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1. SKA2 regulated hyperactive secretory autophagy drives neuroinflammation-induced neurodegeneration

Author

Hartmann, Jakob, Bajaj, Thomas, Otten, Joy, Klengel, Claudia, Ebert, Tim, Gellner, Anne-Kathrin, Junglas, Ellen, Hafner, Kathrin, Anderzhanova, Elmira A., Tang, Fiona, Missig, Galen, Rexrode, Lindsay, Trussell, Daniel T., Li, Katelyn X., Pöhlmann, Max L., Mackert, Sarah, Geiger, Thomas M., Heinz, Daniel E., Lardenoije, Roy, Dedic, Nina, McCullough, Kenneth M., Próchnicki, Tomasz, Rhomberg, Thomas, Martinelli, Silvia, Payton, Antony, Robinson, Andrew C., Stein, Valentin, Latz, Eicke, Carlezon, Jr, William A., Hausch, Felix, Schmidt, Mathias V., Murgatroyd, Chris, Berretta, Sabina, Klengel, Torsten, Pantazopoulos, Harry, Ressler, Kerry J., and Gassen, Nils C.

Published
2024
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4. Identifying nootropic drug targets via large-scale cognitive GWAS and transcriptomics.

Author

Lam, Max, Chen, Chia-Yen, Ge, Tian, Xia, Yan, Hill, David W, Trampush, Joey W, Yu, Jin, Knowles, Emma, Davies, Gail, Stahl, Eli A, Huckins, Laura, Liewald, David C, Djurovic, Srdjan, Melle, Ingrid, 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, Hartmann, Annette M, Roussos, Panos, Giakoumaki, Stella, Burdick, Katherine E, Payton, Antony, Ollier, William, Chiba-Falek, Ornit, Koltai, Deborah C, Need, Anna C, Cirulli, Elizabeth T, Voineskos, Aristotle N, Stefanis, Nikos C, Avramopoulos, Dimitrios, Hatzimanolis, Alex, Smyrnis, Nikolaos, Bilder, Robert M, Freimer, Nelson B, 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, Huang, Hailiang, Liu, Chunyu, Malhotra, Anil K, and Lencz, Todd

Subjects
Humans, Nootropic Agents, Cognition, Schizophrenia, Genome-Wide Association Study, Transcriptome, Psychiatry, Medical and Health Sciences, Psychology and Cognitive Sciences
Abstract

Broad-based cognitive deficits are an enduring and disabling symptom for many patients with severe mental illness, and these impairments are inadequately addressed by current medications. While novel drug targets for schizophrenia and depression have emerged from recent large-scale genome-wide association studies (GWAS) of these psychiatric disorders, GWAS of general cognitive ability can suggest potential targets for nootropic drug repurposing. Here, we (1) meta-analyze results from two recent cognitive GWAS to further enhance power for locus discovery; (2) employ several complementary transcriptomic methods to identify genes in these loci that are credibly associated with cognition; and (3) further annotate the resulting genes using multiple chemoinformatic databases to identify "druggable" targets. Using our meta-analytic data set (N = 373,617), we identified 241 independent cognition-associated loci (29 novel), and 76 genes were identified by 2 or more methods of gene identification. Actin and chromatin binding gene sets were identified as novel pathways that could be targeted via drug repurposing. Leveraging our transcriptomic and chemoinformatic databases, we identified 16 putative genes targeted by existing drugs potentially available for cognitive repurposing.

Published
2021

6. Pleiotropic Meta-Analysis of Cognition, Education, and Schizophrenia Differentiates Roles of Early Neurodevelopmental and Adult Synaptic Pathways.

Author

Lam, Max, Hill, W David, Trampush, Joey W, Yu, Jin, Knowles, Emma, Davies, Gail, Stahl, Eli, Huckins, Laura, Liewald, David C, 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, Hartmann, Annette M, 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
Humans, Genetic Predisposition to Disease, Cognition, Cognition Disorders, Schizophrenia, Synaptic Transmission, Polymorphism, Single Nucleotide, Adult, Educational Status, Genome-Wide Association Study, Neurodevelopmental Disorders, GWAS, cognitive ability, educational attainment, genetic correlation, pathways, pleiotropy, schizophrenia, Serious Mental Illness, Neurosciences, Biotechnology, Mental Health, Genetics, Brain Disorders, Prevention, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Mental health, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Susceptibility to schizophrenia is inversely correlated with general cognitive ability at both the phenotypic and the genetic level. Paradoxically, a modest but consistent positive genetic correlation has been reported between schizophrenia and educational attainment, despite the strong positive genetic correlation between cognitive ability and educational attainment. Here we leverage published genome-wide association studies (GWASs) in cognitive ability, education, and schizophrenia to parse biological mechanisms underlying these results. Association analysis based on subsets (ASSET), a pleiotropic meta-analytic technique, allowed jointly associated loci to be identified and characterized. Specifically, we identified subsets of variants associated in the expected ("concordant") direction across all three phenotypes (i.e., greater risk for schizophrenia, lower cognitive ability, and lower educational attainment); these were contrasted with variants that demonstrated the counterintuitive ("discordant") relationship between education and schizophrenia (i.e., greater risk for schizophrenia and higher educational attainment). ASSET analysis revealed 235 independent loci associated with cognitive ability, education, and/or schizophrenia at p < 5 × 10-8. Pleiotropic analysis successfully identified more than 100 loci that were not significant in the input GWASs. Many of these have been validated by larger, more recent single-phenotype GWASs. Leveraging the joint genetic correlations of cognitive ability, education, and schizophrenia, we were able to dissociate two distinct biological mechanisms-early neurodevelopmental pathways that characterize concordant allelic variation and adulthood synaptic pruning pathways-that were linked to the paradoxical positive genetic association between education and schizophrenia. Furthermore, genetic correlation analyses revealed that these mechanisms contribute not only to the etiopathogenesis of schizophrenia but also to the broader biological dimensions implicated in both general health outcomes and psychiatric illness.

Published
2019

7. Author Correction: Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function.

Author

Davies, Gail, Lam, Max, Harris, Sarah E, Trampush, Joey W, Luciano, Michelle, Hill, W David, Hagenaars, Saskia P, Ritchie, Stuart J, Marioni, Riccardo E, Fawns-Ritchie, Chloe, Liewald, David CM, Okely, Judith A, Ahola-Olli, Ari V, Barnes, Catriona LK, Bertram, Lars, Bis, Joshua C, Burdick, Katherine E, Christoforou, Andrea, DeRosse, Pamela, Djurovic, Srdjan, Espeseth, Thomas, Giakoumaki, Stella, Giddaluru, Sudheer, Gustavson, Daniel E, Hayward, Caroline, Hofer, Edith, Ikram, M Arfan, Karlsson, Robert, Knowles, Emma, Lahti, Jari, Leber, Markus, Li, Shuo, Mather, Karen A, Melle, Ingrid, Morris, Derek, Oldmeadow, Christopher, Palviainen, Teemu, Payton, Antony, Pazoki, Raha, Petrovic, Katja, Reynolds, Chandra A, Sargurupremraj, Muralidharan, Scholz, Markus, Smith, Jennifer A, Smith, Albert V, Terzikhan, Natalie, Thalamuthu, Anbupalam, Trompet, Stella, van der Lee, Sven J, Ware, Erin B, Windham, B Gwen, Wright, Margaret J, Yang, Jingyun, Yu, Jin, Ames, David, Amin, Najaf, Amouyel, Philippe, Andreassen, Ole A, Armstrong, Nicola J, Assareh, Amelia A, Attia, John R, Attix, Deborah, Avramopoulos, Dimitrios, Bennett, David A, Böhmer, Anne C, Boyle, Patricia A, Brodaty, Henry, Campbell, Harry, Cannon, Tyrone D, Cirulli, Elizabeth T, Congdon, Eliza, Conley, Emily Drabant, Corley, Janie, Cox, Simon R, Dale, Anders M, Dehghan, Abbas, Dick, Danielle, Dickinson, Dwight, Eriksson, Johan G, Evangelou, Evangelos, Faul, Jessica D, Ford, Ian, Freimer, Nelson A, Gao, He, Giegling, Ina, Gillespie, Nathan A, Gordon, Scott D, Gottesman, Rebecca F, Griswold, Michael E, Gudnason, Vilmundur, Harris, Tamara B, Hartmann, Annette M, Hatzimanolis, Alex, Heiss, Gerardo, Holliday, Elizabeth G, Joshi, Peter K, Kähönen, Mika, Kardia, Sharon LR, Karlsson, Ida, and Kleineidam, Luca

Abstract

Christina M. Lill, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this article. This has now been corrected in both the PDF and HTML versions of the article.

