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1. Mapping genomic loci implicates genes and synaptic biology in schizophrenia

Author

Trubetskoy, Vassily, Pardiñas, Antonio F, Qi, Ting, Panagiotaropoulou, Georgia, Awasthi, Swapnil, Bigdeli, Tim B, Bryois, Julien, Chen, Chia-Yen, Dennison, Charlotte A, Hall, Lynsey S, Lam, Max, Watanabe, Kyoko, Frei, Oleksandr, Ge, Tian, Harwood, Janet C, Koopmans, Frank, Magnusson, Sigurdur, Richards, Alexander L, Sidorenko, Julia, Wu, Yang, Zeng, Jian, Grove, Jakob, Kim, Minsoo, Li, Zhiqiang, Voloudakis, Georgios, Zhang, Wen, Adams, Mark, Agartz, Ingrid, Atkinson, Elizabeth G, Agerbo, Esben, Al Eissa, Mariam, Albus, Margot, Alexander, Madeline, Alizadeh, Behrooz Z, Alptekin, Köksal, Als, Thomas D, Amin, Farooq, Arolt, Volker, Arrojo, Manuel, Athanasiu, Lavinia, Azevedo, Maria Helena, Bacanu, Silviu A, Bass, Nicholas J, Begemann, Martin, Belliveau, Richard A, Bene, Judit, Benyamin, Beben, Bergen, Sarah E, Blasi, Giuseppe, Bobes, Julio, Bonassi, Stefano, Braun, Alice, Bressan, Rodrigo Affonseca, Bromet, Evelyn J, Bruggeman, Richard, Buckley, Peter F, Buckner, Randy L, Bybjerg-Grauholm, Jonas, Cahn, Wiepke, Cairns, Murray J, Calkins, Monica E, Carr, Vaughan J, Castle, David, Catts, Stanley V, Chambert, Kimberley D, Chan, Raymond CK, Chaumette, Boris, Cheng, Wei, Cheung, Eric FC, Chong, Siow Ann, Cohen, David, Consoli, Angèle, Cordeiro, Quirino, Costas, Javier, Curtis, Charles, Davidson, Michael, Davis, Kenneth L, de Haan, Lieuwe, Degenhardt, Franziska, DeLisi, Lynn E, Demontis, Ditte, Dickerson, Faith, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Duan, Jubao, Ducci, Giuseppe, Dudbridge, Frank, Eriksson, Johan G, Fañanás, Lourdes, Faraone, Stephen V, Fiorentino, Alessia, Forstner, Andreas, Frank, Josef, Freimer, Nelson B, Fromer, Menachem, Frustaci, Alessandra, Gadelha, Ary, Genovese, Giulio, and Gershon, Elliot S

Subjects
Brain Disorders, Human Genome, Mental Health, Schizophrenia, Serious Mental Illness, Biotechnology, Neurosciences, Genetics, Aetiology, 2.1 Biological and endogenous factors, Alleles, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Humans, Polymorphism, Single Nucleotide, Indonesia Schizophrenia Consortium, PsychENCODE, Psychosis Endophenotypes International Consortium, SynGO Consortium, Schizophrenia Working Group of the Psychiatric Genomics Consortium, General Science & Technology
Abstract

Schizophrenia has a heritability of 60-80%1, much of which is attributable to common risk alleles. Here, in a two-stage genome-wide association study of up to 76,755 individuals with schizophrenia and 243,649 control individuals, we report common variant associations at 287 distinct genomic loci. Associations were concentrated in genes that are expressed in excitatory and inhibitory neurons of the central nervous system, but not in other tissues or cell types. Using fine-mapping and functional genomic data, we identify 120 genes (106 protein-coding) that are likely to underpin associations at some of these loci, including 16 genes with credible causal non-synonymous or untranslated region variation. We also implicate fundamental processes related to neuronal function, including synaptic organization, differentiation and transmission. Fine-mapped candidates were enriched for genes associated with rare disruptive coding variants in people with schizophrenia, including the glutamate receptor subunit GRIN2A and transcription factor SP4, and were also enriched for genes implicated by such variants in neurodevelopmental disorders. We identify biological processes relevant to schizophrenia pathophysiology; show convergence of common and rare variant associations in schizophrenia and neurodevelopmental disorders; and provide a resource of prioritized genes and variants to advance mechanistic studies.

