Browsing by Author "Hougaard, David M."

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    Genome-wide association study identifies 30 obsessive-compulsive disorder associated loci
    (medRxiv, 2024-03-13) Strom, Nora I.; Gerring, Zachary F.; Galimberti, Marco; Yu, Dongmei; Halvorsen, Matthew W.; Abdellaoui, Abdel; Rodriguez-Fontenla, Cristina; Sealock, Julia M.; Bigdeli, Tim; Coleman, Jonathan R.; Mahjani, Behrang; Thorp, Jackson G.; Bey, Katharina; Burton, Christie L.; Luykx, Jurjen J.; Zai, Gwyneth; Alemany, Silvia; Andre, Christine; Askland, Kathleen D.; Banaj, Nerisa; Barlassina, Cristina; Becker Nissen, Judith; Bienvenu, O. Joseph; Black, Donald; Bloch, Michael H.; Boberg, Julia; Børte, Sigrid; Bosch, Rosa; Breen, Michael; Brennan, Brian P.; Brentani, Helena; Buxbaum, Joseph D.; Bybjerg-Grauholm, Jonas; Byrne, Enda M.; Cabana-Dominguez, Judith; Camarena, Beatriz; Camarena, Adrian; Cappi, Carolina; Carracedo, Angel; Casas, Miguel; Cavallini, Maria Cristina; Ciullo, Valentina; Cook, Edwin H.; Crosby, Jesse; Cullen, Bernadette A.; De Schipper, Elles J.; Delorme, Richard; Djurovic, Srdjan; Elias, Jason A.; Estivill, Xavier; Falkenstein, Martha J.; Fundin, Bengt T.; Garner, Lauryn; German, Chris; Gironda, Christina; Goes, Fernando S.; Grados, Marco A.; Grove, Jakob; Guo, Wei; Haavik, Jan; Hagen, Kristen; Harrington, Kelly; Havdahl, Alexandra; Höffler, Kira D.; Hounie, Ana G.; Hucks, Donald; Hultman, Christina; Janecka, Magdalena; Jenike, Eric; Karlsson, Elinor K.; Kelley, Kara; Klawohn, Julia; Krasnow, Janice E.; Krebs, Kristi; Lange, Christoph; Lanzagorta, Nuria; Levey, Daniel; Lindblad-Toh, Kerstin; Macciardi, Fabio; Maher, Brion; Mathes, Brittany; McArthur, Evonne; McGregor, Nathaniel; McLaughlin, Nicole C.; Meier, Sandra; Miguel, Euripedes C.; Mulhern, Maureen; Nestadt, Paul S.; Nurmi, Erika L.; O'Connell, Kevin S.; Osiecki, Lisa; Ousdal, Olga Therese; Palviainen, Teemu; Pedersen, Nancy L.; Piras, Fabrizio; Piras, Federica; Potluri, Sriramya; Rabionet, Raquel; Ramirez, Alfredo; Rauch, Scott; Reichenberg, Abraham; Riddle, Mark A.; Ripke, Stephan; Rosário, Maria C.; Sampaio, Aline S.; Schiele, Miriam A.; Skogholt, Anne Heidi; Sloofman, Laura G.; Smit, Jan; Soler, Artigas María; Thomas, Laurent F.; Tifft, Eric; Vallada, Homero; van Kirk, Nathanial; Veenstra-VanderWeele, Jeremy; Vulink, Nienke N.; Walker, Christopher P.; Wang, Ying; Wendland, Jens R.; Winsvold, Bendik S.; Yao, Yin; Zhou, Hang; 23andMe Research Team; VA Million Veteran Program; Estonian Biobank; CoGa research team; iPSYCH; HUNT research team; NORDiC research team; Agrawal, Arpana; Alonso, Pino; Berberich, Götz; Bucholz, Kathleen K.; Bulik, Cynthia M.; Cath, Danielle; Denys, Damiaan; Eapen, Valsamma; Edenberg, Howard; Falkai, Peter; Fernandez, Thomas V.; Fyer, Abby J.; Gaziano, J. M.; Geller, Dan A.; Grabe, Hans J.; Greenberg, Benjamin D.; Hanna, Gregory L.; Hickie, Ian B.; Hougaard, David