Published
2019

8. Multi-Trait Analysis of GWAS and Biological Insights Into Cognition: A Response to Hill (2018)

Author

Lam, Max, Trampush, Joey W, Yu, Jin, Knowles, Emma, 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, Glahn, David C, Malhotra, Anil K, and Lencz, Todd

Subjects
Reproductive Medicine, Biomedical and Clinical Sciences, Clinical Sciences, Human Genome, Genetics, Mental Health, Aetiology, 2.1 Biological and endogenous factors, Cognition, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Nootropic Agents, Polymorphism, Single Nucleotide, GWAS, general cognitive ability, nootropics, gene expression, neurodevelopment, synapse, calcium channel, potassium channel, cerebellum, Paediatrics and Reproductive Medicine, Cognitive Sciences, Genetics & Heredity, Clinical sciences, Reproductive medicine
Abstract

Hill (Twin Research and Human Genetics, Vol. 21, 2018, 84-88) presented a critique of our recently published paper in Cell Reports entitled 'Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets' (Lam et al., Cell Reports, Vol. 21, 2017, 2597-2613). Specifically, Hill offered several interrelated comments suggesting potential problems with our use of a new analytic method called Multi-Trait Analysis of GWAS (MTAG) (Turley et al., Nature Genetics, Vol. 50, 2018, 229-237). In this brief article, we respond to each of these concerns. Using empirical data, we conclude that our MTAG results do not suffer from 'inflation in the FDR [false discovery rate]', as suggested by Hill (Twin Research and Human Genetics, Vol. 21, 2018, 84-88), and are not 'more relevant to the genetic contributions to education than they are to the genetic contributions to intelligence'.

Published
2018

9. 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

10. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function.

Author

Davies, Gail, Lam, Max, Harris, Sarah E, Trampush, Joey W, Luciano, Michelle, Hill, W David, Hagenaars, Saskia P, Ritchie, Stuart J, Marioni, Riccardo E, Fawns-Ritchie, Chloe, Liewald, David CM, Okely, Judith A, Ahola-Olli, Ari V, Barnes, Catriona LK, Bertram, Lars, Bis, Joshua C, Burdick, Katherine E, Christoforou, Andrea, DeRosse, Pamela, Djurovic, Srdjan, Espeseth, Thomas, Giakoumaki, Stella, Giddaluru, Sudheer, Gustavson, Daniel E, Hayward, Caroline, Hofer, Edith, Ikram, M Arfan, Karlsson, Robert, Knowles, Emma, Lahti, Jari, Leber, Markus, Li, Shuo, Mather, Karen A, Melle, Ingrid, Morris, Derek, Oldmeadow, Christopher, Palviainen, Teemu, Payton, Antony, Pazoki, Raha, Petrovic, Katja, Reynolds, Chandra A, Sargurupremraj, Muralidharan, Scholz, Markus, Smith, Jennifer A, Smith, Albert V, Terzikhan, Natalie, Thalamuthu, Anbupalam, Trompet, Stella, van der Lee, Sven J, Ware, Erin B, Windham, B Gwen, Wright, Margaret J, Yang, Jingyun, Yu, Jin, Ames, David, Amin, Najaf, Amouyel, Philippe, Andreassen, Ole A, Armstrong, Nicola J, Assareh, Amelia A, Attia, John R, Attix, Deborah, Avramopoulos, Dimitrios, Bennett, David A, Böhmer, Anne C, Boyle, Patricia A, Brodaty, Henry, Campbell, Harry, Cannon, Tyrone D, Cirulli, Elizabeth T, Congdon, Eliza, Conley, Emily Drabant, Corley, Janie, Cox, Simon R, Dale, Anders M, Dehghan, Abbas, Dick, Danielle, Dickinson, Dwight, Eriksson, Johan G, Evangelou, Evangelos, Faul, Jessica D, Ford, Ian, Freimer, Nelson A, Gao, He, Giegling, Ina, Gillespie, Nathan A, Gordon, Scott D, Gottesman, Rebecca F, Griswold, Michael E, Gudnason, Vilmundur, Harris, Tamara B, Hartmann, Annette M, Hatzimanolis, Alex, Heiss, Gerardo, Holliday, Elizabeth G, Joshi, Peter K, Kähönen, Mika, Kardia, Sharon LR, Karlsson, Ida, and Kleineidam, Luca

Subjects
Humans, Neurodegenerative Diseases, Genetic Predisposition to Disease, Cognition, Reaction Time, Mental Disorders, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, Young Adult, Genetic Loci, Neurodevelopmental Disorders, Prevention, Behavioral and Social Science, Mental Health, Neurosciences, Biotechnology, Genetics, Human Genome, Neurological, Mental health
Abstract

General cognitive function is a prominent and relatively stable human trait that is associated with many important life outcomes. We combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16-102) and find 148 genome-wide significant independent loci (P

Published
2018

11. 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

12. Inhibiting Hippo pathway kinases releases WWC1 to promote AMPAR-dependent synaptic plasticity and long-term memory in mice

Author

Stepan, Jens, Heinz, Daniel E, Dethloff, Frederik, Wiechmann, Svenja, Martinelli, Silvia, Hafner, Kathrin, Ebert, Tim, Junglas, Ellen, Häusl, Alexander S, Pöhlmann, Max L, Jakovcevski, Mira, Pape, Julius C, Zannas, Anthony S, Bajaj, Thomas, Hermann, Anke, Ma, Xiao, Pavenstädt, Hermann, Schmidt, Mathias V, Philipsen, Alexandra, Turck, Christoph W, Deussing, Jan M, Rammes, Gerhard, Robinson, Andrew C, Payton, Antony, Wehr, Michael C, Stein, Valentin, Murgatroyd, Christopher, Kremerskothen, Joachim, Kuster, Bernhard, Wotjak, Carsten T, Gassen, Nils C, Stepan, Jens, Heinz, Daniel E, Dethloff, Frederik, Wiechmann, Svenja, Martinelli, Silvia, Hafner, Kathrin, Ebert, Tim, Junglas, Ellen, Häusl, Alexander S, Pöhlmann, Max L, Jakovcevski, Mira, Pape, Julius C, Zannas, Anthony S, Bajaj, Thomas, Hermann, Anke, Ma, Xiao, Pavenstädt, Hermann, Schmidt, Mathias V, Philipsen, Alexandra, Turck, Christoph W, Deussing, Jan M, Rammes, Gerhard, Robinson, Andrew C, Payton, Antony, Wehr, Michael C, Stein, Valentin, Murgatroyd, Christopher, Kremerskothen, Joachim, Kuster, Bernhard, Wotjak, Carsten T, and Gassen, Nils C

Abstract

The localization, number, and function of postsynaptic AMPA-type glutamate receptors (AMPARs) are crucial for synaptic plasticity, a cellular correlate for learning and memory. The Hippo pathway member WWC1 is an important component of AMPAR-containing protein complexes. However, the availability of WWC1 is constrained by its interaction with the Hippo pathway kinases LATS1 and LATS2 (LATS1/2). Here, we explored the biochemical regulation of this interaction and found that it is pharmacologically targetable in vivo. In primary hippocampal neurons, phosphorylation of LATS1/2 by the upstream kinases MST1 and MST2 (MST1/2) enhanced the interaction between WWC1 and LATS1/2, which sequestered WWC1. Pharmacologically inhibiting MST1/2 in male mice and in human brain-derived organoids promoted the dissociation of WWC1 from LATS1/2, leading to an increase in WWC1 in AMPAR-containing complexes. MST1/2 inhibition enhanced synaptic transmission in mouse hippocampal brain slices and improved cognition in healthy male mice and in male mouse models of Alzheimer's disease and aging. Thus, compounds that disrupt the interaction between WWC1 and LATS1/2 might be explored for development as cognitive enhancers.

Published
2024

13. Understanding, Experience, and Attitudes Toward Extended Reality Technology : A Multicenter Study

Author

Abbas, Jonathan R., Townley, Oliver G., Rajai, Azita, Payton, Antony, McGrath, Brendan A., Tolley, Neil, Bruce, Iain A., Isba, Rachel, Abbas, Jonathan R., Townley, Oliver G., Rajai, Azita, Payton, Antony, McGrath, Brendan A., Tolley, Neil, Bruce, Iain A., and Isba, Rachel

Abstract

Extended reality technology (XRT) is predicted to play an important role in the future of health care. Although the hardware ecosystem is evolving rapidly, potential barriers to adoption include cost, physical space to use the hardware, side effects, and low understanding of the technology. This article aimed to explore these barriers by assessing the understanding, attitudes, and experience of junior doctors. In this multi-method, cross-sectional study, we administered a bespoke data capture tool to junior doctors in the North West of England. This focused on three domains: understanding, experience, and attitudes toward XRT in health care. Understanding was assessed by an objective knowledge test in a multiple-choice question format and specific self-assessed knowledge questions in a Likert-style questionnaire. Experience and attitudes toward XRT were measured using self-assessed experience questions and self-assessed attitude questions within the same Likert-style questionnaire. A total of 199/224 (89%) doctors who were approached participated in this study. The mean objective knowledge test score was 4.3/10 (range: 0.0–8.0; standard deviation = 1.7) and the median self-assessed knowledge questions score was 3.0/6.0 (interquartile range [IQR]: 2.0–4.0). The median self-assessed experience questions score was 2.2/6.0 (IQR: 1.5–3.5). In terms of attitude toward this technology, 185/199 (93.0%) of participants were interested in using this technology in medical education and similarly, 187/199 (94.0%) believed that it may be effective in medical training. This study demonstrated a low understanding of, and experience with, XRT in a population of junior doctors. Despite this, there was considerable interest in the potential value of this technology in health care, particularly within education. If XRT is to be widely adopted across the National Health Services, work is required to raise awareness of the technology, capabilities, and associated limitations.

Published
2024

14. Homozygous HLA‐DQB1*06:02 combined with T‐cell receptor alpha polymorphism results in narcolepsy onset – A familial case report.