Published
2022

2. Rare coding variants in ten genes confer substantial risk for schizophrenia.

Author

Singh, Tarjinder, Poterba, Timothy, Curtis, David, Akil, Huda, Al Eissa, Mariam, Barchas, Jack D, Bass, Nicholas, Bigdeli, Tim B, Breen, Gerome, Bromet, Evelyn J, Buckley, Peter F, Bunney, William E, Bybjerg-Grauholm, Jonas, Byerley, William F, Chapman, Sinéad B, Chen, Wei J, Churchhouse, Claire, Craddock, Nicholas, Cusick, Caroline M, DeLisi, Lynn, Dodge, Sheila, Escamilla, Michael A, Eskelinen, Saana, Fanous, Ayman H, Faraone, Stephen V, Fiorentino, Alessia, Francioli, Laurent, Gabriel, Stacey B, Gage, Diane, Gagliano Taliun, Sarah A, Ganna, Andrea, Genovese, Giulio, Glahn, David C, Grove, Jakob, Hall, Mei-Hua, Hämäläinen, Eija, Heyne, Henrike O, Holi, Matti, Hougaard, David M, Howrigan, Daniel P, Huang, Hailiang, Hwu, Hai-Gwo, Kahn, René S, Kang, Hyun Min, Karczewski, Konrad J, Kirov, George, Knowles, James A, Lee, Francis S, Lehrer, Douglas S, Lescai, Francesco, Malaspina, Dolores, Marder, Stephen R, McCarroll, Steven A, McIntosh, Andrew M, Medeiros, Helena, Milani, Lili, Morley, Christopher P, Morris, Derek W, Mortensen, Preben Bo, Myers, Richard M, Nordentoft, Merete, O'Brien, Niamh L, Olivares, Ana Maria, Ongur, Dost, Ouwehand, Willem H, Palmer, Duncan S, Paunio, Tiina, Quested, Digby, Rapaport, Mark H, Rees, Elliott, Rollins, Brandi, Satterstrom, F Kyle, Schatzberg, Alan, Scolnick, Edward, Scott, Laura J, Sharp, Sally I, Sklar, Pamela, Smoller, Jordan W, Sobell, Janet L, Solomonson, Matthew, Stahl, Eli A, Stevens, Christine R, Suvisaari, Jaana, Tiao, Grace, Watson, Stanley J, Watts, Nicholas A, Blackwood, Douglas H, Børglum, Anders D, Cohen, Bruce M, Corvin, Aiden P, Esko, Tõnu, Freimer, Nelson B, Glatt, Stephen J, Hultman, Christina M, McQuillin, Andrew, Palotie, Aarno, Pato, Carlos N, Pato, Michele T, Pulver, Ann E, and St Clair, David

Subjects
Humans, Genetic Predisposition to Disease, Receptors, N-Methyl-D-Aspartate, Case-Control Studies, Schizophrenia, Mutation, Exome, Neurodevelopmental Disorders, Human Genome, Biotechnology, Mental Health, Neurosciences, Brain Disorders, Genetics, Serious Mental Illness, Aetiology, 2.1 Biological and endogenous factors, Mental health, Neurological, General Science & Technology
Abstract

Rare coding variation has historically provided the most direct connections between gene function and disease pathogenesis. By meta-analysing the whole exomes of 24,248 schizophrenia cases and 97,322 controls, we implicate ultra-rare coding variants (URVs) in 10 genes as conferring substantial risk for schizophrenia (odds ratios of 3-50, P

Published
2022

3. Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors.

Author

Mullins, Niamh, Kang, JooEun, Campos, Adrian I, Coleman, Jonathan RI, Edwards, Alexis C, Galfalvy, Hanga, Levey, Daniel F, Lori, Adriana, Shabalin, Andrey, Starnawska, Anna, Su, Mei-Hsin, Watson, Hunna J, Adams, Mark, Awasthi, Swapnil, Gandal, Michael, Hafferty, Jonathan D, Hishimoto, Akitoyo, Kim, Minsoo, Okazaki, Satoshi, Otsuka, Ikuo, Ripke, Stephan, Ware, Erin B, Bergen, Andrew W, Berrettini, Wade H, Bohus, Martin, Brandt, Harry, Chang, Xiao, Chen, Wei J, Chen, Hsi-Chung, Crawford, Steven, Crow, Scott, DiBlasi, Emily, Duriez, Philibert, Fernández-Aranda, Fernando, Fichter, Manfred M, Gallinger, Steven, Glatt, Stephen J, Gorwood, Philip, Guo, Yiran, Hakonarson, Hakon, Halmi, Katherine A, Hwu, Hai-Gwo, Jain, Sonia, Jamain, Stéphane, Jiménez-Murcia, Susana, Johnson, Craig, Kaplan, Allan S, Kaye, Walter H, Keel, Pamela K, Kennedy, James L, Klump, Kelly L, Li, Dong, Liao, Shih-Cheng, Lieb, Klaus, Lilenfeld, Lisa, Liu, Chih-Min, Magistretti, Pierre J, Marshall, Christian R, Mitchell, James E, Monson, Eric T, Myers, Richard M, Pinto, Dalila, Powers, Abigail, Ramoz, Nicolas, Roepke, Stefan, Rozanov, Vsevolod, Scherer, Stephen W, Schmahl, Christian, Sokolowski, Marcus, Strober, Michael, Thornton, Laura M, Treasure, Janet, Tsuang, Ming T, Witt, Stephanie H, Woodside, D Blake, Yilmaz, Zeynep, Zillich, Lea, Adolfsson, Rolf, Agartz, Ingrid, Air, Tracy M, Alda, Martin, Alfredsson, Lars, Andreassen, Ole A, Anjorin, Adebayo, Appadurai, Vivek, Soler Artigas, María, Van der Auwera, Sandra, Azevedo, M Helena, Bass, Nicholas, Bau, Claiton HD, Baune, Bernhard T, Bellivier, Frank, Berger, Klaus, Biernacka, Joanna M, Bigdeli, Tim B, Binder, Elisabeth B, Boehnke, Michael, Boks, Marco P, Bosch, Rosa, and Braff, David L