M.; Kathmann, Norbert; Kennedy, James; Lai, Dongbing; Landén, Mikael; Le Hellard, Stéphanie; Leboyer, Marion; Lochner, Christine; McCracken, James T.; Medland, Sarah E.; Mortensen, Preben B.; Neale, Benjamin M.; Nicolini, Humberto; Nordentoft, Merete; Pato, Michele; Pato, Carlos; Pauls, David L.; Piacentini, John; Pittenger, Christopher; Posthuma, Danielle; Ramos-Quiroga, Josep Antoni; Rasmussen, Steven A.; Richter, Margaret A.; Rosenberg, David R.; Ruhrmann, Stephan; Samuels, Jack F.; Sandin, Sven; Sandor, Paul; Spalletta, Gianfranco; Stein, Dan J.; Stewart, S. Evelyn; Storch, Eric A.; Stranger, Barbara E.; Turiel, Maurizio; Werge, Thomas; Andreassen, Ole A.; Børglum, Anders D.; Walitza, Susanne; Hveem, Kristian; Hansen, Bjarne K.; Rück, Christian P.; Martin, Nicholas G.; Milani, Lili; Mors, Ole; Reichborn-Kjennerud, Ted; Ribasés, Marta; Kvale, Gerd; Mataix-Cols, David; Domschke, Katharina; Grünblatt, Edna; Wagner, Michael; Zwart, John-Anker; Breen, Gerome; Nestadt, Gerald; Kaprio, Jaakko; Arnold, Paul D.; Grice, Dorothy E.; Knowles, James A.; Ask, Helga; Verweij, Karin J.; Davis, Lea K.; Smit, Dirk J.; Crowley, James J.; Scharf, Jeremiah M.; Stein, Murray B.; Gelernter, Joel; Mathews, Carol A.; Derks, Eske M.; Mattheisen, Manuel; Biochemistry and Molecular Biology, School of Medicine
    Obsessive-compulsive disorder (OCD) affects ~1% of the population and exhibits a high SNP-heritability, yet previous genome-wide association studies (GWAS) have provided limited information on the genetic etiology and underlying biological mechanisms of the disorder. We conducted a GWAS meta-analysis combining 53,660 OCD cases and 2,044,417 controls from 28 European-ancestry cohorts revealing 30 independent genome-wide significant SNPs and a SNP-based heritability of 6.7%. Separate GWAS for clinical, biobank, comorbid, and self-report sub-groups found no evidence of sample ascertainment impacting our results. Functional and positional QTL gene-based approaches identified 249 significant candidate risk genes for OCD, of which 25 were identified as putatively causal, highlighting WDR6, DALRD3, CTNND1 and genes in the MHC region. Tissue and single-cell enrichment analyses highlighted hippocampal and cortical excitatory neurons, along with D1- and D2-type dopamine receptor-containing medium spiny neurons, as playing a role in OCD risk. OCD displayed significant genetic correlations with 65 out of 112 examined phenotypes. Notably, it showed positive genetic correlations with all included psychiatric phenotypes, in particular anxiety, depression, anorexia nervosa, and Tourette syndrome, and negative correlations with a subset of the included autoimmune disorders, educational attainment, and body mass index. This study marks a significant step toward unraveling its genetic landscape and advances understanding of OCD genetics, providing a foundation for future interventions to address this debilitating disorder.
