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12 results on '"Als, Thomas D."'

1. Genome-wide by Environment Interaction Study of Stressful Life Events and Hospital-Treated Depression in the iPSYCH2012 Sample

Author

Suppli, Nis P, Andersen, Klaus K, Agerbo, Esben, Rajagopal, Veera M, Appadurai, Vivek, Coleman, Jonathan RI, Breen, Gerome, Bybjerg-Grauholm, Jonas, Bækvad-Hansen, Marie, Pedersen, Carsten B, Pedersen, Marianne G, Thompson, Wesley K, Munk-Olsen, Trine, Benros, Michael E, Als, Thomas D, Grove, Jakob, Werge, Thomas, Børglum, Anders D, Hougaard, David M, Mors, Ole, Nordentoft, Merete, Mortensen, Preben B, and Musliner, Katherine L

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Human Genome, Depression, Mental Health, Mental health, Good Health and Well Being, Case-cohort studies, GXE, Register-based research, Stress
Abstract

BackgroundResearchers have long investigated a hypothesized interaction between genetic risk and stressful life events in the etiology of depression, but studies on the topic have yielded inconsistent results.MethodsWe conducted a genome-wide by environment interaction study (GWEIS) in 18,532 patients with depression from hospital-based settings and 20,184 population controls. All individuals were drawn from the iPSYCH2012 case-cohort study, a nationally representative sample identified from Danish national registers. Information on stressful life events including family disruption, serious medical illness, death of a first-degree relative, parental disability, and child maltreatment was identified from the registers and operationalized as a time-varying count variable. Hazard ratios for main and interaction effects were estimated using Cox regressions weighted to accommodate the case-cohort design. Our replication sample included 22,880 depression cases and 50,378 controls from the UK Biobank.ResultsThe GWEIS in the iPSYCH2012 sample yielded three novel, genome-wide-significant (p < 5 × 10-8) loci located in the ABCC1 gene (rs56076205, p = 3.7 × 10-10), the AKAP6 gene (rs3784187, p = 1.2 × 10-8), and near the MFSD1 gene (rs340315, p = 4.5 × 10-8). No hits replicated in the UK Biobank (rs56076205: p = .87; rs3784187: p = .93; rs340315: p = .71).ConclusionsIn this large, population-based GWEIS, we did not find any replicable hits for interaction. Future gene-by-stress research in depression should focus on establishing even larger collaborative GWEISs to attain sufficient power.

Published
2022

2. Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology

Author

Mullins, Niamh, Forstner, Andreas J, O’Connell, Kevin S, Coombes, Brandon, Coleman, Jonathan RI, Qiao, Zhen, Als, Thomas D, Bigdeli, Tim B, Børte, Sigrid, Bryois, Julien, Charney, Alexander W, Drange, Ole Kristian, Gandal, Michael J, Hagenaars, Saskia P, Ikeda, Masashi, Kamitaki, Nolan, Kim, Minsoo, Krebs, Kristi, Panagiotaropoulou, Georgia, Schilder, Brian M, Sloofman, Laura G, Steinberg, Stacy, Trubetskoy, Vassily, Winsvold, Bendik S, Won, Hong-Hee, Abramova, Liliya, Adorjan, Kristina, Agerbo, Esben, Al Eissa, Mariam, Albani, Diego, Alliey-Rodriguez, Ney, Anjorin, Adebayo, Antilla, Verneri, Antoniou, Anastasia, Awasthi, Swapnil, Baek, Ji Hyun, Bækvad-Hansen, Marie, Bass, Nicholas, Bauer, Michael, Beins, Eva C, Bergen, Sarah E, Birner, Armin, Bøcker Pedersen, Carsten, Bøen, Erlend, Boks, Marco P, Bosch, Rosa, Brum, Murielle, Brumpton, Ben M, Brunkhorst-Kanaan, Nathalie, Budde, Monika, Bybjerg-Grauholm, Jonas, Byerley, William, Cairns, Murray, Casas, Miquel, Cervantes, Pablo, Clarke, Toni-Kim, Cruceanu, Cristiana, Cuellar-Barboza, Alfredo, Cunningham, Julie, Curtis, David, Czerski, Piotr M, Dale, Anders M, Dalkner, Nina, David, Friederike S, Degenhardt, Franziska, Djurovic, Srdjan, Dobbyn, Amanda L, Douzenis, Athanassios, Elvsåshagen, Torbjørn, Escott-Price, Valentina, Ferrier, I Nicol, Fiorentino, Alessia, Foroud, Tatiana M, Forty, Liz, Frank, Josef, Frei, Oleksandr, Freimer, Nelson B, Frisén, Louise, Gade, Katrin, Garnham, Julie, Gelernter, Joel, Giørtz Pedersen, Marianne, Gizer, Ian R, Gordon, Scott D, Gordon-Smith, Katherine, Greenwood, Tiffany A, Grove, Jakob, Guzman-Parra, José, Ha, Kyooseob, Haraldsson, Magnus, Hautzinger, Martin, Heilbronner, Urs, Hellgren, Dennis, Herms, Stefan, Hoffmann, Per, Holmans, Peter A, Huckins, Laura, Jamain, Stéphane, Johnson, Jessica S, and Kalman, Janos L