Author

Jervis, Steven, Payton, Antony, Verma, Arpana, Thomasson, Rachel, and Poulton, Kay

Subjects
*T-cell receptor genes, *NARCOLEPSY, *GENETIC disorders, *GENETIC markers, *HEREDITY, *T cells
Abstract

Narcolepsy is a life‐long neurological disorder with well‐established genetic risk factors. Human leukocyte antigen‐DQB1*06:02 remains the strongest genetic predeterminant; however, polymorphisms in genes encoding the T‐cell receptor alpha chain are also strongly linked. This case report shows the inheritance pathway of these genetic markers contributing to narcolepsy onset in a 17‐year‐old female. [ABSTRACT FROM AUTHOR]

Published
2024
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16. Genome-wide association study identifies 74 loci associated with educational attainment

Author

Okbay, Aysu, Beauchamp, Jonathan P, Fontana, Mark Alan, Lee, James J, Pers, Tune H, Rietveld, Cornelius A, Turley, Patrick, Chen, Guo-Bo, Emilsson, Valur, Meddens, S Fleur W, Oskarsson, Sven, Pickrell, Joseph K, Thom, Kevin, Timshel, Pascal, de Vlaming, Ronald, Abdellaoui, Abdel, Ahluwalia, Tarunveer S, Bacelis, Jonas, Baumbach, Clemens, Bjornsdottir, Gyda, Brandsma, Johannes H, Pina Concas, Maria, Derringer, Jaime, Furlotte, Nicholas A, Galesloot, Tessel E, Girotto, Giorgia, Gupta, Richa, Hall, Leanne M, Harris, Sarah E, Hofer, Edith, Horikoshi, Momoko, Huffman, Jennifer E, Kaasik, Kadri, Kalafati, Ioanna P, Karlsson, Robert, Kong, Augustine, Lahti, Jari, Lee, Sven J van der, deLeeuw, Christiaan, Lind, Penelope A, Lindgren, Karl-Oskar, Liu, Tian, Mangino, Massimo, Marten, Jonathan, Mihailov, Evelin, Miller, Michael B, van der Most, Peter J, Oldmeadow, Christopher, Payton, Antony, Pervjakova, Natalia, Peyrot, Wouter J, Qian, Yong, Raitakari, Olli, Rueedi, Rico, Salvi, Erika, Schmidt, Börge, Schraut, Katharina E, Shi, Jianxin, Smith, Albert V, Poot, Raymond A, St Pourcain, Beate, Teumer, Alexander, Thorleifsson, Gudmar, Verweij, Niek, Vuckovic, Dragana, Wellmann, Juergen, Westra, Harm-Jan, Yang, Jingyun, Zhao, Wei, Zhu, Zhihong, Alizadeh, Behrooz Z, Amin, Najaf, Bakshi, Andrew, Baumeister, Sebastian E, Biino, Ginevra, Bønnelykke, Klaus, Boyle, Patricia A, Campbell, Harry, Cappuccio, Francesco P, Davies, Gail, De Neve, Jan-Emmanuel, Deloukas, Panos, Demuth, Ilja, Ding, Jun, Eibich, Peter, Eisele, Lewin, Eklund, Niina, Evans, David M, Faul, Jessica D, Feitosa, Mary F, Forstner, Andreas J, Gandin, Ilaria, Gunnarsson, Bjarni, Halldórsson, Bjarni V, Harris, Tamara B, Heath, Andrew C, Hocking, Lynne J, Holliday, Elizabeth G, Homuth, Georg, and Horan, Michael A

Subjects
Biological Sciences, Genetics, Epidemiology, Health Sciences, Statistics, Mathematical Sciences, Human Genome, Clinical Research, Alzheimer Disease, Bipolar Disorder, Brain, Cognition, Computational Biology, Educational Status, Fetus, Gene Expression Regulation, Gene-Environment Interaction, Genome-Wide Association Study, Humans, Molecular Sequence Annotation, Polymorphism, Single Nucleotide, Schizophrenia, United Kingdom, LifeLines Cohort Study, General Science & Technology
Abstract

Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals. Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends our earlier discovery sample of 101,069 individuals to 293,723 individuals, and a replication study in an independent sample of 111,349 individuals from the UK Biobank. We identify 74 genome-wide significant loci associated with the number of years of schooling completed. Single-nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioural phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because educational attainment is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric diseases.

Published
2016

19. Self-Reported Late-Life Hypertension Is Associated with a Healthy Cognitive Status and Reduced Alzheimer's Disease Pathology Burden.

Author

Robinson, Andrew C., Bin Rizwan, Tawfique, Davidson, Yvonne S., Minshull, James, Tinkler, Phillip, Payton, Antony, Mann, David M.A., and Roncaroli, Federico

Subjects
ALZHEIMER'S disease, PATHOLOGY, HYPERTENSION, HYPERTENSION risk factors, CEREBRAL circulation
Abstract

Background: While mid-life hypertension represents a risk factor for the development of Alzheimer's disease (AD), the risk after the age of 65 is less certain. Establishing relationships between late life hypertension and the pathological changes of AD could be crucial in understanding the relevance of blood pressure as a risk factor for this disorder. Objective: We investigated associations between self-reported late-life hypertension, cognitive status and AD pathology at death. The impact of antihypertensive medication was also examined. Methods: Using the Cornell Medical Index questionnaire, we ascertained whether participants had ever reported hypertension. We also noted use of antihypertensive medication. The donated brains of 108 individuals were assessed for AD pathology using consensus guidelines. Statistical analysis aimed to elucidate relationships between hypertension and AD pathology. Results: We found no associations between self-reported hypertension and cognitive impairment at death. However, those with hypertension were significantly more likely to exhibit lower levels of AD pathology as measured by Thal phase, Braak stage, CERAD score, and NIA-AA criteria—even after controlling for sex, level of education and presence of APOEɛ4 allele(s). No significant associations could be found when examining use of antihypertensive medications. Conclusions: Our findings suggest that late-life hypertension is associated with less severe AD pathology. We postulate that AD pathology may be promoted by reduced cerebral blood flow. [ABSTRACT FROM AUTHOR]

Published
2024
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20. 130 Low Gene Copy Numbers (GCN) of complement C4 and C4A deficiency are highly significant genetic risk factors for idiopathic inflammatory myopathies and its major subgroups

Author

Zhou, Danlei, primary, King, Emily, additional, Rothwell, Simon, additional, Kryštůfková, Olga, additional, Notarnicola, Antonella, additional, Coss, Samantha, additional, Aziz, Rabheh, additional, Miller, Katherine, additional, Dang, Amanda, additional, Yu, Richard, additional, Drew, Joanne, additional, Lundstrom, Emeli, additional, Pachman, Lauren, additional, Mamyrova, Gulnara, additional, Curiel, Rodolfo, additional, De Paepe, Boel, additional, De Bleecker, Jan, additional, Payton, Antony, additional, Ollier, William, additional, O'Hanlon, Terrance, additional, Targoff, Ira, additional, Flegel, Willy, additional, Sivaraman, Vidya, additional, Obele, Edward, additional, Akoghlanian, Shoghik, additional, Driest, Kyla, additional, Spencer, Charles, additional, Ling Wu, Yee, additional, Nagaraja, Haikady, additional, Ardoin, Stacy, additional, Chinoy, Hector, additional, Rider, Lisa, additional, Miller, Frederick, additional, Lundberg, Ingrid, additional, Padyukov, Leonid, additional, Vencovský, Jiří, additional, Lamb, Janine, additional, and Yu, Chack-Yung, additional

Published
2023
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23. SKA2 regulated hyperactive secretory autophagy drives neuroinflammation-induced neurodegeneration

Author

Hartmann, Jakob, primary, Bajaj, Thomas, additional, Otten, Joy, additional, Klengel, Claudia, additional, Gellner, Anne-Kathrin, additional, Junglas, Ellen, additional, Hafner, Kathrin, additional, Anderzhanova, Elmira A, additional, Tang, Fiona, additional, Missig, Galen, additional, Rexrode, Lindsay, additional, Li, Katelyn, additional, Pöhlmann, Max L, additional, Heinz, Daniel E, additional, Lardenoije, Roy, additional, Dedic, Nina, additional, McCullough, Kenneth M, additional, Próchnicki, Tomasz, additional, Rhomberg, Thomas, additional, Martinelli, Silvia, additional, Payton, Antony, additional, Robinson, Andrew C., additional, Stein, Valentin, additional, Latz, Eicke, additional, Carlezon, William A, additional, Schmidt, Mathias V, additional, Murgatroyd, Chris, additional, Berretta, Sabina, additional, Klengel, Torsten, additional, Pantazopoulos, Harry, additional, Ressler, Kerry J, additional, and Gassen, Nils C, additional

Published
2023
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25. What is Virtual Reality?:A healthcare-focused systematic review of definitions

Author

Abbas, Jonathan R, O'Connor, Alexander, Ganapathy, Eshwar, Isba, Rachel, Payton, Antony, McGrath, Brendan, Tolley, Neil, Bruce, Iain A, Abbas, Jonathan R, O'Connor, Alexander, Ganapathy, Eshwar, Isba, Rachel, Payton, Antony, McGrath, Brendan, Tolley, Neil, and Bruce, Iain A