Subjects
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Eating Disorders Working Group of the Psychiatric Genomics Consortium, German Borderline Genomics Consortium, MVP Suicide Exemplar Workgroup, VA Million Veteran Program, Humans, Risk Factors, Suicide, Attempted, Mental Disorders, Depressive Disorder, Major, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Genetic correlation, Genome-wide association study, Pleiotropy, Polygenicity, Suicide, Suicide attempt, Human Genome, Behavioral and Social Science, Mental Health, Prevention, Genetics, Brain Disorders, Aetiology, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

BackgroundSuicide is a leading cause of death worldwide, and nonfatal suicide attempts, which occur far more frequently, are a major source of disability and social and economic burden. Both have substantial genetic etiology, which is partially shared and partially distinct from that of related psychiatric disorders.MethodsWe conducted a genome-wide association study (GWAS) of 29,782 suicide attempt (SA) cases and 519,961 controls in the International Suicide Genetics Consortium (ISGC). The GWAS of SA was conditioned on psychiatric disorders using GWAS summary statistics via multitrait-based conditional and joint analysis, to remove genetic effects on SA mediated by psychiatric disorders. We investigated the shared and divergent genetic architectures of SA, psychiatric disorders, and other known risk factors.ResultsTwo loci reached genome-wide significance for SA: the major histocompatibility complex and an intergenic locus on chromosome 7, the latter of which remained associated with SA after conditioning on psychiatric disorders and replicated in an independent cohort from the Million Veteran Program. This locus has been implicated in risk-taking behavior, smoking, and insomnia. SA showed strong genetic correlation with psychiatric disorders, particularly major depression, and also with smoking, pain, risk-taking behavior, sleep disturbances, lower educational attainment, reproductive traits, lower socioeconomic status, and poorer general health. After conditioning on psychiatric disorders, the genetic correlations between SA and psychiatric disorders decreased, whereas those with nonpsychiatric traits remained largely unchanged.ConclusionsOur results identify a risk locus that contributes more strongly to SA than other phenotypes and suggest a shared underlying biology between SA and known risk factors that is not mediated by psychiatric disorders.

Published
2022

4. Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders.

Author

Blokland, Gabriëlla AM, Grove, Jakob, Chen, Chia-Yen, Cotsapas, Chris, Tobet, Stuart, Handa, Robert, Schizophrenia Working Group of the Psychiatric Genomics Consortium, St Clair, David, Lencz, Todd, Mowry, Bryan J, Periyasamy, Sathish, Cairns, Murray J, Tooney, Paul A, Wu, Jing Qin, Kelly, Brian, Kirov, George, Sullivan, Patrick F, Corvin, Aiden, Riley, Brien P, Esko, Tõnu, Milani, Lili, Jönsson, Erik G, Palotie, Aarno, Ehrenreich, Hannelore, Begemann, Martin, Steixner-Kumar, Agnes, Sham, Pak C, Iwata, Nakao, Weinberger, Daniel R, Gejman, Pablo V, Sanders, Alan R, Buxbaum, Joseph D, Rujescu, Dan, Giegling, Ina, Konte, Bettina, Hartmann, Annette M, Bramon, Elvira, Murray, Robin M, Pato, Michele T, Lee, Jimmy, Melle, Ingrid, Molden, Espen, Ophoff, Roel A, McQuillin, Andrew, Bass, Nicholas J, Adolfsson, Rolf, Malhotra, Anil K, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Martin, Nicholas G, Fullerton, Janice M, Mitchell, Philip B, Schofield, Peter R, Forstner, Andreas J, Degenhardt, Franziska, Schaupp, Sabrina, Comes, Ashley L, Kogevinas, Manolis, Guzman-Parra, José, Reif, Andreas, Streit, Fabian, Sirignano, Lea, Cichon, Sven, Grigoroiu-Serbanescu, Maria, Hauser, Joanna, Lissowska, Jolanta, Mayoral, Fermin, Müller-Myhsok, Bertram, Świątkowska, Beata, Schulze, Thomas G, Nöthen, Markus M, Rietschel, Marcella, Kelsoe, John, Leboyer, Marion, Jamain, Stéphane, Etain, Bruno, Bellivier, Frank, Vincent, John B, Alda, Martin, O'Donovan, Claire, Cervantes, Pablo, Biernacka, Joanna M, Frye, Mark, McElroy, Susan L, Scott, Laura J, Stahl, Eli A, Landén, Mikael, Hamshere, Marian L, Smeland, Olav B, Djurovic, Srdjan, Vaaler, Arne E, Andreassen, Ole A, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Baune, Bernhard T, Air, Tracy, Preisig, Martin, Uher, Rudolf, Levinson, Douglas F, Weissman, Myrna M, Potash, James B, and Shi, Jianxin