Subjects
Biological Sciences, Genetics, Biotechnology, Serious Mental Illness, Human Genome, Bipolar Disorder, Neurosciences, Brain Disorders, Mental Health, Aetiology, 2.1 Biological and endogenous factors, Neurological, Mental health, Good Health and Well Being, Case-Control Studies, Chromosomes, Human, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Major Histocompatibility Complex, Multifactorial Inheritance, Phenotype, Quantitative Trait Loci, Risk Factors, HUNT All-In Psychiatry, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Bipolar disorder is a heritable mental illness with complex etiology. We performed a genome-wide association study of 41,917 bipolar disorder cases and 371,549 controls of European ancestry, which identified 64 associated genomic loci. Bipolar disorder risk alleles were enriched in genes in synaptic signaling pathways and brain-expressed genes, particularly those with high specificity of expression in neurons of the prefrontal cortex and hippocampus. Significant signal enrichment was found in genes encoding targets of antipsychotics, calcium channel blockers, antiepileptics and anesthetics. Integrating expression quantitative trait locus data implicated 15 genes robustly linked to bipolar disorder via gene expression, encoding druggable targets such as HTR6, MCHR1, DCLK3 and FURIN. Analyses of bipolar disorder subtypes indicated high but imperfect genetic correlation between bipolar disorder type I and II and identified additional associated loci. Together, these results advance our understanding of the biological etiology of bipolar disorder, identify novel therapeutic leads and prioritize genes for functional follow-up studies.

Published
2021

3. A polygenic resilience score moderates the genetic risk for schizophrenia

Author

Hess, Jonathan L, Tylee, Daniel S, Mattheisen, Manuel, Børglum, Anders D, Als, Thomas D, Grove, Jakob, Werge, Thomas, Mortensen, Preben Bo, Mors, Ole, Nordentoft, Merete, Hougaard, David M, Byberg-Grauholm, Jonas, Bækvad-Hansen, Marie, Greenwood, Tiffany A, Tsuang, Ming T, Curtis, David, Steinberg, Stacy, Sigurdsson, Engilbert, Stefánsson, Hreinn, Stefánsson, Kári, Edenberg, Howard J, Holmans, Peter, Faraone, Stephen V, and Glatt, Stephen J

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical and Health Psychology, Clinical Sciences, Psychology, Schizophrenia, Serious Mental Illness, Genetics, Mental Health, Brain Disorders, Prevention, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, Alleles, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Humans, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Risk Factors, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

Based on the discovery by the Resilience Project (Chen R. et al. Nat Biotechnol 34:531-538, 2016) of rare variants that confer resistance to Mendelian disease, and protective alleles for some complex diseases, we posited the existence of genetic variants that promote resilience to highly heritable polygenic disorders1,0 such as schizophrenia. Resilience has been traditionally viewed as a psychological construct, although our use of the term resilience refers to a different construct that directly relates to the Resilience Project, namely: heritable variation that promotes resistance to disease by reducing the penetrance of risk loci, wherein resilience and risk loci operate orthogonal to one another. In this study, we established a procedure to identify unaffected individuals with relatively high polygenic risk for schizophrenia, and contrasted them with risk-matched schizophrenia cases to generate the first known "polygenic resilience score" that represents the additive contributions to SZ resistance by variants that are distinct from risk loci. The resilience score was derived from data compiled by the Psychiatric Genomics Consortium, and replicated in three independent samples. This work establishes a generalizable framework for finding resilience variants for any complex, heritable disorder.