Abstract

Objectives: There has been significant advancement in virtual reality (VR) technology since its conception in 1960, and this evolution has particularly accelerated in recent years. Alongside this, we are seeing an expansion of research interest within which the definitions and nomenclature can be complex and lead to potential misunderstanding or confusion. We present a systematic review of definitions of the term VR as reported within the medical literature with the aim to establish the terminology used to define VR, the differences that exist through the literature, and if they have changed over time. Methods: By reporting according to the PRISMA guidelines, we present a systematic review of VR definitions in the English language medical literature. The databases Medline, PubMed, Web of Science, and Scopus were searched using the search terms ‘virtual reality’, ‘definition’, ‘defined’, or ‘define’. Articles were included if they were peer-reviewed, within the medical literature, published between 22nd December 2001 and 22nd December 2021, and offered either an original or cited definition for the term VR. Following data extraction, quantitative analysis of terminology over time and term density maps have been created. Results: Eighty-eight studies were included offering 105 definitions of the term VR. Of these articles, 58 were published within the last 5 years. Common terms when defining VR included ‘computer’, ‘environment’, ‘user’, ‘interactive’ and ‘simulation’. In recent years, a novel term ‘head mounted display’ has emerged which was not previously featured in healthcare literature. Conclusions: This systematic review highlights that the published literature in the field of VR is rapidly expanding. With the growth in technology we can see a complex network of terminology emerge with little homogeneity. Definitions of VR are numerable and high variability exists. We recommend the requirement for consensus in order to urgently unify terminology within the immer

Published
2023

26. Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence

Author

Sniekers, Suzanne, Stringer, Sven, Watanabe, Kyoko, Jansen, Philip R, Coleman, Jonathan R I, Krapohl, Eva, Taskesen, Erdogan, Hammerschlag, Anke R, Okbay, Aysu, Zabaneh, Delilah, Amin, Najaf, Breen, Gerome, Cesarini, David, Chabris, Christopher F, Iacono, William G, Ikram, M Arfan, Johannesson, Magnus, Koellinger, Philipp, Lee, James J, Magnusson, Patrik K E, McGue, Matt, Miller, Mike B, Ollier, William E R, Payton, Antony, Pendleton, Neil, Plomin, Robert, Rietveld, Cornelius A, Tiemeier, Henning, van Duijn, Cornelia M, and Posthuma, Danielle

Published
2017
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27. Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