Subjects
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium, iPSYCH, Endothelial Cells, Humans, Genetic Predisposition to Disease, Receptors, Vascular Endothelial Growth Factor, Sulfurtransferases, Bipolar Disorder, Depressive Disorder, Major, Psychotic Disorders, Schizophrenia, Sex Characteristics, Polymorphism, Single Nucleotide, Female, Male, Genome-Wide Association Study, Bipolar disorder, Genome-wide association study, Genotype-by-sex interaction, Major depressive disorder, Sex differences, Serious Mental Illness, Biotechnology, Mental Health, Genetics, Human Genome, Neurosciences, Brain Disorders, 2.1 Biological and endogenous factors, Aetiology, Mental health, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

BackgroundSex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk.MethodsWe conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH.ResultsAcross disorders, genome-wide significant single nucleotide polymorphism-by-sex interaction was detected for a locus encompassing NKAIN2 (rs117780815, p = 3.2 × 10-8), which interacts with sodium/potassium-transporting ATPase (adenosine triphosphatase) enzymes, implicating neuronal excitability. Three additional loci showed evidence (p < 1 × 10-6) for cross-disorder G×S interaction (rs7302529, p = 1.6 × 10-7; rs73033497, p = 8.8 × 10-7; rs7914279, p = 6.4 × 10-7), implicating various functions. Gene-based analyses identified G×S interaction across disorders (p = 8.97 × 10-7) with transcriptional inhibitor SLTM. Most significant in SCZ was a MOCOS gene locus (rs11665282, p = 1.5 × 10-7), implicating vascular endothelial cells. Secondary analysis of the PGC-SCZ dataset detected an interaction (rs13265509, p = 1.1 × 10-7) in a locus containing IDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant G×S interaction of genes regulating vascular endothelial growth factor receptor signaling in MDD (false discovery rate-corrected p < .05).ConclusionsIn the largest genome-wide G×S analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development and immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway levels.

Published
2022

5. Characterisation of age and polarity at onset in bipolar disorder.

Author

Kalman, Janos L, Olde Loohuis, Loes M, Vreeker, Annabel, McQuillin, Andrew, Stahl, Eli A, Ruderfer, Douglas, Grigoroiu-Serbanescu, Maria, Panagiotaropoulou, Georgia, Ripke, Stephan, Bigdeli, Tim B, Stein, Frederike, Meller, Tina, Meinert, Susanne, Pelin, Helena, Streit, Fabian, Papiol, Sergi, Adams, Mark J, Adolfsson, Rolf, Adorjan, Kristina, Agartz, Ingrid, Aminoff, Sofie R, Anderson-Schmidt, Heike, Andreassen, Ole A, Ardau, Raffaella, Aubry, Jean-Michel, Balaban, Ceylan, Bass, Nicholas, Baune, Bernhard T, Bellivier, Frank, Benabarre, Antoni, Bengesser, Susanne, Berrettini, Wade H, Boks, Marco P, Bromet, Evelyn J, Brosch, Katharina, Budde, Monika, Byerley, William, Cervantes, Pablo, Chillotti, Catina, Cichon, Sven, Clark, Scott R, Comes, Ashley L, Corvin, Aiden, Coryell, William, Craddock, Nick, Craig, David W, Croarkin, Paul E, Cruceanu, Cristiana, Czerski, Piotr M, Dalkner, Nina, Dannlowski, Udo, Degenhardt, Franziska, Del Zompo, Maria, DePaulo, J Raymond, Djurovic, Srdjan, Edenberg, Howard J, Eissa, Mariam Al, Elvsåshagen, Torbjørn, Etain, Bruno, Fanous, Ayman H, Fellendorf, Frederike, Fiorentino, Alessia, Forstner, Andreas J, Frye, Mark A, Fullerton, Janice M, Gade, Katrin, Garnham, Julie, Gershon, Elliot, Gill, Michael, Goes, Fernando S, Gordon-Smith, Katherine, Grof, Paul, Guzman-Parra, Jose, Hahn, Tim, Hasler, Roland, Heilbronner, Maria, Heilbronner, Urs, Jamain, Stephane, Jimenez, Esther, Jones, Ian, Jones, Lisa, Jonsson, Lina, Kahn, Rene S, Kelsoe, John R, Kennedy, James L, Kircher, Tilo, Kirov, George, Kittel-Schneider, Sarah, Klöhn-Saghatolislam, Farah, Knowles, James A, Kranz, Thorsten M, Lagerberg, Trine Vik, Landen, Mikael, Lawson, William B, Leboyer, Marion, Li, Qingqin S, Maj, Mario, Malaspina, Dolores, Manchia, Mirko, and Mayoral, Fermin