Published
2021

4. Risk variants and polygenic architecture of disruptive behavior disorders in the context of attention-deficit/hyperactivity disorder

Author

Demontis, Ditte, Walters, Raymond K, Rajagopal, Veera M, Waldman, Irwin D, Grove, Jakob, Als, Thomas D, Dalsgaard, Søren, Ribasés, Marta, Bybjerg-Grauholm, Jonas, Bækvad-Hansen, Maria, Werge, Thomas, Nordentoft, Merete, Mors, Ole, Mortensen, Preben Bo, Cormand, Bru, Hougaard, David M, Neale, Benjamin M, Franke, Barbara, Faraone, Stephen V, and Børglum, Anders D

Subjects
Biological Sciences, Genetics, Psychology, Pediatric, Attention Deficit Hyperactivity Disorder (ADHD), Prevention, Mental Health, Violence Research, Brain Disorders, Human Genome, Behavioral and Social Science, 2.1 Biological and endogenous factors, Aetiology, Mental health, Attention Deficit Disorder with Hyperactivity, Attention Deficit and Disruptive Behavior Disorders, Child, China, Cohort Studies, Comorbidity, Europe, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Risk Factors, ADHD Working Group of the Psychiatric Genomics Consortium
Abstract

Attention-Deficit/Hyperactivity Disorder (ADHD) is a childhood psychiatric disorder often comorbid with disruptive behavior disorders (DBDs). Here, we report a GWAS meta-analysis of ADHD comorbid with DBDs (ADHD + DBDs) including 3802 cases and 31,305 controls. We identify three genome-wide significant loci on chromosomes 1, 7, and 11. A meta-analysis including a Chinese cohort supports that the locus on chromosome 11 is a strong risk locus for ADHD + DBDs across European and Chinese ancestries (rs7118422, P = 3.15×10-10, OR = 1.17). We find a higher SNP heritability for ADHD + DBDs (h2SNP = 0.34) when compared to ADHD without DBDs (h2SNP = 0.20), high genetic correlations between ADHD + DBDs and aggressive (rg = 0.81) and anti-social behaviors (rg = 0.82), and an increased burden (polygenic score) of variants associated with ADHD and aggression in ADHD + DBDs compared to ADHD without DBDs. Our results suggest an increased load of common risk variants in ADHD + DBDs compared to ADHD without DBDs, which in part can be explained by variants associated with aggressive behavior.

Published
2021

5. Publisher Correction: Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection

Author

Pardiñas, Antonio F, Holmans, Peter, Pocklington, Andrew J, Escott-Price, Valentina, Ripke, Stephan, Carrera, Noa, Legge, Sophie E, Bishop, Sophie, Cameron, Darren, Hamshere, Marian L, Han, Jun, Hubbard, Leon, Lynham, Amy, Mantripragada, Kiran, Rees, Elliott, MacCabe, James H, McCarroll, Steven A, Baune, Bernhard T, Breen, Gerome, Byrne, Enda M, Dannlowski, Udo, Eley, Thalia C, Hayward, Caroline, Martin, Nicholas G, McIntosh, Andrew M, Plomin, Robert, Porteous, David J, Wray, Naomi R, Caballero, Armando, Geschwind, Daniel H, Huckins, Laura M, Ruderfer, Douglas M, Santiago, Enrique, Sklar, Pamela, Stahl, Eli A, Won, Hyejung, Agerbo, Esben, Als, Thomas D, Andreassen, Ole A, Bækvad-Hansen, Marie, Mortensen, Preben Bo, Pedersen, Carsten Bøcker, Børglum, Anders D, Bybjerg-Grauholm, Jonas, Djurovic, Srdjan, Durmishi, Naser, Pedersen, Marianne Giørtz, Golimbet, Vera, Grove, Jakob, Hougaard, David M, Mattheisen, Manuel, Molden, Espen, Mors, Ole, Nordentoft, Merete, Pejovic-Milovancevic, Milica, Sigurdsson, Engilbert, Silagadze, Teimuraz, Hansen, Christine Søholm, Stefansson, Kari, Stefansson, Hreinn, Steinberg, Stacy, Tosato, Sarah, Werge, Thomas, Collier, David A, Rujescu, Dan, Kirov, George, Owen, Michael J, O’Donovan, Michael C, and Walters, James TR

Subjects
GERAD1 Consortium, CRESTAR Consortium, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2019

6. Publisher Correction: Gene expression imputation across multiple brain regions provides insights into schizophrenia risk