Author

Okbay, Aysu, Wu, Yeda, Wang, Nancy, Jayashankar, Hariharan, Bennett, Michael, Nehzati, Seyed Moeen, Sidorenko, Julia, Kweon, Hyeokmoon, Goldman, Grant, Gjorgjieva, Tamara, Jiang, Yunxuan, Hicks, Barry, Tian, Chao, Hinds, David A., Ahlskog, Rafael, Magnusson, Patrik K. E., Oskarsson, Sven, Hayward, Caroline, Campbell, Archie, Porteous, David J., Freese, Jeremy, Herd, Pamela, Agee, Michelle, Alipanahi, Babak, Auton, Adam, Bell, Robert K., Bryc, Katarzyna, Elson, Sarah L., Fontanillas, Pierre, Furlotte, Nicholas A., Huber, Karen E., Kleinman, Aaron, Litterman, Nadia K., McCreight, Jennifer C., McIntyre, Matthew H., Mountain, Joanna L., Northover, Carrie A. M., Pitts, Steven J., Sathirapongsasuti, J. Fah, Sazonova, Olga V., Shelton, Janie F., Shringarpure, Suyash, Tung, Joyce Y., Vacic, Vladimir, Wilson, Catherine H., Fontana, Mark Alan, Pers, Tune H., Rietveld, Cornelius A., Chen, Guo-Bo, Emilsson, Valur, Meddens, S. Fleur W., Pickrell, Joseph K., Thom, Kevin, Timshel, Pascal, de Vlaming, Ronald, Abdellaoui, Abdel, Ahluwalia, Tarunveer S., Bacelis, Jonas, Baumbach, Clemens, Bjornsdottir, Gyda, Brandsma, Johannes H., Concas, Maria Pina, Derringer, Jaime, Galesloot, Tessel E., Girotto, Giorgia, Gupta, Richa, Hall, Leanne M., Harris, Sarah E., Hofer, Edith, Horikoshi, Momoko, Huffman, Jennifer E., Kaasik, Kadri, Kalafati, Ioanna P., Karlsson, Robert, Lahti, Jari, van der Lee, Sven J., de Leeuw, Christiaan, Lind, Penelope A., Lindgren, Karl-Oskar, Liu, Tian, Mangino, Massimo, Marten, Jonathan, Mihailov, Evelin, Miller, Michael B., van der Most, Peter J., Oldmeadow, Christopher, Payton, Antony, Pervjakova, Natalia, Peyrot, Wouter J., Qian, Yong, Raitakari, Olli, Rueedi, Rico, Salvi, Erika, Schmidt, Börge, Schraut, Katharina E., Shi, Jianxin, Smith, Albert V., Poot, Raymond A., Pourcain, Beate St, Teumer, Alexander, Thorleifsson, Gudmar, Verweij, Niek, Vuckovic, Dragana, Wellmann, Juergen, Westra, Harm-Jan, Yang, Jingyun, Zhao, Wei, Zhu, Zhihong, Alizadeh, Behrooz Z., Amin, Najaf, Bakshi, Andrew, Baumeister, Sebastian E., Biino, Ginevra, Bønnelykke, Klaus, Boyle, Patricia A., Campbell, Harry, Cappuccio, Francesco P., Davies, Gail, De Neve, Jan-Emmanuel, Deloukas, Panos, Demuth, Ilja, Ding, Jun, Eibich, Peter, Eisele, Lewin, Eklund, Niina, Evans, David M., Faul, Jessica D., Feitosa, Mary F., Forstner, Andreas J., Gandin, Ilaria, Gunnarsson, Bjarni, Halldórsson, Bjarni V., Harris, Tamara B., Heath, Andrew C., Hocking, Lynne J., Holliday, Elizabeth G., Homuth, Georg, Horan, Michael A., Hottenga, Jouke-Jan, de Jager, Philip L., Joshi, Peter K., Jugessur, Astanand, Kaakinen, Marika A., Kähönen, Mika, Kanoni, Stavroula, Keltigangas-Järvinen, Liisa, Kiemeney, Lambertus A. L. M., Kolcic, Ivana, Koskinen, Seppo, Kraja, Aldi T., Kroh, Martin, Kutalik, Zoltan, Latvala, Antti, Launer, Lenore J., Lebreton, Maël P., Levinson, Douglas F., Lichtenstein, Paul, Lichtner, Peter, Liewald, David C. M., Loukola, Anu, Madden, Pamela A., Mägi, Reedik, Mäki-Opas, Tomi, Marioni, Riccardo E., Marques-Vidal, Pedro, Meddens, Gerardus A., McMahon, George, Meisinger, Christa, Meitinger, Thomas, Milaneschi, Yusplitri, Milani, Lili, Montgomery, Grant W., Myhre, Ronny, Nelson, Christopher P., Nyholt, Dale R., Ollier, William E. R., Palotie, Aarno, Paternoster, Lavinia, Pedersen, Nancy L., Petrovic, Katja E., Räikkönen, Katri, Ring, Susan M., Robino, Antonietta, Rostapshova, Olga, Rudan, Igor, Rustichini, Aldo, Salomaa, Veikko, Sanders, Alan R., Sarin, Antti-Pekka, Schmidt, Helena, Scott, Rodney J., Smith, Blair H., Smith, Jennifer A., Staessen, Jan A., Steinhagen-Thiessen, Elisabeth, Strauch, Konstantin, Terracciano, Antonio, Tobin, Martin D., Ulivi, Sheila, Vaccargiu, Simona, Quaye, Lydia, van Rooij, Frank J. A., Venturini, Cristina, Vinkhuyzen, Anna A. E., Völker, Uwe, Völzke, Henry, Vonk, Judith M., Vozzi, Diego, Waage, Johannes, Ware, Erin B., Willemsen, Gonneke, Attia, John R., Bennett, David A., Berger, Klaus, Bertram, Lars, Bisgaard, Hans, Boomsma, Dorret I., Borecki, Ingrid B., Bültmann, Ute, Chabris, Christopher F., Cucca, Francesco, Cusi, Daniele, Deary, Ian J., Dedoussis, George V., van Duijn, Cornelia M., Eriksson, Johan G., Franke, Barbara, Franke, Lude, Gasparini, Paolo, Gejman, Pablo V., Gieger, Christian, Grabe, Hans-Jörgen, Gratten, Jacob, Groenen, Patrick J. F., Gudnason, Vilmundur, van der Harst, Pim, Hoffmann, Wolfgang, Hyppönen, Elina, Iacono, William G., Jacobsson, Bo, Järvelin, Marjo-Riitta, Jöckel, Karl-Heinz, Kaprio, Jaakko, Kardia, Sharon L. R., Lehtimäki, Terho, Lehrer, Steven F., Martin, Nicholas G., McGue, Matt, Metspalu, Andres, Pendleton, Neil, Penninx, Brenda W. J. H., Perola, Markus, Pirastu, Nicola, Pirastu, Mario, Polasek, Ozren, Posthuma, Danielle, Power, Christine, Province, Michael A., Samani, Nilesh J., Schlessinger, David, Schmidt, Reinhold, Sørensen, Thorkild I. A., Spector, Tim D., Stefansson, Kari, Thorsteinsdottir, Unnur, Thurik, A. Roy, Timpson, Nicholas J., Tiemeier, Henning, Uitterlinden, André G., Vitart, Veronique, Vollenweider, Peter, Weir, David R., Wilson, James F., Wright, Alan F., Conley, Dalton C., Krueger, Robert F., Smith, George Davey, Hofman, Albert, Laibson, David I., Medland, Sarah E., Yang, Jian, Esko, Tõnu, Watson, Chelsea, Jala, Jonathan, Conley, Dalton, Koellinger, Philipp D., Johannesson, Magnus, Laibson, David, Meyer, Michelle N., Lee, James J., Kong, Augustine, Yengo, Loic, Cesarini, David, Turley, Patrick, Visscher, Peter M., Beauchamp, Jonathan P., Benjamin, Daniel J., Young, Alexander I., Economics, Tinbergen Institute, Amsterdam Neuroscience - Complex Trait Genetics, 23andMe Research Team [Member of the MPIB: Tian Liu], Social Science Genetic Association Consortium, Okbay, Aysu, Wu, Yeda, Wang, Nancy, Jayashankar, Hariharan, Bennett, Michael, Moeen Nehzati, Seyed, Sidorenko, Julia, Kweon, Hyeokmoon, Goldman, Grant, Gjorgjieva, Tamara, Jiang, Yunxuan, Hicks, Barry, Tian, Chao, Hinds, David A., Ahlskog, Rafael, Magnusson, Patrik K. E., Oskarsson, Sven, Hayward, Caroline, Campbell, Archie, Porteous, David J., Freese, Jeremy, Herd, Pamela, Agee, Michelle, Alipanahi, Babak, Auton, Adam, Bell, Robert K., Bryc, Katarzyna, Elson, Sarah L., Fontanillas, Pierre, Furlotte, Nicholas A., Huber, Karen E., Kleinman, Aaron, Litterman, Nadia K., Mccreight, Jennifer C., Mcintyre, Matthew H., Mountain, Joanna L., Northover, Carrie A. M., Pitts, Steven J., Fah Sathirapongsasuti, J., Sazonova, Olga V., Shelton, Janie F., Shringarpure, Suyash, Tung, Joyce Y., Vacic, Vladimir, Wilson, Catherine H., Alan Fontana, Mark, Pers, Tune H., Rietveld, Cornelius A., Chen, Guo-Bo, Emilsson, Valur, Meddens, S. Fleur W., Pickrell, Joseph K., Thom, Kevin, Timshel, Pascal, de Vlaming, Ronald, Abdellaoui, Abdel, Ahluwalia, Tarunveer S., Bacelis, Jona, Baumbach, Clemen, Bjornsdottir, Gyda, Brandsma, Johannes H., Concas, MARIA PINA, Derringer, Jaime, Galesloot, Tessel E., Girotto, Giorgia, Gupta, Richa, Hall, Leanne M., Harris, Sarah E., Hofer, Edith, Horikoshi, Momoko, Huffman, Jennifer E., Kaasik, Kadri, Kalafati, Ioanna P., Karlsson, Robert, Lahti, Jari, van der Lee, Sven J., de Leeuw, Christiaan, Lind, Penelope A., Lindgren, Karl-Oskar, Liu, Tian, Mangino, Massimo, Marten, Jonathan, Mihailov, Evelin, Miller, Michael B., van der Most, Peter J., Oldmeadow, Christopher, Payton, Antony, Pervjakova, Natalia, Peyrot, Wouter J., Qian, Yong, Raitakari, Olli, Rueedi, Rico, Salvi, Erika, Schmidt, B??rge, Schraut, Katharina E., Shi, Jianxin, Smith, Albert V., Poot, Raymond A., St Pourcain, Beate, Teumer, Alexander, Thorleifsson, Gudmar, Verweij, Niek, Vuckovic, Dragana, Wellmann, Juergen, Westra, Harm-Jan, Yang, Jingyun, Zhao, Wei, Zhu, Zhihong, Alizadeh, Behrooz Z., Amin, Najaf, Bakshi, Andrew, Baumeister, Sebastian E., Biino, Ginevra, B??nnelykke, Klau, Boyle, Patricia A., Campbell, Harry, Cappuccio, Francesco P., Davies, Gail, De Neve, Jan-Emmanuel, Deloukas, Pano, Demuth, Ilja, Ding, Jun, Eibich, Peter, Eisele, Lewin, Eklund, Niina, Evans, David M., Faul, Jessica D., Feitosa, Mary F., Forstner, Andreas J., Gandin, Ilaria, Gunnarsson, Bjarni, Halld??rsson, Bjarni V., Harris, Tamara B., Heath, Andrew C., Hocking, Lynne J., Holliday, Elizabeth G., Homuth, Georg, Horan, Michael A., Hottenga, Jouke-Jan, de Jager, Philip L., Joshi, Peter K., Jugessur, Astanand, Kaakinen, Marika A., K??h??nen, Mika, Kanoni, Stavroula, Keltigangas-J??rvinen, Liisa, Kiemeney, Lambertus A. L. M., Kolcic, Ivana, Koskinen, Seppo, Kraja, Aldi T., Kroh, Martin, Kutalik, Zoltan, Latvala, Antti, Launer, Lenore J., Lebreton, Ma??l P., Levinson, Douglas F., Lichtenstein, Paul, Lichtner, Peter, Liewald, David C. M., Loukola, Anu, Madden, Pamela A., M??gi, Reedik, M??ki-Opas, Tomi, Marioni, Riccardo E., Marques-Vidal, Pedro, Meddens, Gerardus A., Mcmahon, George, Meisinger, Christa, Meitinger, Thoma, Milaneschi, Yusplitri, Milani, Lili, Montgomery, Grant W., Myhre, Ronny, Nelson, Christopher P., Nyholt, Dale R., Ollier, William E. R., Palotie, Aarno, Paternoster, Lavinia, Pedersen, Nancy L., Petrovic, Katja E., R??ikk??nen, Katri, Ring, Susan M., Robino, Antonietta, Rostapshova, Olga, Rudan, Igor, Rustichini, Aldo, Salomaa, Veikko, Sanders, Alan R., Sarin, Antti-Pekka, Schmidt, Helena, Scott, Rodney J., Smith, Blair H., Smith, Jennifer A., Staessen, Jan A., Steinhagen-Thiessen, Elisabeth, Strauch, Konstantin, Terracciano, Antonio, Tobin, Martin D., Ulivi, Sheila, Vaccargiu, Simona, Quaye, Lydia, van Rooij, Frank J. A., Venturini, Cristina, Vinkhuyzen, Anna A. E., V??lker, Uwe, V??lzke, Henry, Vonk, Judith M., Vozzi, Diego, Waage, Johanne, Ware, Erin B., Willemsen, Gonneke, Attia, John R., Bennett, David A., Berger, Klau, Bertram, Lar, Bisgaard, Han, Boomsma, Dorret I., Borecki, Ingrid B., B??ltmann, Ute, Chabris, Christopher F., Cucca, Francesco, Cusi, Daniele, Deary, Ian J., Dedoussis, George V., van Duijn, Cornelia M., Eriksson, Johan G., Franke, Barbara, Franke, Lude, Gasparini, Paolo, Gejman, Pablo V., Gieger, Christian, Grabe, Hans-J??rgen, Gratten, Jacob, Groenen, Patrick J. F., Gudnason, Vilmundur, van der Harst, Pim, Hoffmann, Wolfgang, Hypp??nen, Elina, Iacono, William G., Jacobsson, Bo, J??rvelin, Marjo-Riitta, J??ckel, Karl-Heinz, Kaprio, Jaakko, Kardia, Sharon L. R., Lehtim??ki, Terho, Lehrer, Steven F., Martin, Nicholas G., Mcgue, Matt, Metspalu, Andre, Pendleton, Neil, Penninx, Brenda W. J. H., Perola, Marku, Pirastu, Nicola, Pirastu, Mario, Polasek, Ozren, Posthuma, Danielle, Power, Christine, Province, Michael A., Samani, Nilesh J., Schlessinger, David, Schmidt, Reinhold, S??rensen, Thorkild I. A., Spector, Tim D., Stefansson, Kari, Thorsteinsdottir, Unnur, Roy Thurik, A., Timpson, Nicholas J., Tiemeier, Henning, Uitterlinden, Andr?? G., Vitart, Veronique, Vollenweider, Peter, Weir, David R., Wilson, James F., Wright, Alan F., Conley, Dalton C., Krueger, Robert F., Davey Smith, George, Hofman, Albert, Laibson, David I., Medland, Sarah E., Yang, Jian, Esko, T??nu, Watson, Chelsea, Jala, Jonathan, Conley, Dalton, Koellinger, Philipp D., Johannesson, Magnu, Laibson, David, Meyer, Michelle N., Lee, James J., Kong, Augustine, Yengo, Loic, Cesarini, David, Turley, Patrick, Visscher, Peter M., Beauchamp, Jonathan P., Benjamin, Daniel J., Young, Alexander I., VU University medical center, Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Human genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, APH - Mental Health, APH - Digital Health, Schmidt, Börge (Beitragende*r), Eisele, Lewin (Beitragende*r), Jöckel, Karl-Heinz (Beitragende*r), Life Course Epidemiology (LCE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Groningen Research Institute for Asthma and COPD (GRIAC), Public Health Research (PHR), Stem Cell Aging Leukemia and Lymphoma (SALL), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC), Adult Psychiatry, Applied Economics, Epidemiology, Cell biology, Econometrics, Erasmus School of Economics, Child and Adolescent Psychiatry / Psychology, Internal Medicine, Department of Public Health, Institute for Molecular Medicine Finland, Department of Psychology and Logopedics, Doctoral Programme in Human Behaviour, Doctoral Programme in Cognition, Learning, Instruction and Communication, Department of Diagnostics and Therapeutics, Doctoral Programme Brain & Mind, Doctoral Programme in Population Health, HUSLAB, Research Programs Unit, Centre of Excellence in Complex Disease Genetics, Aarno Palotie / Principal Investigator, Genomics of Neurological and Neuropsychiatric Disorders, Doctoral Programme in Integrative Life Science, Doctoral Programme in Clinical Research, Department of General Practice and Primary Health Care, Johan Eriksson / Principal Investigator, Doctoral Programme in Oral Sciences, Clinicum, and Doctoral Programme in Biomedicine

