Browsing by Author "O’Donovan, Michael C."

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    Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors
    (Elsevier, 2022-02-01) Mullins, Niamh; Kang, JooEun; Campos, Adrian I.; Coleman, Jonathan R. I.; 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; Artigas, María Soler; Van der Auwera, Sandra; Azevedo, M. Helena; Bass, Nicholas; Bau, Claiton H. D.; Baune, Bernhard T.; Bellivier, Frank; Berger, Klaus; Biernacka, Joanna M.; Bigdeli, Tim B.; Binder, Elisabeth B.; Boehnke, Michael; Boks, Marco P.; Bosch, Rosa; Braff, David L.; Bryant, Richard; Budde, Monika; Byrne, Enda M.; Cahn, Wiepke; Casas, Miguel; Castelao, Enrique; Cervilla, Jorge A.; Chaumette, Boris; Cichon, Sven; Corvin, Aiden; Craddock, Nicholas; Craig, David; Degenhardt, Franziska; Djurovic, Srdjan; Edenberg, Howard J.; Fanous, Ayman H.; Foo, Jerome C.; Forstner, Andreas J.; Frye, Mark; Fullerton, Janice M.; Gatt, Justine M.; Gejman, Pablo V.; Giegling, Ina; Grabe, Hans J.; Green, Melissa J.; Grevet, Eugenio H.; Grigoroiu-Serbanescu, Maria; Gutierrez, Blanca; Guzman-Parra, Jose; Hamilton, Steven P.; Hamshere, Marian L.; Hartmann, Annette; Hauser, Joanna; Heilmann-Heimbach, Stefanie; Hoffmann, Per; Ising, Marcus; Jones, Ian; Jones, Lisa A.; Jonsson, Lina; Kahn, René S.; Kelsoe, John R.; Kendler, Kenneth S.; Kloiber, Stefan; Koenen, Karestan C.; Kogevinas, Manolis; Konte, Bettina; Krebs, Marie-Odile; Landén, Mikael; Lawrence, Jacob; Leboyer, Marion; Lee, Phil H.; Levinson, Douglas F.; Liao, Calwing; Lissowska, Jolanta; Lucae, Susanne; Mayoral, Fermin; McElroy, Susan L.; McGrath, Patrick; McGuffin, Peter; McQuillin, Andrew; Medland, Sarah E.; Mehta, Divya; Melle, Ingrid; Milaneschi, Yuri; Mitchell, Philip B.; Molina, Esther; Morken, Gunnar; Mortensen, Preben Bo; Müller-Myhsok, Bertram; Nievergelt, Caroline; Nimgaonkar, Vishwajit; Nöthen, Markus M.; O’Donovan, Michael C.; Ophoff, Roel A.; Owen, Michael J.; Pato, Carlos; Pato, Michele T.; Penninx, Brenda W. J. H.; Pimm, Jonathan; Pistis, Giorgio; Potash, James B.; Power, Robert A.; Preisig, Martin; Quested, Digby; Ramos-Quiroga, Josep Antoni; Reif, Andreas; Ribasés , Marta; Richarte, Vanesa; Rietschel, Marcella; Rivera, Margarita; Roberts, Andrea; Roberts, Gloria; Rouleau, Guy A.; Rovaris, Diego L.; Rujescu, Dan; Sánchez-Mora, Cristina; Sanders, Alan R.; Schofield, Peter R.; Schulze, Thomas G.; Scott, Laura J.; Serretti, Alessandro; Shi, Jianxin; Shyn, Stanley I.; Sirignano, Lea; Sklar, Pamela; Smeland, Olav B.; Smoller, Jordan W.; Sonuga-Barke, Edmund J. S.; Spalletta, Gianfranco; Strauss, John S.; Świątkowska, Beata; Trzaskowski, Maciej; Turecki, Gustavo; Vilar-Ribó, Laura; Vincent, John B.; Völzke, Henry; Walters, James T. R.; Weickert, Cynthia Shannon; Weickert, Thomas W.; Weissman, Myrna M.; Williams, Leanne M.; Wray, Naomi R.; Zai, Clement C.; Ashley-Koch, Allison E.; Beckham, Jean C.; Hauser, Elizabeth R.; Hauser, Michael A.; Kimbrel, Nathan A.; Lindquist, Jennifer H.; McMahon, Benjamin; Oslin, David W.; Qin, Xuejun; 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; Medical and Molecular Genetics, School of Medicine
    BACKGROUND: Suicide 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. METHODS: We 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. RESULTS: Two 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. CONCLUSIONS: Our 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.
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    Investigation of convergent and divergent genetic influences underlying schizophrenia and alcohol use disorder
    (Cambridge University Press, 2023) Johnson, Emma C.; Kapoor, Manav; Hatoum, Alexander S.; Zhou, Hang; Polimanti, Renato; Wendt, Frank R.; Walters, Raymond K.; Lai, Dongbing; Kember, Rachel L.; Hartz, Sarah; Meyers, Jacquelyn L.; Peterson, Roseann E.; Ripke, Stephan; Bigdeli, Tim B.; Fanous, Ayman H.; Pato, Carlos N.; Pato, Michele T.; Goate, Alison M.; Kranzler, Henry R.; O’Donovan, Michael C.; Walters, James T. R.; Gelernter, Joel; Edenberg, Howard J.; Agrawal, Arpana; Medical and Molecular Genetics, School of Medicine
    Background: Alcohol use disorder (AUD) and schizophrenia (SCZ) frequently co-occur, and large-scale genome-wide association studies (GWAS) have identified significant genetic correlations between these disorders. Methods: We used the largest published GWAS for AUD (total cases = 77 822) and SCZ (total cases = 46 827) to identify genetic variants that influence both disorders (with either the same or opposite direction of effect) and those that are disorder specific. Results: We identified 55 independent genome-wide significant single nucleotide polymorphisms with the same direction of effect on AUD and SCZ, 8 with robust effects in opposite directions, and 98 with disorder-specific effects. We also found evidence for 12 genes whose pleiotropic associations with AUD and SCZ are consistent with mediation via gene expression in the prefrontal cortex. The genetic covariance between AUD and SCZ was concentrated in genomic regions functional in brain tissues (p = 0.001). Conclusions: Our findings provide further evidence that SCZ shares meaningful genetic overlap with AUD.
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    Polygenic dissection of diagnosis and clinical dimensions of bipolar disorder and schizophrenia
    (Nature Publishing Group, 2014-09) Ruderfer, Douglas M.; Fanous, Ayman H.; Ripke, Stephan; McQuillin, Andrew; Amdur, Richard L.; Gejman, Pablo V.; O’Donovan, Michael C.; Andreassen, Ole A.; Djurovic, Srdjan; Hultman, Christina M.; Kelsoe, John R.; Jamain, Stephane; Landén, Mikael; Leboyer, Marion; Nimgaonkar, Vishwajit; Nurnberger, John; Smoller, Jordan W.; Craddock, Nick; Corvin, Aiden; Sullivan, Patrick F.; Holmans, Peter; Sklar, Pamela; Kendler, Kenneth S.; Department of Medical & Molecular Genetics, IU School of Medicine
    Bipolar disorder and schizophrenia are two often severe disorders with high heritabilities. Recent studies have demonstrated a large overlap of genetic risk loci between these disorders but diagnostic and molecular distinctions still remain. Here, we perform a combined GWAS of 19,779 BP and SCZ cases versus 19,423 controls, in addition to a direct comparison GWAS of 7,129 SCZ cases versus 9,252 BP cases. In our case-control analysis, we identify five previously identified regions reaching genome-wide significance (CACNA1C, IFI44L, MHC, TRANK1, MAD1L1) and a novel locus near PIK3C2A. We create a polygenic risk score that is significantly different between BP and SCZ and show a significant correlation between a BP polygenic risk score and the clinical dimension of mania in SCZ patients. Our results indicate that first, combining diseases with similar genetic risk profiles improves power to detect shared risk loci and second, that future direct comparisons of BP and SCZ are likely to identify loci with significant differential effects. Identifying these loci should aid in the fundamental understanding of how these diseases differ biologically. These findings also indicate that combining clinical symptom dimensions and polygenic signatures could provide additional information that may someday be used clinically.
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    Psychiatric Genomics: An Update and an Agenda
    (American Psychiatric Association, 2018-01-01) Sullivan, Patrick F.; Agrawal, Arpana; Bulik, Cynthia M.; Andreassen, Ole A.; Børglum, Anders D.; Breen, Gerome; Cichon, Sven; Edenberg, Howard J.; Faraone, Stephen V.; Gelernter, Joel; Mathews, Carol A.; Nievergelt, Caroline M.; Smoller, Jordan W.; O’Donovan, Michael C.; Psychiatric Genomics Consortium; Biochemistry and Molecular Biology, School of Medicine
    The Psychiatric Genomics Consortium (PGC) is the largest consortium in the history of psychiatry. This global effort is dedicated to rapid progress and open science, and in the past decade it has delivered an increasing flow of new knowledge about the fundamental basis of common psychiatric disorders. The PGC has recently commenced a program of research designed to deliver "actionable" findings-genomic results that 1) reveal fundamental biology, 2) inform clinical practice, and 3) deliver new therapeutic targets. The central idea of the PGC is to convert the family history risk factor into biologically, clinically, and therapeutically meaningful insights. The emerging findings suggest that we are entering a phase of accelerated genetic discovery for multiple psychiatric disorders. These findings are likely to elucidate the genetic portions of these truly complex traits, and this knowledge can then be mined for its relevance for improved therapeutics and its impact on psychiatric practice within a precision medicine framework. [AJP at 175: Remembering Our Past As We Envision Our Future November 1946: The Genetic Theory of Schizophrenia Franz Kallmann's influential twin study of schizophrenia in 691 twin pairs was the largest in the field for nearly four decades.