Author

Huckins, Laura M, Dobbyn, Amanda, Ruderfer, Douglas M, Hoffman, Gabriel, Wang, Weiqing, Pardiñas, Antonio F, Rajagopal, Veera M, Als, Thomas D, T. Nguyen, Hoang, Girdhar, Kiran, Boocock, James, Roussos, Panos, Fromer, Menachem, Kramer, Robin, Domenici, Enrico, Gamazon, Eric R, Purcell, Shaun, Demontis, Ditte, Børglum, Anders D, Walters, James TR, O’Donovan, Michael C, Sullivan, Patrick, Owen, Michael J, Devlin, Bernie, Sieberts, Solveig K, Cox, Nancy J, Im, Hae Kyung, Sklar, Pamela, and Stahl, Eli A

Subjects
Genetics, Neurosciences, Human Genome, Serious Mental Illness, Schizophrenia, Brain Disorders, Mental Health, Biotechnology, Mental health, CommonMind Consortium, Schizophrenia Working Group of the Psychiatric Genomics Consortium, iPSYCH-GEMS Schizophrenia Working Group, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

In the HTML version of the article originally published, the author group 'The Schizophrenia Working Group of the Psychiatric Genomics Consortium' was displayed incorrectly. The error has been corrected in the HTML version of the article.

Published
2019

7. Genome-wide association study identifies 30 loci associated with bipolar disorder

Author

Stahl, Eli A, Breen, Gerome, Forstner, Andreas J, McQuillin, Andrew, Ripke, Stephan, Trubetskoy, Vassily, Mattheisen, Manuel, Wang, Yunpeng, Coleman, Jonathan RI, Gaspar, Héléna A, de Leeuw, Christiaan A, Steinberg, Stacy, Pavlides, Jennifer M Whitehead, Trzaskowski, Maciej, Byrne, Enda M, Pers, Tune H, Holmans, Peter A, Richards, Alexander L, Abbott, Liam, Agerbo, Esben, Akil, Huda, Albani, Diego, Alliey-Rodriguez, Ney, Als, Thomas D, Anjorin, Adebayo, Antilla, Verneri, Awasthi, Swapnil, Badner, Judith A, Bækvad-Hansen, Marie, Barchas, Jack D, Bass, Nicholas, Bauer, Michael, Belliveau, Richard, Bergen, Sarah E, Pedersen, Carsten Bøcker, Bøen, Erlend, Boks, Marco P, Boocock, James, Budde, Monika, Bunney, William, Burmeister, Margit, Bybjerg-Grauholm, Jonas, Byerley, William, Casas, Miquel, Cerrato, Felecia, Cervantes, Pablo, Chambert, Kimberly, Charney, Alexander W, Chen, Danfeng, Churchhouse, Claire, Clarke, Toni-Kim, Coryell, William, Craig, David W, Cruceanu, Cristiana, Curtis, David, Czerski, Piotr M, Dale, Anders M, de Jong, Simone, Degenhardt, Franziska, Del-Favero, Jurgen, DePaulo, J Raymond, Djurovic, Srdjan, Dobbyn, Amanda L, Dumont, Ashley, Elvsåshagen, Torbjørn, Escott-Price, Valentina, Fan, Chun Chieh, Fischer, Sascha B, Flickinger, Matthew, Foroud, Tatiana M, Forty, Liz, Frank, Josef, Fraser, Christine, Freimer, Nelson B, Frisén, Louise, Gade, Katrin, Gage, Diane, Garnham, Julie, Giambartolomei, Claudia, Pedersen, Marianne Giørtz, Goldstein, Jaqueline, Gordon, Scott D, Gordon-Smith, Katherine, Green, Elaine K, Green, Melissa J, Greenwood, Tiffany A, Grove, Jakob, Guan, Weihua, Guzman-Parra, José, Hamshere, Marian L, Hautzinger, Martin, Heilbronner, Urs, Herms, Stefan, Hipolito, Maria, Hoffmann, Per, Holland, Dominic, Huckins, Laura, Jamain, Stéphane, Johnson, Jessica S, and Juréus, Anders