Subjects
Multifactorial Inheritance, Medizin, HUMAN COMPLEX TRAITS, COHORT PROFILE, BIOBANK, GENETICS, MODELS, HEALTH, LOCI, GWAS, Polymorphism, Single Nucleotide/genetics, genome-wide-significant single-nucleotide polymorphisms (SNPs), Polymorphism, Single Nucleotide, educational attainment, Genetics, Humans, 3111 Biomedicine, ddc:610, Medical Genetics, Multifactorial Inheritance/genetics, Medicinsk genetik, Genome-Wide Association Study
Abstract

We conduct a genome-wide association study (GWAS) of educational attainment (EA) in a sample of similar to 3 million individuals and identify 3,952 approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A genome-wide polygenic predictor, or polygenic index (PGI), explains 12-16% of EA variance and contributes to risk prediction for ten diseases. Direct effects (i.e., controlling for parental PGIs) explain roughly half the PGI's magnitude of association with EA and other phenotypes. The correlation between mate-pair PGIs is far too large to be consistent with phenotypic assortment alone, implying additional assortment on PGI-associated factors. In an additional GWAS of dominance deviations from the additive model, we identify no genome-wide-significant SNPs, and a separate X-chromosome additive GWAS identifies 57. Karl-Oskar Lindgren ingår i gruppen Social Science Genetic Association Consortium

Published
2022

28. Low copy numbers of complementC4andC4Adeficiency are risk factors for myositis, its subgroups and autoantibodies

Author

Zhou, Danlei, primary, King, Emily H, additional, Rothwell, Simon, additional, Krystufkova, Olga, additional, Notarnicola, Antonella, additional, Coss, Samantha, additional, Abdul-Aziz, Rabheh, additional, Miller, Katherine E, additional, Dang, Amanda, additional, Yu, G Richard, additional, Drew, Joanne, additional, Lundström, Emeli, additional, Pachman, Lauren M, additional, Mamyrova, Gulnara, additional, Curiel, Rodolfo V, additional, De Paepe, Boel, additional, De Bleecker, Jan L, additional, Payton, Antony, additional, Ollier, William, additional, O'Hanlon, Terrance P, additional, Targoff, Ira N, additional, Flegel, Willy A, additional, Sivaraman, Vidya, additional, Oberle, Edward, additional, Akoghlanian, Shoghik, additional, Driest, Kyla, additional, Spencer, Charles H, additional, Wu, Yee Ling, additional, Nagaraja, Haikady N, additional, Ardoin, Stacy P, additional, Chinoy, Hector, additional, Rider, Lisa G, additional, Miller, Frederick W, additional, Lundberg, Ingrid E, additional, Padyukov, Leonid, additional, Vencovský, Jiří, additional, Lamb, Janine A, additional, and Yu, Chack-Yung, additional

Published
2022
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30. A systematic scoping review of Later Life Learning (LLL): how has LLL been conceptualized and measured in the ‘learning and health’ literature?

Author

Sfakianaki, Ourania, Shryane, Nick, Brown, Laura, and Payton, Antony

Subjects
FOS: Psychology, Sociology, Geriatrics, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Medicine and Health Sciences, Medical Specialties, Psychology, Adult and Continuing Education, Social and Behavioral Sciences, Gerontology, Education, FOS: Sociology
Abstract

Scoping review protocol

Published
2022
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37. Low copy numbers of complement C4 and C4A deficiency are risk factors for myositis, its subgroups and autoantibodies.

Author

Zhou, Danlei, King, Emily H., Rothwell, Simon, Krystufkova, Olga, Notarnicola, Antonella, Coss, Samantha, Abdul-Aziz, Rabheh, Miller, Katherine E., Dang, Amanda, Yu, G. Richard, Drew, Joanne, Lundström, Emeli, Pachman, Lauren M., Mamyrova, Gulnara, Curiel, Rodolfo V., De Paepe, Boel, De Bleecker, Jan L., Payton, Antony, Ollier, William, and O'Hanlon, Terrance P.

Published
2023
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38. Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences

Author

Karlsson Linnér, Richard, Biroli, Pietro, Kong, Edward, Meddens, S. Fleur W., Wedow, Robbee, Fontana, Mark Alan, Lebreton, Maël, Tino, Stephen P., Abdellaoui, Abdel, Hammerschlag, Anke R., Nivard, Michel G., Okbay, Aysu, Rietveld, Cornelius A., Timshel, Pascal N., Trzaskowski, Maciej, Vlaming, Ronald de, Zünd, Christian L., Bao, Yanchun, Buzdugan, Laura, Caplin, Ann H., Chen, Chia-Yen, Eibich, Peter, Fontanillas, Pierre, Gonzalez, Juan R., Joshi, Peter K., Karhunen, Ville, Kleinman, Aaron, Levin, Remy Z., Lill, Christina M., Meddens, Gerardus A., Muntané, Gerard, Sanchez-Roige, Sandra, Rooij, Frank J. van, Taskesen, Erdogan, Yang, Wu, Zhang, Futao, Agee, Michelle, Alipanahi, Babak, Bell, Robert K., Bryc, Katarzyna, Elson, Sarah L., Furlotte, Nicholas A., Huber, Karen E., Litterman, Nadia K., Mccreight, Jennifer C., Mcintyre, Matthew H., Mountain, Joanna L., Northover, Carrie A. M., Pitts, Steven J., Sathirapongsasuti, J. Fah, Sazonova, Olga V., Shelton, Janie F., Shringarpure, Suyash, Tian, Chao, Tung, Joyce Y., Vacic, Vladimir, Wilson, Catherine H., Agbessi, Mawussé, Ahsan, Habibul, Alves, Isabel, Andiappan, Anand, Awadalla, Philip, Battle, Alexis, Beutner, Frank, Jan Bonder, Marc, Boomsma, Dorret I., Christiansen, Mark, Claringbould, Annique, Deelen, Patrick, Esko, Tõnu, Favé, Marie-Julie, Franke, Lude, Frayling, Timothy, Gharib, Sina A., Gibson, Gregory, Heijmans, Bastiaan, Hemani, Gibran, Jansen, Rick, Kähönen, Mika, Kalnapenkis, Anette, Kasela, Silva, Kettunen, Johannes, Kim, Yungil, Kirsten, Holger, Kovacs, Peter, Krohn, Knut, Kronberg-Guzman, Jaanika, Kukushkina, Viktorija, Kutalik, Zoltan, Lee, Bernett, Lehtimäki, Terho, Loeffler, Markus, Marigorta, Urko M., Metspalu, Andres, Milani, Lili, Montgomery, Grant W., Müller-Nurasyid, Martina, Nauck, Matthias, Penninx, Brenda, Perola, Markus, Pervjakova, Natalia, Pierce, Brandon, Powell, Joseph, Prokisch, Holger, Psaty, Bruce M., Raitakari, Olli, Ring, Susan, Ripatti, Samuli, Rotzchke, Olaf, Rüeger, Sina, Saha, Ashis, Scholz, Markus, Schramm, Katharina, Seppälä, Ilkka, Stumvoll, Michael, Sullivan, Patrick, Hoen, Peter-Bram t, Teumer, Alexander, Thiery, Joachim, Tong, Lin, Tönjes, Anke, Dongen, Jenny van, Meurs, Joyce van, Verlouw, Joost, Visscher, Peter M., Völker, Uwe, Võsa, Urmo, Westra, Harm-Jan, Yaghootkar, Hanieh, Yang, Jian, Zeng, Biao, Beauchamp, Jonathan P., Lee, James J., Pers, Tune H., Turley, Patrick, Chen, Guo-Bo, Emilsson, Valur, Oskarsson, Sven, Pickrell, Joseph K., Thom, Kevin, Timshel, Pascal, de Vlaming, Ronald, Ahluwalia, Tarunveer S., Bacelis, Jonas, Baumbach, Clemens, Bjornsdottir, Gyda, Brandsma, Johannes H., Concas, Maria Pina, Derringer, Jaime, Galesloot, Tessel E., Girotto, Giorgia, Gupta, Richa, Hall, Leanne M., Harris, Sarah E., Hofer, Edith, Horikoshi, Momoko, Huffman, Jennifer E., Kaasik, Kadri, Kalafati, Ioanna P., Karlsson, Robert, Kong, Augustine, Lahti, Jari, Lee, Sven J. van der, de Leeuw, Christiaan, Lind, Penelope A., Lindgren, Karl-Oskar, Liu, Tian, Mangino, Massimo, Marten, Jonathan, Mihailov, Evelin, Miller, Michael B., Most, Peter J. van der, Oldmeadow, Christopher, Payton, Antony, Peyrot, Wouter J., Qian, Yong, Rueedi, Rico, Salvi, Erika, Schmidt, Börge, Schraut, Katharina E., Shi, Jianxin, Smith, Albert V., Poot, Raymond A., Pourcain, Beate St, Thorleifsson, Gudmar, Verweij, Niek, Vuckovic, Dragana, Wellmann, Juergen, Yang, Jingyun, Zhao, Wei, Zhu, Zhihong, Alizadeh, Behrooz Z., Amin, Najaf, Bakshi, Andrew, Baumeister, Sebastian E., Biino, Ginevra, Bønnelykke, Klaus, Boyle, Patricia A., Campbell, Harry, Cappuccio, Francesco P., Davies, Gail, De Neve, Jan-Emmanuel, Deloukas, Panos, Demuth, Ilja, Ding, Jun, Eisele, Lewin, Eklund, Niina, Evans, David M., Faul, Jessica D., Feitosa, Mary F., Forstner, Andreas J., Gandin, Ilaria, Gunnarsson, Bjarni, Halldórsson, Bjarni V., Harris, Tamara B., Heath, Andrew C., Hocking, Lynne J., Holliday, Elizabeth G., Homuth, Georg, Horan, Michael A., Hottenga, Jouke-Jan, de Jager, Philip L., Jugessur, Astanand, Kaakinen, Marika A., Kanoni, Stavroula, Keltigangas-Järvinen, Liisa, Kiemeney, Lambertus A. L. M., Kolcic, Ivana, Koskinen, Seppo, Kraja, Aldi T., Kroh, Martin, Latvala, Antti, Launer, Lenore J., Lebreton, Maël P., Levinson, Douglas F., Lichtenstein, Paul, Lichtner, Peter, Liewald, David C. M., Loukola, Anu, Madden, Pamela A., Mägi, Reedik, Mäki-Opas, Tomi, Marioni, Riccardo E., Marques-Vidal, Pedro, Mcmahon, George, Meisinger, Christa, Meitinger, Thomas, Milaneschi, Yusplitri, Myhre, Ronny, Nelson, Christopher P., Nyholt, Dale R., Ollier, William E. R., Palotie, Aarno, Paternoster, Lavinia, Pedersen, Nancy L., Petrovic, Katja E., Porteous, David J., Räikkönen, Katri, Ring, Susan M., Robino, Antonietta, Rostapshova, Olga, Rudan, Igor, Rustichini, Aldo, Salomaa, Veikko, Sanders, Alan R., Sarin, Antti-Pekka, Schmidt, Helena, Scott, Rodney J., Smith, Blair H., Smith, Jennifer A., Staessen, Jan A., Steinhagen-Thiessen, Elisabeth, Strauch, Konstantin, Terracciano, Antonio, Tobin, Martin D., Ulivi, Sheila, Vaccargiu, Simona, Quaye, Lydia, Venturini, Cristina, Vinkhuyzen, Anna A. 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L. M., Kolcic, Ivana, Koskinen, Seppo, Kraja, Aldi T., Kroh, Martin, Latvala, Antti, Launer, Lenore J., Lebreton, Maël P., Levinson, Douglas F., Lichtenstein, Paul, Lichtner, Peter, Liewald, David C. M., Loukola, Anu, Madden, Pamela A., Mägi, Reedik, Mäki-Opas, Tomi, Marioni, Riccardo E., Marques-Vidal, Pedro, Mcmahon, George, Meisinger, Christa, Meitinger, Thoma, Milaneschi, Yusplitri, Myhre, Ronny, Nelson, Christopher P., Nyholt, Dale R., Ollier, William E. R., Palotie, Aarno, Paternoster, Lavinia, Pedersen, Nancy L., Petrovic, Katja E., Porteous, David J., Räikkönen, Katri, Ring, Susan M., Robino, Antonietta, Rostapshova, Olga, Rudan, Igor, Rustichini, Aldo, Salomaa, Veikko, Sanders, Alan R., Sarin, Antti-Pekka, Schmidt, Helena, Scott, Rodney J., Smith, Blair H., Smith, Jennifer A., Staessen, Jan A., Steinhagen-Thiessen, Elisabeth, Strauch, Konstantin, Terracciano, Antonio, Tobin, Martin D., Ulivi, Sheila, Vaccargiu, Simona, Quaye, Lydia, Venturini, Cristina, Vinkhuyzen, Anna A. E., Völzke, Henry, Vonk, Judith M., Vozzi, Diego, Waage, Johanne, Ware, Erin B., Willemsen, Gonneke, Attia, John R., Bennett, David A., Berger, Klau, Bertram, Lar, Bisgaard, Han, Borecki, Ingrid B, Bültmann, Ute, Chabris, Christopher F., Cucca, Francesco, Cusi, Daniele, Deary, Ian J., Dedoussis, George V., Duijn, Cornelia M. van, Eriksson, Johan G., Franke, Barbara, Gasparini, Paolo, Gejman, Pablo V., Gieger, Christian, Grabe, Hans-Jörgen, Gratten, Jacob, Groenen, Patrick J. F., Gudnason, Vilmundur, Harst, Pim van der, Hayward, Caroline, Hinds, David A., Hoffmann, Wolfgang, Hyppönen, Elina, Iacono, William G., Jacobsson, Bo, Järvelin, Marjo-Riitta, Jöckel, Karl-Heinz, Kaprio, Jaakko, Kardia, Sharon L. R., Lehrer, Steven F., Magnusson, Patrik K. E., Martin, Nicholas G., Mcgue, Matt, Pendleton, Neil, Pirastu, Nicola, Pirastu, Mario, Polasek, Ozren, Posthuma, Danielle, Power, Christine, Province, Michael A., Samani, Nilesh J., Schlessinger, David, Schmidt, Reinhold, Sørensen, Thorkild I. A., Spector, Tim D., Stefansson, Kari, Thorsteinsdottir, Unnur, Thurik, A. Roy, Timpson, Nicholas J., Tiemeier, Henning, Uitterlinden, André G., Vitart, Veronique, Vollenweider, Peter, Weir, David R., Wilson, James F., Wright, Alan F., Conley, Dalton C., Krueger, Robert F., Smith, George Davey, Hofman, Albert, Laibson, David I., Medland, Sarah E., Meyer, Michelle N., Johannesson, Magnu, Koellinger, Philipp D., Cesarini, David, Benjamin, Daniel J., Auton, Adam, Boardman, Jason D., Clark, David W., Conlin, Andrew, Dolan, Conor C., Fischbacher, Ur, Harris, Kathleen Mullan, Hasler, Gregor, Ikram, Mohammad A., Jain, Sonia, Kessler, Ronald C., Kooyman, Maarten, Mackillop, Jame, Männikkö, Minna, Morcillo-Suarez, Carlo, Mcqueen, Matthew B., Schmidt, Klaus M., Smart, Melissa C., Sutter, Matthia, White, Jon, Wit, Harriet de, Fehr, Ernst, Kumari, Meena, Laibson, David, Navarro, Arcadi, Palmer, Abraham A., Schunk, Daniel, Stein, Murray B., Svento, Rauli, Timmers, Paul R. H. J., Ursano, Robert J., Wagner, Gert G., Applied Economics, Hematology, Epidemiology, Urology, Department of Marketing Management, Internal Medicine, Medical Informatics, Cell biology, Erasmus MC other, Molecular Genetics, Econometrics, Child and Adolescent Psychiatry / Psychology, Radiology & Nuclear Medicine, Epidemiologie, RS: CARIM - R3.02 - Hypertension and target organ damage, RS: Carim - V02 Hypertension and target organ damage, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Public Health Research (PHR), Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Stem Cell Aging Leukemia and Lymphoma (SALL), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Linnér, Richard Karlsson, Biroli , Pietro, Meddens, S Fleur W, and Beauchamp, Jonathan P

Subjects
Netherlands Twin Register (NTR), Male, LD, Medizin, Poison control, Genome-wide association study, DETERMINANTS, Cathie Marsh Institute, PREFERENCES, Q1, Genome-wide association studies, HV, 0302 clinical medicine, Genetics, Behavioral/methods, GWAS, Genetics & Heredity, Genetics, 0303 health sciences, PERSONALITY, Genetic Predisposition to Disease/genetics, Behavior/physiology, Polymorphism, Single Nucleotide/genetics, 3. Good health, Manchester Institute for Collaborative Research on Ageing, Meta-analysis, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Genetic Loci/genetics, Behavioural genetics, Genome-Wide Association Study/methods, Medical genetics, Female, Life Sciences & Biomedicine, Single Nucleotide/genetics, medicine.medical_specialty, ResearchInstitutes_Networks_Beacons/MICRA, Genotype, Single-nucleotide polymorphism, Genetics, Behavioral, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, All institutes and research themes of the Radboud University Medical Center, SDG 3 - Good Health and Well-being, ddc:330, medicine, GENDER-DIFFERENCES, SNP, Humans, Genetic Predisposition to Disease, Polymorphism, behavioural genetics, Behavioral/methods, 030304 developmental biology, Genetic association, Behavior, Science & Technology, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Data Science, Case-control study, risk tolerance, GWAS, genetic architechture, Genetic Loci, Case-Control Studies, genome-wide association studies, ResearchInstitutes_Networks_Beacons/cathie_marsh_institute, Nanomedicine Radboud Institute for Molecular Life Sciences [Radboudumc 19], 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Humans vary substantially in their willingness to take risks. In a combined sample of over 1 million individuals, we conducted genome-wide association studies (GWAS) of general risk tolerance, adventurousness, and risky behaviors in the driving, drinking, smoking, and sexual domains. Across all GWAS, we identified hundreds of associated loci, including 99 loci associated with general risk tolerance. We report evidence of substantial shared genetic influences across risk tolerance and the risky behaviors: 46 of the 99 general risk tolerance loci contain a lead SNP for at least one of our other GWAS, and general risk tolerance is genetically correlated ([Formula: see text] ~ 0.25 to 0.50) with a range of risky behaviors. Bioinformatics analyses imply that genes near SNPs associated with general risk tolerance are highly expressed in brain tissues and point to a role for glutamatergic and GABAergic neurotransmission. We found no evidence of enrichment for genes previously hypothesized to relate to risk tolerance. This research was carried out under the auspices of the Social Science Genetic Association Consortium. The research was also conducted using the UK Biobank Resource under application number 11425. The study was supported by funding from the Ragnar Söderberg Foundation (E9/11 and E42/15); the Swedish Research Council (421-2013-1061); the Jan Wallander and Tom Hedelius Foundation; an ERC Consolidator Grant to Philipp Koellinger (647648 EdGe); the Pershing Square Fund of the Foundations of Human Behavior; the Open Philanthropy Project; the National Institute on Aging, National Institutes of Health through grants P01-AG005842, P01-AG005842-20S2, P30-AG012810, and T32-AG000186-23 to the National Bureau of Economic Research and R01-AG042568-02 to the University of Southern California; the government of Canada through Genome Canada and the Ontario Genomics Institute (OGI-152); and the Social Sciences and Humanities Research Council of Canada. We thank the International Cannabis Consortium, the eQTLgen Consortium, and the Psychiatric Genomics Consortium for sharing summary statistics from the GWAS of lifetime cannabis use, eQTL summary statistics, and summary statistics from the GWAS of ADHD, respectively. A full list of acknowledgments is provided in the Supplementary Note.