Subjects
Psychiatric Genomics Consortium (PGC) Bipolar Disorder Working Group, International Consortium on Lithium Genetics, Colombia-US Cross Disorder Collaboration in Psychiatric Genetics, Humans, Bipolar Disorder, Depressive Disorder, Major, Age of Onset, Multifactorial Inheritance, Genome-Wide Association Study, Autism Spectrum Disorder, Bipolar disorder, GWAS, age at onset, polarity at onset, polygenic score, Genetics, Mental Health, Prevention, Brain Disorders, Serious Mental Illness, 2.1 Biological and endogenous factors, Aetiology, Mental health, Good Health and Well Being, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

BackgroundStudying phenotypic and genetic characteristics of age at onset (AAO) and polarity at onset (PAO) in bipolar disorder can provide new insights into disease pathology and facilitate the development of screening tools.AimsTo examine the genetic architecture of AAO and PAO and their association with bipolar disorder disease characteristics.MethodGenome-wide association studies (GWASs) and polygenic score (PGS) analyses of AAO (n = 12 977) and PAO (n = 6773) were conducted in patients with bipolar disorder from 34 cohorts and a replication sample (n = 2237). The association of onset with disease characteristics was investigated in two of these cohorts.ResultsEarlier AAO was associated with a higher probability of psychotic symptoms, suicidality, lower educational attainment, not living together and fewer episodes. Depressive onset correlated with suicidality and manic onset correlated with delusions and manic episodes. Systematic differences in AAO between cohorts and continents of origin were observed. This was also reflected in single-nucleotide variant-based heritability estimates, with higher heritabilities for stricter onset definitions. Increased PGS for autism spectrum disorder (β = -0.34 years, s.e. = 0.08), major depression (β = -0.34 years, s.e. = 0.08), schizophrenia (β = -0.39 years, s.e. = 0.08), and educational attainment (β = -0.31 years, s.e. = 0.08) were associated with an earlier AAO. The AAO GWAS identified one significant locus, but this finding did not replicate. Neither GWAS nor PGS analyses yielded significant associations with PAO.ConclusionsAAO and PAO are associated with indicators of bipolar disorder severity. Individuals with an earlier onset show an increased polygenic liability for a broad spectrum of psychiatric traits. Systematic differences in AAO across cohorts, continents and phenotype definitions introduce significant heterogeneity, affecting analyses.

Published
2021

6. 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

7. GWAS of Suicide Attempt in Psychiatric Disorders and Association With Major Depression Polygenic Risk Scores

Author

Mullins, Niamh, Bigdeli, Tim B, Børglum, Anders D, Coleman, Jonathan RI, Demontis, Ditte, Mehta, Divya, Power, Robert A, Ripke, Stephan, Stahl, Eli A, Starnawska, Anna, Anjorin, Adebayo, Corvin, Aiden, Sanders, Alan R, Forstner, Andreas J, Reif, Andreas, Koller, Anna C, Świątkowska, Beata, Baune, Bernhard T, Müller-Myhsok, Bertram, Penninx, Brenda WJH, Pato, Carlos, Zai, Clement, Rujescu, Dan, Hougaard, David M, Quested, Digby, Levinson, Douglas F, Binder, Elisabeth B, Byrne, Enda M, Agerbo, Esben, Streit, Fabian, Mayoral, Fermin, Bellivier, Frank, Degenhardt, Franziska, Breen, Gerome, Morken, Gunnar, Turecki, Gustavo, Rouleau, Guy A, Grabe, Hans J, Völzke, Henry, Jones, Ian, Giegling, Ina, Agartz, Ingrid, Melle, Ingrid, Lawrence, Jacob, Walters, James TR, Strohmaier, Jana, Shi, Jianxin, Hauser, Joanna, Biernacka, Joanna M, Vincent, John B, Kelsoe, John, Strauss, John S, Lissowska, Jolanta, Pimm, Jonathan, Smoller, Jordan W, Guzman-Parra, José, Berger, Klaus, Scott, Laura J, Jones, Lisa A, Azevedo, M Helena, Trzaskowski, Maciej, Kogevinas, Manolis, Rietschel, Marcella, Boks, Marco, Ising, Marcus, Grigoroiu-Serbanescu, Maria, Hamshere, Marian L, Leboyer, Marion, Frye, Mark, Nöthen, Markus M, Alda, Martin, Preisig, Martin, Nordentoft, Merete, Boehnke, Michael, O’Donovan, Michael C, Owen, Michael J, Pato, Michele T, Renteria, Miguel E, Budde, Monika, Weissman, Myrna M, Wray, Naomi R, Bass, Nicholas, Craddock, Nicholas, Smeland, Olav B, Andreassen, Ole A, Mors, Ole, Gejman, Pablo V, Sklar, Pamela, McGrath, Patrick, Hoffmann, Per, McGuffin, Peter, Lee, Phil H, Mortensen, Preben Bo, Kahn, René S, Ophoff, Roel A, Adolfsson, Rolf, Van der Auwera, Sandra, Djurovic, Srdjan, Kloiber, Stefan, and Heilmann-Heimbach, Stefanie

Subjects
Prevention, Suicide, Serious Mental Illness, Schizophrenia, Human Genome, Depression, Mental Health, Genetics, Brain Disorders, Aetiology, 2.3 Psychological, social and economic factors, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, Bipolar Disorder, Case-Control Studies, Depressive Disorder, Major, Female, Genome-Wide Association Study, Humans, Male, Multifactorial Inheritance, Risk Factors, Suicide, Attempted, M.R.C.Psych, Dr.Med.Sc, Dipl.-Psych, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Mood Disorders, Polygenic Risk Scoring, Psychiatric Genomics Consortium, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

ObjectiveMore than 90% of people who attempt suicide have a psychiatric diagnosis; however, twin and family studies suggest that the genetic etiology of suicide attempt is partially distinct from that of the psychiatric disorders themselves. The authors present the largest genome-wide association study (GWAS) on suicide attempt, using cohorts of individuals with major depressive disorder, bipolar disorder, and schizophrenia from the Psychiatric Genomics Consortium.MethodsThe samples comprised 1,622 suicide attempters and 8,786 nonattempters with major depressive disorder; 3,264 attempters and 5,500 nonattempters with bipolar disorder; and 1,683 attempters and 2,946 nonattempters with schizophrenia. A GWAS on suicide attempt was performed by comparing attempters to nonattempters with each disorder, followed by a meta-analysis across disorders. Polygenic risk scoring was used to investigate the genetic relationship between suicide attempt and the psychiatric disorders.ResultsThree genome-wide significant loci for suicide attempt were found: one associated with suicide attempt in major depressive disorder, one associated with suicide attempt in bipolar disorder, and one in the meta-analysis of suicide attempt in mood disorders. These associations were not replicated in independent mood disorder cohorts from the UK Biobank and iPSYCH. No significant associations were found in the meta-analysis of all three disorders. Polygenic risk scores for major depression were significantly associated with suicide attempt in major depressive disorder (R2=0.25%), bipolar disorder (R2=0.24%), and schizophrenia (R2=0.40%).ConclusionsThis study provides new information on genetic associations and demonstrates that genetic liability for major depression increases risk for suicide attempt across psychiatric disorders. Further collaborative efforts to increase sample size may help to robustly identify genetic associations and provide biological insights into the etiology of suicide attempt.

Published
2019

8. 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

9. 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

10. New data and an old puzzle: the negative association between schizophrenia and rheumatoid arthritis

Author

Lee, S Hong, Byrne, Enda M, Hultman, Christina M, Kähler, Anna, Vinkhuyzen, Anna AE, Ripke, Stephan, Andreassen, Ole A, Frisell, Thomas, Gusev, Alexander, Hu, Xinli, Karlsson, Robert, Mantzioris, Vasilis X, McGrath, John J, Mehta, Divya, Stahl, Eli A, Zhao, Qiongyi, Kendler, Kenneth S, Sullivan, Patrick F, Price, Alkes L, O’Donovan, Michael, Okada, Yukinori, Mowry, Bryan J, Raychaudhuri, Soumya, Wray, Naomi R, Byerley, William, Cahn, Wiepke, Cantor, Rita M, Cichon, Sven, Cormican, Paul, Curtis, David, Djurovic, Srdjan, Escott-Price, Valentina, Gejman, Pablo V, Georgieva, Lyudmila, Giegling, Ina, Hansen, Thomas F, Ingason, Andrés, Kim, Yunjung, Konte, Bettina, Lee, Phil H, McIntosh, Andrew, McQuillin, Andrew, Morris, Derek W, Nöthen, Markus M, O’Dushlaine, Colm, Olincy, Ann, Olsen, Line, Pato, Carlos N, Pato, Michele T, Pickard, Benjamin S, Posthuma, Danielle, Rasmussen, Henrik B, Rietschel, Marcella, Rujescu, Dan, Schulze, Thomas G, Silverman, Jeremy M, Thirumalai, Srinivasa, Werge, Thomas, Agartz, Ingrid, Amin, Farooq, Azevedo, Maria H, Bass, Nicholas, Black, Donald W, Blackwood, Douglas HR, Bruggeman, Richard, Buccola, Nancy G, Choudhury, Khalid, Cloninger, Robert C, Corvin, Aiden, Craddock, Nicholas, Daly, Mark J, Datta, Susmita, Donohoe, Gary J, Duan, Jubao, Dudbridge, Frank, Fanous, Ayman, Freedman, Robert, Freimer, Nelson B, Friedl, Marion, Gill, Michael, Gurling, Hugh, De Haan, Lieuwe, Hamshere, Marian L, Hartmann, Annette M, Holmans, Peter A, Kahn, René S, Keller, Matthew C, Kenny, Elaine, Kirov, George K, Krabbendam, Lydia, Krasucki, Robert, Lawrence, Jacob, Lencz, Todd, Levinson, Douglas F, Lieberman, Jeffrey A, Lin, Dan-Yu, Linszen, Don H, Magnusson, Patrik KE, Maier, Wolfgang, and Malhotra, Anil K

Subjects
Epidemiology, Health Sciences, Human Genome, Mental Health, Brain Disorders, Autoimmune Disease, Schizophrenia, Clinical Research, Arthritis, Serious Mental Illness, Genetics, Aetiology, 2.1 Biological and endogenous factors, Inflammatory and immune system, Mental health, Adolescent, Adult, Arthritis, Rheumatoid, Cohort Studies, Cross-Sectional Studies, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Young Adult, Schizophrenia Working Group of the Psychiatric Genomics Consortium and Rheumatoid Arthritis Consortium International, Schizophrenia Working Group of the Psychiatric Genomics Consortium Authors, Schizophrenia Working Group of the Psychiatric Genomics Consortium Collaborators, Rheumatoid Arthritis Consortium International Authors, Rheumatoid Arthritis Consortium International Collaborators, Statistics, Public Health and Health Services, Public health
Abstract

BackgroundA long-standing epidemiological puzzle is the reduced rate of rheumatoid arthritis (RA) in those with schizophrenia (SZ) and vice versa. Traditional epidemiological approaches to determine if this negative association is underpinned by genetic factors would test for reduced rates of one disorder in relatives of the other, but sufficiently powered data sets are difficult to achieve. The genomics era presents an alternative paradigm for investigating the genetic relationship between two uncommon disorders.MethodsWe use genome-wide common single nucleotide polymorphism (SNP) data from independently collected SZ and RA case-control cohorts to estimate the SNP correlation between the disorders. We test a genotype X environment (GxE) hypothesis for SZ with environment defined as winter- vs summer-born.ResultsWe estimate a small but significant negative SNP-genetic correlation between SZ and RA (-0.046, s.e. 0.026, P = 0.036). The negative correlation was stronger for the SNP set attributed to coding or regulatory regions (-0.174, s.e. 0.071, P = 0.0075). Our analyses led us to hypothesize a gene-environment interaction for SZ in the form of immune challenge. We used month of birth as a proxy for environmental immune challenge and estimated the genetic correlation between winter-born and non-winter born SZ to be significantly less than 1 for coding/regulatory region SNPs (0.56, s.e. 0.14, P = 0.00090).ConclusionsOur results are consistent with epidemiological observations of a negative relationship between SZ and RA reflecting, at least in part, genetic factors. Results of the month of birth analysis are consistent with pleiotropic effects of genetic variants dependent on environmental context.

Published
2015

11. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

Author

O'Dushlaine, Colm, Rossin, Lizzy, Lee, Phil H, Duncan, Laramie, Parikshak, Neelroop N, Newhouse, Stephen, Ripke, Stephan, Neale, Benjamin M, Purcell, Shaun M, Posthuma, Danielle, Nurnberger, John I, Lee, S Hong, Faraone, Stephen V, Perlis, Roy H, Mowry, Bryan J, Thapar, Anita, Goddard, Michael E, Witte, John S, Absher, Devin, Agartz, Ingrid, Akil, Huda, Amin, Farooq, Andreassen, Ole A, Anjorin, Adebayo, Anney, Richard, Anttila, Verneri, Arking, Dan E, Asherson, Philip, Azevedo, Maria H, Backlund, Lena, Badner, Judith A, Bailey, Anthony J, Banaschewski, Tobias, Barchas, Jack D, Barnes, Michael R, Barrett, Thomas B, Bass, Nicholas, Battaglia, Agatino, Bauer, Michael, Bayes, Monica, Bellivier, Frank, Bergen, Sarah E, Berrettini, Wade, Betancur, Catalina, Bettecken, Thomas, Biederman, Joseph, Binder, Elisabeth B, Black, Donald W, Blackwood, Douglas HR, Bloss, Cinnamon S, Boehnke, Michael, Boomsma, Dorret I, Breuer, Rene, Bruggeman, Richard, Cormican, Paul, Buccola, Nancy G, Buitelaar, Jan K, Bunney, William E, Buxbaum, Joseph D, Byerley, William F, Byrne, Enda M, Caesar, Sian, Cahn, Wiepke, Cantor, Rita M, Casas, Miguel, Chakravarti, Aravinda, Chambert, Kimberly, Choudhury, Khalid, Cichon, Sven, Mattheisen, Manuel, Cloninger, C Robert, Collier, David A, Cook, Edwin H, Coon, Hilary, Cormand, Bru, Corvin, Aiden, Coryell, William H, Craig, David W, Craig, Ian W, Crosbie, Jennifer, Cuccaro, Michael L, Curtis, David, Czamara, Darina, Datta, Susmita, Dawson, Geraldine, Day, Richard, De Geus, Eco J, Degenhardt, Franziska, Djurovic, Srdjan, Donohoe, Gary J, Doyle, Alysa E, Duan, Jubao, Dudbridge, Frank, Duketis, Eftichia, Ebstein, Richard P, Edenberg, Howard J, Elia, Josephine, Ennis, Sean, Etain, Bruno, and Fanous, Ayman