Subjects
Biological Sciences, Genetics, Serious Mental Illness, Mental Health, Human Genome, Brain Disorders, Schizophrenia, Aetiology, 2.1 Biological and endogenous factors, Mental health, Bipolar Disorder, Case-Control Studies, Depressive Disorder, Major, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Polymorphism, Single Nucleotide, Psychotic Disorders, Systems Biology, eQTLGen Consortium, BIOS Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Bipolar disorder is a highly heritable psychiatric disorder. We performed a genome-wide association study (GWAS) including 20,352 cases and 31,358 controls of European descent, with follow-up analysis of 822 variants with P

Published
2019

8. Gene expression imputation across multiple brain regions provides insights into schizophrenia risk

Author

Huckins, Laura M, Dobbyn, Amanda, Ruderfer, Douglas M, Hoffman, Gabriel, Wang, Weiqing, Pardiñas, Antonio F, Rajagopal, Veera M, Als, Thomas D, T. Nguyen, Hoang, Girdhar, Kiran, Boocock, James, Roussos, Panos, Fromer, Menachem, Kramer, Robin, Domenici, Enrico, Gamazon, Eric R, Purcell, Shaun, Demontis, Ditte, Børglum, Anders D, Walters, James TR, O’Donovan, Michael C, Sullivan, Patrick, Owen, Michael J, Devlin, Bernie, Sieberts, Solveig K, Cox, Nancy J, Im, Hae Kyung, Sklar, Pamela, and Stahl, Eli A

Subjects
Biological Sciences, Genetics, Mental Health, Brain Disorders, Human Genome, Schizophrenia, 2.1 Biological and endogenous factors, Aetiology, Mental health, Brain, Case-Control Studies, Gene Expression, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk, Transcriptome, CommonMind Consortium, Schizophrenia Working Group of the Psychiatric Genomics Consortium, iPSYCH-GEMS Schizophrenia Working Group, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex genome-wide association study (GWAS) loci and may disentangle the role of different tissues in disease development. We used the largest eQTL reference panel for the dorso-lateral prefrontal cortex (DLPFC) to create a set of gene expression predictors and demonstrate their utility. We applied DLPFC and 12 GTEx-brain predictors to 40,299 schizophrenia cases and 65,264 matched controls for a large transcriptomic imputation study of schizophrenia. We identified 413 genic associations across 13 brain regions. Stepwise conditioning identified 67 non-MHC genes, of which 14 did not fall within previous GWAS loci. We identified 36 significantly enriched pathways, including hexosaminidase-A deficiency, and multiple porphyric disorder pathways. We investigated developmental expression patterns among the 67 non-MHC genes and identified specific groups of pre- and postnatal expression.

Published
2019

9. Identification of common genetic risk variants for autism spectrum disorder

Author

Grove, Jakob, Ripke, Stephan, Als, Thomas D, Mattheisen, Manuel, Walters, Raymond K, Won, Hyejung, Pallesen, Jonatan, Agerbo, Esben, Andreassen, Ole A, Anney, Richard, Awashti, Swapnil, Belliveau, Rich, Bettella, Francesco, Buxbaum, Joseph D, Bybjerg-Grauholm, Jonas, Bækvad-Hansen, Marie, Cerrato, Felecia, Chambert, Kimberly, Christensen, Jane H, Churchhouse, Claire, Dellenvall, Karin, Demontis, Ditte, De Rubeis, Silvia, Devlin, Bernie, Djurovic, Srdjan, Dumont, Ashley L, Goldstein, Jacqueline I, Hansen, Christine S, Hauberg, Mads Engel, Hollegaard, Mads V, Hope, Sigrun, Howrigan, Daniel P, Huang, Hailiang, Hultman, Christina M, Klei, Lambertus, Maller, Julian, Martin, Joanna, Martin, Alicia R, Moran, Jennifer L, Nyegaard, Mette, Nærland, Terje, Palmer, Duncan S, Palotie, Aarno, Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, dPoterba, Timothy, Poulsen, Jesper Buchhave, Pourcain, Beate St, Qvist, Per, Rehnström, Karola, Reichenberg, Abraham, Reichert, Jennifer, Robinson, Elise B, Roeder, Kathryn, Roussos, Panos, Saemundsen, Evald, Sandin, Sven, Satterstrom, F Kyle, Davey Smith, George, Stefansson, Hreinn, Steinberg, Stacy, Stevens, Christine R, Sullivan, Patrick F, Turley, Patrick, Walters, G Bragi, Xu, Xinyi, Stefansson, Kari, Geschwind, Daniel H, Nordentoft, Merete, Hougaard, David M, Werge, Thomas, Mors, Ole, Mortensen, Preben Bo, Neale, Benjamin M, Daly, Mark J, and Børglum, Anders D