Published
2019

41. Independent evidence for an association between general cognitive ability and a genetic locus for educational attainment

Author

Trampush, Joey W., Lencz, Todd, Knowles, Emma, Davies, Gail, Guha, Saurav, Peʼer, Itsik, Liewald, David C., Starr, John M., Djurovic, Srdjan, Melle, Ingrid, Sundet, Kjetil, Christoforou, Andrea, Reinvang, Ivar, Mukherjee, Semanti, DeRosse, Pamela, Lundervold, Astri, Steen, Vidar M., John, Majnu, Espeseth, Thomas, Räikkönen, Katri, Widen, Elisabeth, Palotie, Aarno, Eriksson, Johan G., Giegling, Ina, Konte, Bettina, Ikeda, Masashi, Roussos, Panos, Giakoumaki, Stella, Burdick, Katherine E., Payton, Antony, Ollier, William, Horan, Mike, Scult, Matthew, Dickinson, Dwight, Straub, Richard E., Donohoe, Gary, Morris, Derek, Corvin, Aiden, Gill, Michael, Hariri, Ahmad, Weinberger, Daniel R., Pendleton, Neil, Iwata, Nakao, Darvasi, Ariel, Bitsios, Panos, Rujescu, Dan, Lahti, Jari, Le Hellard, Stephanie, Keller, Matthew C., Andreassen, Ole A., Deary, Ian J., Glahn, David C., and Malhotra, Anil K.

Published
2015
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43. Superior Frontal Gyrus TOMM40-APOE Locus DNA Methylation in Alzheimer’s Disease

Author

Bezuch, Natalia, Bradburn, Steven, Robinson, Andrew C, Pendleton, Neil, Payton, Antony, Murgatroyd, Chris, Bezuch, Natalia, Bradburn, Steven, Robinson, Andrew C, Pendleton, Neil, Payton, Antony, and Murgatroyd, Chris

Abstract

Background: The APOE ɛ4 allele is the strongest known genetic risk factor for sporadic Alzheimer’s disease (AD). The neighboring TOMM40 gene has also been implicated in AD due to its close proximity to APOE. Objective: Here we tested whether methylation of the TOMM40-APOE locus may influence ApoE protein levels and AD pathology. Methods: DNA methylation levels across the TOMM40-APOE locus and ApoE levels were measured in superior frontal gyrus tissues of 62 human brains genotyped for APOE and scored for AD neuropathology. Results: Methylation levels within the TOMM40 CpG island in the promoter or APOE CpG island in Exon 4 did not differ between APOE ɛ4 carriers versus non-carriers. However, APOE ɛ4 carriers had significantly higher methylation the APOE promoter compared with non-carriers. Although DNA methylation at TOMM40, APOE promoter region, or APOE did not differ between AD pathological groups, there was a negative association between TOMM40 methylation and CERAD scores. ApoE protein concentrations did not significantly different between APOE ɛ4 carriers and non-carriers, or between AD pathological groups. Finally, there was no correlation between ApoE protein concentrations and DNA methylation levels. Conclusion: APOE gene methylation may not be affected by genotype, relate to AD pathology or ApoE protein levels in the superior frontal gyrus, though, DNA methylation at the ApoE promoter differed between genotype. DNA methylation at TOMM40 associated with amyloid-β plaques and longitudinal fluid intelligence. In sum, these results suggest a complicated regulation of the TOMM40-APOE locus in the brain in controlling ApoE protein levels and AD neuropathology.

Published
2021

45. No Association Between Cholinergic Muscarinic Receptor 2 (CHRM2) Genetic Variation and Cognitive Abilities in Three Independent Samples

Author

Lind, Penelope A., Luciano, Michelle, Horan, Michael A., Marioni, Riccardo E., Wright, Margaret J., Bates, Timothy C., Rabbitt, Patrick, Harris, Sarah E., Davidson, Yvonne, Deary, Ian J., Gibbons, Linda, Pickles, Andrew, Ollier, William, Pendleton, Neil, Price, Jackie F., Payton, Antony, and Martin, Nicholas G.

Published
2009
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47. Associations between chronotype and employment status in a longitudinal study of an elderly population.

Author

Didikoglu, Altug, Walker, Benjamin, Maharani, Asri, Pendleton, Neil, Canal, Maria Mercè, Payton, Antony, Gibson, Jon, and Brown, Timothy

Subjects
OLDER people, SLEEP interruptions, OCCUPATIONAL achievement, LONGITUDINAL method, EDUCATIONAL outcomes
Abstract

Individuals with an 'evening' chronotype tend to sleep and wake later than people described to be 'morning' type if given a free choice. Since early awakening times, due to school and occupation, may be more challenging for those with evening chronotype, they are expected to be at greater risk of adverse health, occupational and educational outcomes. Our objectives are to investigate associations between chronotype and occupational, educational and health outcomes in a longitudinal cohort. We use sleep, sociodemographic and health data from The University of Manchester Longitudinal Study of Cognition in Normal Healthy Old Age, 1982 through 2010. The relationship between employment and longitudinal midsleep trajectories were estimated using linear mixed models. Associations between employment status and Cornell Medical Index, Beck Depression Inventory scores, cortisol concentrations at different times of the day stratified by chronotype were estimated using regression. The relationship between chronotype, occupational success, education, and cognition were also examined using regression methods. In older adults, compared to non-employed participants, employed participants get up 0.45 hours earlier. Evening-type employed individuals had earlier midsleep time compared to their non-employed counterparts and had abnormal longitudinal trajectories with an increasing trend as they aged. Employed individuals with evening chronotype had a higher risk of depression than employed morning-types. Moreover, employed individuals with evening chronotype had a higher cortisol concentration at 14:00 h than non-employed individuals. In addition, memory score was lower in individuals with morning chronotype, however processing speed was higher in individuals with morning chronotype compared to evening. Morning-types had a higher age when they finished full time education. Relative to evening-types, those with morning chronotype were 6.5% more likely to be in a job classed as professional or intermediate. Our findings suggest that evening-types are at a disadvantage with regards to occupational, educational and health outcomes in older adults due to their vulnerability to circadian and sleep disruption. [ABSTRACT FROM AUTHOR]

Published
2022
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48. The effect of season of birth on brain epigenome-wide DNA methylation of older adults.

Author

Didikoglu, Altug, Nair, Nisha, Robinson, Andrew C., Roncaroli, Federico, Pendleton, Neil, Payton, Antony, and Canal, Maria M.

Subjects
DNA methylation, OLDER people, EPIGENOMICS, CLOCK genes, METHYLATION, HUMAN DNA, TEMPORAL lobe
Abstract

Perinatal light exposure predisposes towards health and behaviour in adulthood. Season of birth is associated with psychiatric, allergic, cardiovascular and metabolic problems. It has been proposed that early-life environmental light disrupts the development of biological rhythms which, in turn, influence later-life health. However, the mechanisms linking perinatal seasonal light to later-life biological rhythm and health in humans are unknown. In this study, we investigated the association between season of birth and epigenome-wide DNA methylation of two postmortem human brain regions (16 hypothalamus, 14 temporal cortex). We did not find statistically significant differences at the whole epigenome level, either because we lacked statistical power or that no association exists. However, when we examined 24 CpG sites that had the highest significance or differential methylation, we identified regions which may be associated with circadian rhythm entrainment, cholinergic neurotransmission and neural development. Amongst methylation of the core clock genes, we identified that hypothalamus Neuronal PAS Domain Protein 2 (NPAS2) gene has hypermethylated regions in long photoperiod-born individuals. In addition, we found nominal associations between season of birth and genes linked to chronotype and narcolepsy. Season of birth-related brain DNA methylation profile was different than a previously reported blood methylation profile, suggesting a tissue-specific mechanism of perinatal light programming. Overall, we are the first to analyse the relationship between season of birth and human brain DNA methylation. Further studies with larger sample sizes are required to confirm an imprinting effect of perinatal light on the circadian clock. [ABSTRACT FROM AUTHOR]

Published
2022
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