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    Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology
    (Springer Nature, 2021-06) Mullins, Niamh; Forstner, Andreas J.; O'Connell, Kevin S.; Coombes, Brandon; Coleman, Jonathan R.I.; 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; Pedersen, Carsten Bøcker; 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; Pedersen, Marianne Giørtz; 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.; Kalman, Janos L.; Kamatani, Yoichiro; Kennedy, James L.; Kittel-Schneider, Sarah; Knowles, James A.; Kogevinas, Manolis; Koromina, Maria; Kranz, Thorsten M.; Kranzler, Henry R.; Kubo, Michiaki; Kupka, Ralph; Kushner, Steven A.; Lavebratt, Catharina; Lawrence, Jacob; Leber, Markus; Lee, Heon-Jeong; Lee, Phil H.; Levy, Shawn E.; Lewis, Catrin; Liao, Calwing; Lucae, Susanne; Lundberg, Martin; MacIntyre, Donald J.; Magnusson, Sigurdur H.; Maier, Wolfgang; Maihofer, Adam; Malaspina, Dolores; Maratou, Eirini; Martinsson, Lina; Mattheisen, Manuel; McCarroll, Steven A.; McGregor, Nathaniel W.; McGuffin, Peter; McKay, James D.; Medeiros, Helena; Medland, Sarah E.; Millischer, Vincent; Montgomery, Grant W.; Moran, Jennifer L.; Morris, Derek W.; Mühleisen, Thomas W.; O'Brien, Niamh; O'Donovan, Claire; Loohuis, Loes M. Olde; Oruc, Lilijana; Papiol, Sergi; Pardiñas, Antonio F.; Perry, Amy; Pfennig, Andrea; Porichi, Evgenia; Potash, James B.; Quested, Digby; Raj, Towfique; Rapaport, Mark H.; DePaulo, J. Raymond; Regeer, Eline J.; Rice, John P.; Rivas, Fabio; Rivera, Margarita; Roth, Julian; Roussos, Panos; Ruderfer, Douglas M.; Sánchez-Mora, Cristina; Schulte, Eva C.; Senner, Fanny; Sharp, Sally; Shilling, Paul D.; Sigurdsson, Engilbert; Sirignano, Lea; Slaney, Claire; Smeland, Olav B.; Smith, Daniel J.; Sobell, Janet L.; Søholm Hansen, Christine; Artigas, Maria Soler; Spijker, Anne T.; Stein, Dan J.; Strauss, John S.; Świątkowska, Beata; Terao, Chikashi; Thorgeirsson, Thorgeir E.; Toma, Claudio; Tooney, Paul; Tsermpini, Evangelia-Eirini; Vawter, Marquis P.; Vedder, Helmut; Walters, James T.R.; Witt, Stephanie H.; Xi, Simon; Xu, Wei; Yang, Jessica Mei Kay; Young, Allan H.; Young, Hannah; Zandi, Peter P.; Zhou, Hang; Zillich, Lea; Adolfsson, Rolf; Agartz, Ingrid; Alda, Martin; Alfredsson, Lars; Babadjanova, Gulja; Backlund, Lena; Baune, Bernhard T.; Bellivier, Frank; Bengesser, Susanne; Berrettini, Wade H.; Blackwood, Douglas H.R.; Boehnke, Michael; Børglum, Anders D.; Breen, Gerome; Carr, Vaughan J.; Catts, Stanley; Corvin, Aiden; Craddock, Nicholas; Dannlowski, Udo; Dikeos, Dimitris; Esko, Tõnu; Etain, Bruno; Ferentinos, Panagiotis; Frye, Mark; Fullerton, Janice M.; Gawlik, Micha; Gershon, Elliot S.; Goes, Fernando S.; Green, Melissa J.; Grigoroiu-Serbanescu, Maria; Hauser, Joanna; Henskens, Frans; Hillert, Jan; Hong, Kyung Sue; Hougaard, David M.; Hultman, Christina M.; Hveem, Kristian; Iwata, Nakao; Jablensky, Assen V.; Jones, Ian; Jones, Lisa A.; Kahn, René S.; Kelsoe, John R.; Kirov, George; Landén, Mikael; Leboyer, Marion; Lewis, Cathryn M.; Li, Qingqin S.; Lissowska, Jolanta; Lochner, Christine; Loughland, Carmel; Martin, Nicholas G.; Mathews, Carol A.; Mayoral, Fermin; McElroy, Susan L.; McIntosh, Andrew M.; McMahon, Francis J.; Melle, Ingrid; Michie, Patricia; Milani, Lili; Mitchell, Philip B.; Morken, Gunnar; Mors, Ole; Mortensen, Preben Bo; Mowry, Bryan; Müller-Myhsok, Bertram; Myers, Richard M.; Neale, Benjamin M.; Nievergelt, Caroline M.; Nordentoft, Merete; Nöthen, Markus M.; O'Donovan, Michael C.; Oedegaard, Ketil J.; Olsson, Tomas; Owen, Michael J.; Paciga, Sara A.; Pantelis, Chris; Pato, