilkka, Sprooten, Emma, Srikanth, Velandai, Steen, Vidar M., Strike, Lachlan T., Thalamuthu, Anbupalam, Toga, Arthur W., Tooney, Paul, Tordesillas-Gutiérrez, Diana, Turner, Jessica A., Valdés Hernández, Maria del C., van der Meer, Dennis, Van der Wee, Nic J.A., Van Haren, Neeltje E.M., van 't Ent, Dennis, Veltman, Dick J., Walter, Henrik, Weinberger, Daniel R., Weiner, Michael W., Wen, Wei, Westlye, Lars T., Westman, Eric, Winkler, Anderson M., Woldehawariat, Girma, Wright, Margaret J., Wu, Jingqin, Knol, Maria J., Poot, Raymond A., Evans, Tavia E., Satizabal, Claudia L., Mishra, Aniket, Sargurupremraj, Muralidharan, van der Auwera, Sandra, Duperron, Marie-Gabrielle, Jian, Xueqiu, Hostettler, Isabel C., van Dam-Nolen, Dianne H.K., Lamballais, Sander, Pawlak, Mikolaj A., Lewis, Cora E., Carrion-Castillo, Amaia, van Erp, Theo G.M., Reinbold, Céline S., Shin, Jean, Scholz, Markus, Håberg, Asta K., Kämpe, Anders, Li, Gloria H.Y., Avinun, Reut, Atkins, Joshua R., Hsu, Fang-Chi, Amod, Alyssa R., Lam, Max, Tsuchida, Ami, Teunissen, Mariël W.A., Aygün, Nil, Patel, Yash, Liang, Dan, Beiser, Alexa S., Beyer, Frauke, Bis, Joshua C., Bos, Daniel, Bryan, R. Nick, Bülow, Robin, Caspers, Svenja, Catheline, Gwenaëlle, Cecil, Charlotte A.M., Dalvie, Shareefa, Dartigues, Jean-François, DeCarli, Charles, Enlund-Cerullo, Maria, Ford, Judith M., Franke, Barbara, Freedman, Barry I., Friedrich, Nele, Green, Melissa J., Haworth, Simon, Helmer, Catherine, Hoffmann, Per, Homuth, Georg, Ikram, M. Kamran, Jack, Clifford R., Jr., Jahanshad, Neda, Jockwitz, Christiane, Kamatani, Yoichiro, Knodt, Annchen R., Li, Shuo, Lim, Keane, Longstreth, W.T., Macciardi, Fabio, Mäkitie, Outi, Mazoyer, Bernard, Medland, Sarah E., Miyamoto, Susumu, Moebus, Susanne, Mosley, Thomas H., Muetzel, Ryan, Mühleisen, Thomas W., Nagata, Manabu, Nakahara, Soichiro, Palmer, Nicholette D., Pausova, Zdenka, Preda, Adrian, Quidé, Yann, Reay, William R., Roshchupkin, Gennady V., Schmidt, Reinhold, Schreiner, Pamela J., Setoh, Kazuya, Shapland, Chin Yang, Sidney, Stephen, St Pourcain, Beate, Stein, Jason L., Tabara, Yasuharu, Teumer, Alexander, Uhlmann, Anne, van der Lugt, Aad, Vernooij, Meike W., Werring, David J., Windham, B. Gwen, Witte, A. Veronica, Wittfeld, Katharina, Yang, Qiong, Yoshida, Kazumichi, Brunner, Han G., Le Grand, Quentin, Sim, Kang, Stein, Dan J., Bowden, Donald W., Cairns, Murray J., Hariri, Ahmad R., Cheung, Ching-Lung, Andersson, Sture, Villringer, Arno, Paus, Tomas, Cichon, Sven, Calhoun, Vince D., Crivello, Fabrice, Launer, Lenore J., White, Tonya, Koudstaal, Peter J., Houlden, Henry, Fornage, Myriam, Matsuda, Fumihiko, Grabe, Hans J., Ikram, M. Arfan, Debette, Stéphanie, Thompson, Paul M., Seshadri, Sudha, and Adams, Hieab H.H.

Published
2024
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30. Proposing a communication module to enhance dental students' attitudes towards people with dementia: Phase 1 of a curriculum revision study.

Author

Gurtmann, Sonja, Schwahn, Christian, Krüger, Markus, Janowitz, Deborah, Pilz, Kristin, Biffar, Reiner, Grabe, Hans‐J., and Söhnel, Andreas

Subjects
STUDENT attitudes, DENTAL students, CURRICULUM change, DENTAL schools, DEMENTIA, CLINICAL trials
Abstract

Introduction: The number of mentally altered patients a dentist meets in practice is increasing and interaction with them can be very challenging. As a baseline for an interventional study, we want to assess the attitude of dental students and identify areas of improvement in patient communication. This work compares the attitude of dental students towards people suffering from dementia to the attitudes of trained medical caregivers and the general population. Our aim is to use the results to assess the need for training in communicating with mentally altered patients. Materials and Methods: Fourth‐year dental students attended two lectures on dementia given by a psychiatrist as part of the geriatric dentistry lecture and were questioned afterwards using the Dementia Attitude Scale. In 2016 and 2017, 73 students at the University of Greifswald were interviewed. The response rate was 84%. Using a factor analysis, the Dementia Attitude Scale's validated questions were interpreted and compared with data from nursing staff from Switzerland and the USA. Results: The factor analysis of the data showed the same two‐factor loadings as the comparative groups, and that dental students' attitude is more comparable to the general population than to medically trained nursing staff. Conclusion: Given the results, we conclude that the implementation of a communication module can serve in improving the attitude of dental students towards patients with dementia. [ABSTRACT FROM AUTHOR]

Published
2024
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31. [18F]GE-180-PET and Post Mortem Marker Characteristics of Long-Term High-Fat-Diet-Induced Chronic Neuroinflammation in Mice

Author

Müller, Luisa, primary, Power Guerra, Nicole, additional, Schildt, Anna, additional, Lindner, Tobias, additional, Stenzel, Jan, additional, Behrangi, Newshan, additional, Bergner, Carina, additional, Alberts, Teresa, additional, Bühler, Daniel, additional, Kurth, Jens, additional, Krause, Bernd Joachim, additional, Janowitz, Deborah, additional, Teipel, Stefan, additional, Vollmar, Brigitte, additional, and Kuhla, Angela, additional

Published
2023
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38. [ 18 F]GE-180-PET and Post Mortem Marker Characteristics of Long-Term High-Fat-Diet-Induced Chronic Neuroinflammation in Mice.

Author

Müller, Luisa, Power Guerra, Nicole, Schildt, Anna, Lindner, Tobias, Stenzel, Jan, Behrangi, Newshan, Bergner, Carina, Alberts, Teresa, Bühler, Daniel, Kurth, Jens, Krause, Bernd Joachim, Janowitz, Deborah, Teipel, Stefan, Vollmar, Brigitte, and Kuhla, Angela

Subjects
TRANSLOCATOR proteins, NEUROINFLAMMATION, BRAIN metabolism, POSITRON emission tomography, METABOLIC disorders, HIGH-fat diet
Abstract

Obesity is characterized by immoderate fat accumulation leading to an elevated risk of neurodegenerative disorders, along with a host of metabolic disturbances. Chronic neuroinflammation is a main factor linking obesity and the propensity for neurodegenerative disorders. To determine the cerebrometabolic effects of diet-induced obesity (DIO) in female mice fed a long-term (24 weeks) high-fat diet (HFD, 60% fat) compared to a group on a control diet (CD, 20% fat), we used in vivo PET imaging with the radiotracer [18F]FDG as a marker for brain glucose metabolism. In addition, we determined the effects of DIO on cerebral neuroinflammation using translocator protein 18 kDa (TSPO)-sensitive PET imaging with [18F]GE-180. Finally, we performed complementary post mortem histological and biochemical analyses of TSPO and further microglial (Iba1, TMEM119) and astroglial (GFAP) markers as well as cerebral expression analyses of cytokines (e.g., Interleukin (IL)-1β). We showed the development of a peripheral DIO phenotype, characterized by increased body weight, visceral fat, free triglycerides and leptin in plasma, as well as increased fasted blood glucose levels. Furthermore, we found obesity-associated hypermetabolic changes in brain glucose metabolism in the HFD group. Our main findings with respect to neuroinflammation were that neither [18F]GE-180 PET nor histological analyses of brain samples seem fit to detect the predicted cerebral inflammation response, despite clear evidence of perturbed brain metabolism along with elevated IL-1β expression. These results could be interpreted as a metabolically activated state in brain-resident immune cells due to a long-term HFD. [ABSTRACT FROM AUTHOR]

Published
2023
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45. Fibroblast Growth Factor 21 as a Potential Biomarker for Improved Locomotion and Olfaction Detection Ability after Weight Reduction in Obese Mice

Author

Power Guerra, Nicole, primary, Parveen, Alisha, additional, Bühler, Daniel, additional, Brauer, David Leon, additional, Müller, Luisa, additional, Pilz, Kristin, additional, Witt, Martin, additional, Glass, Änne, additional, Bajorat, Rika, additional, Janowitz, Deborah, additional, Wolkenhauer, Olaf, additional, Vollmar, Brigitte, additional, and Kuhla, Angela, additional

Published
2021
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48. Simvastatin add-on to escitalopram in patients with comorbid obesity and major depression (SIMCODE): study protocol of a multicentre, randomised, double-blind, placebo-controlled trial