Subjects
Intellectual and Developmental Disabilities (IDD), Human Genome, Pediatric, Brain Disorders, Autism, Biotechnology, Genetics, Mental Health, Prevention, 2.3 Psychological, social and economic factors, Aetiology, 2.1 Biological and endogenous factors, Mental health, Adolescent, Autism Spectrum Disorder, Case-Control Studies, Child, Child, Preschool, Denmark, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Multifactorial Inheritance, Phenotype, Polymorphism, Single Nucleotide, Risk Factors, Autism Spectrum Disorder Working Group of the Psychiatric Genomics Consortium, BUPGEN, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, 23andMe Research Team, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Autism spectrum disorder (ASD) is a highly heritable and heterogeneous group of neurodevelopmental phenotypes diagnosed in more than 1% of children. Common genetic variants contribute substantially to ASD susceptibility, but to date no individual variants have been robustly associated with ASD. With a marked sample-size increase from a unique Danish population resource, we report a genome-wide association meta-analysis of 18,381 individuals with ASD and 27,969 controls that identified five genome-wide-significant loci. Leveraging GWAS results from three phenotypes with significantly overlapping genetic architectures (schizophrenia, major depression, and educational attainment), we identified seven additional loci shared with other traits at equally strict significance levels. Dissecting the polygenic architecture, we found both quantitative and qualitative polygenic heterogeneity across ASD subtypes. These results highlight biological insights, particularly relating to neuronal function and corticogenesis, and establish that GWAS performed at scale will be much more productive in the near term in ASD.

Published
2019

10. Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder.

Author

Demontis, Ditte, Walters, Raymond K, Martin, Joanna, Mattheisen, Manuel, Als, Thomas D, Agerbo, Esben, Baldursson, Gísli, Belliveau, Rich, Bybjerg-Grauholm, Jonas, Bækvad-Hansen, Marie, Cerrato, Felecia, Chambert, Kimberly, Churchhouse, Claire, Dumont, Ashley, Eriksson, Nicholas, Gandal, Michael, Goldstein, Jacqueline I, Grasby, Katrina L, Grove, Jakob, Gudmundsson, Olafur O, Hansen, Christine S, Hauberg, Mads Engel, Hollegaard, Mads V, Howrigan, Daniel P, Huang, Hailiang, Maller, Julian B, Martin, Alicia R, Martin, Nicholas G, Moran, Jennifer, Pallesen, Jonatan, Palmer, Duncan S, Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Poterba, Timothy, Poulsen, Jesper Buchhave, Ripke, Stephan, Robinson, Elise B, Satterstrom, F Kyle, Stefansson, Hreinn, Stevens, Christine, Turley, Patrick, Walters, G Bragi, Won, Hyejung, Wright, Margaret J, ADHD Working Group of the Psychiatric Genomics Consortium (PGC), Early Lifecourse & Genetic Epidemiology (EAGLE) Consortium, 23andMe Research Team, Andreassen, Ole A, Asherson, Philip, Burton, Christie L, Boomsma, Dorret I, Cormand, Bru, Dalsgaard, Søren, Franke, Barbara, Gelernter, Joel, Geschwind, Daniel, Hakonarson, Hakon, Haavik, Jan, Kranzler, Henry R, Kuntsi, Jonna, Langley, Kate, Lesch, Klaus-Peter, Middeldorp, Christel, Reif, Andreas, Rohde, Luis Augusto, Roussos, Panos, Schachar, Russell, Sklar, Pamela, Sonuga-Barke, Edmund JS, Sullivan, Patrick F, Thapar, Anita, Tung, Joyce Y, Waldman, Irwin D, Medland, Sarah E, Stefansson, Kari, Nordentoft, Merete, Hougaard, David M, Werge, Thomas, Mors, Ole, Mortensen, Preben Bo, Daly, Mark J, Faraone, Stephen V, Børglum, Anders D, and Neale, Benjamin M