Subjects
Human Genome, Brain Disorders, Serious Mental Illness, Schizophrenia, Genetics, Depression, Mental Health, Aetiology, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, Brain, Databases, Genetic, Genetic Predisposition to Disease, Genome-Wide Association Study, Histones, Humans, Mental Disorders, Signal Transduction, Network and Pathway Analysis Subgroup of Psychiatric Genomics Consortium, Neurosciences, Psychology, Cognitive Sciences, Neurology & Neurosurgery
Abstract

Genome-wide association studies (GWAS) of psychiatric disorders have identified multiple genetic associations with such disorders, but better methods are needed to derive the underlying biological mechanisms that these signals indicate. We sought to identify biological pathways in GWAS data from over 60,000 participants from the Psychiatric Genomics Consortium. We developed an analysis framework to rank pathways that requires only summary statistics. We combined this score across disorders to find common pathways across three adult psychiatric disorders: schizophrenia, major depression and bipolar disorder. Histone methylation processes showed the strongest association, and we also found statistically significant evidence for associations with multiple immune and neuronal signaling pathways and with the postsynaptic density. Our study indicates that risk variants for psychiatric disorders aggregate in particular biological pathways and that these pathways are frequently shared between disorders. Our results confirm known mechanisms and suggest several novel insights into the etiology of psychiatric disorders.

Published
2015

12. SA112 - AN ALCOHOL DEPENDENCE GWAS ON 2,650 CASES AND >7,000 CONTROLS FROM THE UNITED KINGDOM.

Author

Thygesen, Johan Hilge, O'Brien, Niamh, Lydall, Gregory John, Degenhardt, Franziska, Heilmann-Heimbach, Stefanie, Bass, Nicholas, Morgan, Marsha. Y, and McQuillin, Andrew

Subjects
*ALCOHOL, *META-analysis, *ALCOHOL drinking, *MEMBRANE proteins, *MENTAL health, *MENTAL illness
Abstract

In 2012 over three million deaths were attributed to alcohol consumption world-wide, corresponding to one in every twenty deaths. Excess consumption of alcohol is associated with a wide-range of problems relating to both physical and mental health. Mental disorders are often comorbid with alcohol dependence; mental disorders with comorbid alcohol dependence have worse outcome and incur substantially increased costs. Meta analyses of twin and adoption studies has provided a best-fit estimate for the heritability of alcohol used disorders of 0.49 [95% CI 0.43–0.53]. GWAS studies to date have found associations with several genes responsible for alcohol metabolism, e.g. ALDH2, ADH1B and ADH1C. Notably these association findings are "protective" for risk of alcohol dependence. Several other associations have been reported but these await replication. We will report a meta-analysis of GWAS data from UK alcohol dependent subjects that have been analysed on three different SNP arrays. Control data was from our own laboratory and from the Welcome Trust Case Control Consortium. Early results from analysis of Psych Chip data from 1,750 cases and 1,100 healthy control subjects provides genome wide significant support for a SNP at the ADH locus on chromosome 4 and suggestive evidence for a SNP on chromosome 11 near the SYT13 and PRDM11 genes. SYT13 encodes synaptotagmin XIII which is a brain expressed membrane trafficking protein. Little is known about the function of SYT13 but other members of the synaptotagmin family of proteins act as Ca2+ sensors for exocytosis at the synapse and elsewhere. An improved understanding of the genetic architecture will help elucidate the neurobiology of ADS and its sequelae. Therefore, there is the potential to identify novel disease mechanisms and novel therapeutic targets not only for alcohol dependence itself but for many related phenotypes. [ABSTRACT FROM AUTHOR]

Published
2019
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