Author

Otte, Christian, Chae, Woo Ri, Nowacki, Jan, Kaczmarczyk, Michael, Piber, Dominique, Roepke, Stefan, Märschenz, Stefanie, Lischewski, Sandra, Schmidt, Sein, Ettrich, Barbara, Grabe, Hans Joergen, Hegerl, Ulrich, Hinkelmann, Kim, Hofmann, Tobias, Janowitz, Deborah, Junghanns, Klaus, Kahl, Kai G, Klein, Jan Philipp, Krueger, Tillmann H C, Leicht, Gregor, Prvulovic, David, Reif, Andreas, Schoettle, Daniel, Strauss, Maria, Westermair, Anna, Friede, Tim, Gold, Stefan M, University of Zurich, and Otte, Christian

Subjects
Depressive Disorder, Major, Simvastatin, clinical trials, Depression, 610 Medicine & health, 2700 General Medicine, General Medicine, Citalopram, Berlin, Treatment Outcome, Double-Blind Method, depression & mood disorders, mental disorders, 10222 Institute of Biomedical Ethics and History of Medicine, Humans, Multicenter Studies as Topic, Obesity, mental health, 600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit, Randomized Controlled Trials as Topic
Abstract

Introduction Major depressive disorder (MDD) and obesity are both common disorders associated with significant burden of disease worldwide. Importantly, MDD and obesity often co-occur, with each disorder increasing the risk for developing the other by about 50%–60%. Statins are among the most prescribed medications with well-established safety and efficacy. Statins are recommended in primary prevention of cardiovascular disease, which has been linked to both MDD and obesity. Moreover, statins are promising candidates to treat MDD because a meta-analysis of pilot randomised controlled trials has found antidepressive effects of statins as adjunct therapy to antidepressants. However, no study so far has tested the antidepressive potential of statins in patients with MDD and comorbid obesity. Importantly, this is a difficult-to-treat population that often exhibits a chronic course of MDD and is more likely to be treatment resistant. Thus, in this confirmatory randomised controlled trial, we will determine whether add-on simvastatin to standard antidepressant medication with escitalopram is more efficacious than add-on placebo over 12 weeks in 160 patients with MDD and comorbid obesity. Methods and analysis This is a protocol for a randomised, placebo-controlled, double-blind multicentre trial with parallel-group design (phase II). One hundred and sixty patients with MDD and comorbid obesity will be randomised 1:1 to simvastatin or placebo as add-on to standard antidepressant medication with escitalopram. The primary outcome is change in the Montgomery-Åsberg Depression Rating Scale (MADRS) score from baseline to week 12. Secondary outcomes include MADRS response (defined as 50% MADRS score reduction from baseline), MADRS remission (defined as MADRS score

Published
2020

49. Sequence-based characterization of structural variation in the mouse genome

Author

Yalcin, Binnaz, Wong, Kim, Agam, Avigail, Goodson, Martin, Keane, Thomas M., Gan, Xiangchao, Nellaker, Christoffer, Goodstadt, Leo, Nicod, Jerome, Bhomra, Amarjit, Hernandez-Pliego, Polinka, Whitley, Helen, Cleak, James, Dutton, Rebekah, Janowitz, Deborah, Mott, Richard, Adams, David J., and Flint, Jonathan

Subjects
Nucleotide sequence -- Structure, Genomes -- Structure -- Properties, Mice -- Genetic aspects, Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

Structural variation is widespread in mammalian genomes (1,2) and is an important cause of disease (3), but just how abundant and important structural variants (SVs) are in shaping phenotypic variation remains unclear (4,5). Without knowing how many SVs there are, and how they arise, it is difficult to discover what they do. Combining experimental with automated analyses, we identified 711,920 SVs at 281,243 sites in the genomes of thirteen classical and four wild-derived inbred mouse strains. The majority of SVs are less than 1 kilobase in size and 98% are deletions or insertions. The breakpoints of 160,000 SVs were mapped to base pair resolution, allowing us to infer that insertion of retrotransposons causes more than half of SVs. Yet, despite their prevalence, SVs are less likely than other sequence variants to cause gene expression or quantitative phenotypic variation. We identified 24 SVs that disrupt coding exons, acting as rare variants of large effect on gene function. One-third of the genes so affected have immunological functions., The pre-eminent organism for modelling the relationship between phenotype and genotype, including SVs, is the mouse, but our catalogue of SVs in this animal is incomplete (6) and most of [...]

Published
2011
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50. Lehre in den psychosozialen medizinischen Fächern in Zeiten der COVID-19-Pandemie – erste Erfahrungen

Author

Koelkebeck, Katja, additional, Baessler, Franziska, additional, Bittner, Robert, additional, Frodl, Thomas, additional, Gradl-Dietsch, Gertraut, additional, Janowitz, Deborah, additional, Jordan, Katja-Daniela, additional, Kluge, Ina, additional, Matthes, Oliver, additional, Pinilla, Severin, additional, Robitzsch, Anita, additional, Strauß, Maria, additional, Speerforck, Sven, additional, Watzke, Stefan, additional, and Spitzer, Philipp, additional

Published
2021
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