Subjects
ADHD Working Group of the Psychiatric Genomics Consortium, Early Lifecourse & Genetic Epidemiology (EAGLE) Consortium, 23andMe Research Team, Brain, Humans, Genetic Predisposition to Disease, Risk, Cohort Studies, Attention Deficit Disorder with Hyperactivity, Gene Expression Regulation, Polymorphism, Single Nucleotide, Adolescent, Child, Child, Preschool, Female, Male, Genome-Wide Association Study, Genetic Loci, Clinical Research, Mental Health, Human Genome, Pediatric, Prevention, Genetics, Brain Disorders, Attention Deficit Hyperactivity Disorder (ADHD), Behavioral and Social Science, Aetiology, 2.1 Biological and endogenous factors, Mental health, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Attention deficit/hyperactivity disorder (ADHD) is a highly heritable childhood behavioral disorder affecting 5% of children and 2.5% of adults. Common genetic variants contribute substantially to ADHD susceptibility, but no variants have been robustly associated with ADHD. We report a genome-wide association meta-analysis of 20,183 individuals diagnosed with ADHD and 35,191 controls that identifies variants surpassing genome-wide significance in 12 independent loci, finding important new information about the underlying biology of ADHD. Associations are enriched in evolutionarily constrained genomic regions and loss-of-function intolerant genes and around brain-expressed regulatory marks. Analyses of three replication studies: a cohort of individuals diagnosed with ADHD, a self-reported ADHD sample and a meta-analysis of quantitative measures of ADHD symptoms in the population, support these findings while highlighting study-specific differences on genetic overlap with educational attainment. Strong concordance with GWAS of quantitative population measures of ADHD symptoms supports that clinical diagnosis of ADHD is an extreme expression of continuous heritable traits.

Published
2019

11. Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes

Author

Consortium, Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics, Ruderfer, Douglas M, Ripke, Stephan, McQuillin, Andrew, Boocock, James, Stahl, Eli A, Pavlides, Jennifer M Whitehead, Mullins, Niamh, Charney, Alexander W, Ori, Anil PS, Loohuis, Loes M Olde, Domenici, Enrico, Di Florio, Arianna, Papiol, Sergi, Kalman, Janos L, Trubetskoy, Vassily, Adolfsson, Rolf, Agartz, Ingrid, Agerbo, Esben, Akil, Huda, Albani, Diego, Albus, Margot, Alda, Martin, Alexander, Madeline, Alliey-Rodriguez, Ney, Als, Thomas D, Amin, Farooq, Anjorin, Adebayo, Arranz, Maria J, Awasthi, Swapnil, Bacanu, Silviu A, Badner, Judith A, Baekvad-Hansen, Marie, Bakker, Steven, Band, Gavin, Barchas, Jack D, Barroso, Ines, Bass, Nicholas, Bauer, Michael, Baune, Bernhard T, Begemann, Martin, Bellenguez, Celine, Belliveau, Richard A, Bellivier, Frank, Bender, Stephan, Bene, Judit, Bergen, Sarah E, Berrettini, Wade H, Bevilacqua, Elizabeth, Biernacka, Joanna M, Bigdeli, Tim B, Black, Donald W, Blackburn, Hannah, Blackwell, Jenefer M, Blackwood, Douglas HR, Pedersen, Carsten Bocker, Boehnke, Michael, Boks, Marco, Borglum, Anders D, Bramon, Elvira, Breen, Gerome, Brown, Matthew A, Bruggeman, Richard, Buccola, Nancy G, Buckner, Randy L, Budde, Monika, Bulik-Sullivan, Brendan, Bumpstead, Suzannah J, Bunney, William, Burmeister, Margit, Buxbaum, Joseph D, Bybjerg-Grauholm, Jonas, Byerley, William, Cahn, Wiepke, Cai, Guiqing, Cairns, Murray J, Campion, Dominique, Cantor, Rita M, Carr, Vaughan J, Carrera, Noa, Casas, Juan P, Casas, Miquel, Catts, Stanley V, Cervantes, Pablo, Chambert, Kimberley D, Chan, Raymond CK, Chen, Eric YH, Chen, Ronald YL, Cheng, Wei, Cheung, Eric FC, Chong, Siow Ann, Clarke, Toni-Kim, Cloninger, C Robert, Cohen, David, Cohen, Nadine, Coleman, Jonathan RI, Collier, David A, Cormican, Paul, Coryell, William, and Craddock, Nicholas

Subjects
Human Genome, Neurosciences, Serious Mental Illness, Bipolar Disorder, Biotechnology, Schizophrenia, Brain Disorders, Genetics, Mental Health, Mental health, Good Health and Well Being, Case-Control Studies, Genetic Loci, Genome-Wide Association Study, Humans, Multifactorial Inheritance, Odds Ratio, Phenotype, Risk, White People, Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics Consortium. Electronic address: douglas.ruderfer@vanderbilt.edu, Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics Consortium, bipolar disorder, polygenic risk, psychosis, schizophrenia, subphenotypes, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Schizophrenia and bipolar disorder are two distinct diagnoses that share symptomology. Understanding the genetic factors contributing to the shared and disorder-specific symptoms will be crucial for improving diagnosis and treatment. In genetic data consisting of 53,555 cases (20,129 bipolar disorder [BD], 33,426 schizophrenia [SCZ]) and 54,065 controls, we identified 114 genome-wide significant loci implicating synaptic and neuronal pathways shared between disorders. Comparing SCZ to BD (23,585 SCZ, 15,270 BD) identified four genomic regions including one with disorder-independent causal variants and potassium ion response genes as contributing to differences in biology between the disorders. Polygenic risk score (PRS) analyses identified several significant correlations within case-only phenotypes including SCZ PRS with psychotic features and age of onset in BD. For the first time, we discover specific loci that distinguish between BD and SCZ and identify polygenic components underlying multiple symptom dimensions. These results point to the utility of genetics to inform symptomology and potential treatment.

Published
2018

12. Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection

Author

Pardiñas, Antonio F, Holmans, Peter, Pocklington, Andrew J, Escott-Price, Valentina, Ripke, Stephan, Carrera, Noa, Legge, Sophie E, Bishop, Sophie, Cameron, Darren, Hamshere, Marian L, Han, Jun, Hubbard, Leon, Lynham, Amy, Mantripragada, Kiran, Rees, Elliott, MacCabe, James H, McCarroll, Steven A, Baune, Bernhard T, Breen, Gerome, Byrne, Enda M, Dannlowski, Udo, Eley, Thalia C, Hayward, Caroline, Martin, Nicholas G, McIntosh, Andrew M, Plomin, Robert, Porteous, David J, Wray, Naomi R, Caballero, Armando, Geschwind, Daniel H, Huckins, Laura M, Ruderfer, Douglas M, Santiago, Enrique, Sklar, Pamela, Stahl, Eli A, Won, Hyejung, Agerbo, Esben, Als, Thomas D, Andreassen, Ole A, Bækvad-Hansen, Marie, Mortensen, Preben Bo, Pedersen, Carsten Bøcker, Børglum, Anders D, Bybjerg-Grauholm, Jonas, Djurovic, Srdjan, Durmishi, Naser, Pedersen, Marianne Giørtz, Golimbet, Vera, Grove, Jakob, Hougaard, David M, Mattheisen, Manuel, Molden, Espen, Mors, Ole, Nordentoft, Merete, Pejovic-Milovancevic, Milica, Sigurdsson, Engilbert, Silagadze, Teimuraz, Hansen, Christine Søholm, Stefansson, Kari, Stefansson, Hreinn, Steinberg, Stacy, Tosato, Sarah, Werge, Thomas, GERAD1 Consortium, CRESTAR Consortium, Collier, David A, Rujescu, Dan, Kirov, George, Owen, Michael J, O’Donovan, Michael C, and Walters, James TR

Subjects
Serious Mental Illness, Brain Disorders, Human Genome, Genetics, Mental Health, Biotechnology, Schizophrenia, 2.1 Biological and endogenous factors, Aetiology, Mental health, Good Health and Well Being, Alleles, Case-Control Studies, Gene Frequency, Genes, Lethal, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Inheritance Patterns, Polymorphism, Single Nucleotide, Selection, Genetic, GERAD1 Consortium, CRESTAR Consortium, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Schizophrenia is a debilitating psychiatric condition often associated with poor quality of life and decreased life expectancy. Lack of progress in improving treatment outcomes has been attributed to limited knowledge of the underlying biology, although large-scale genomic studies have begun to provide insights. We report a new genome-wide association study of schizophrenia (11,260 cases and 24,542 controls), and through meta-analysis with existing data we identify 50 novel associated loci and 145 loci in total. Through integrating genomic fine-mapping with brain expression and chromosome conformation data, we identify candidate causal genes within 33 loci. We also show for the first time that the common variant association signal is highly enriched among genes that are under strong selective pressures. These findings provide new insights into the biology and genetic architecture of schizophrenia, highlight the importance of mutation-intolerant genes and suggest a mechanism by which common risk variants persist in the population.

Published
2018

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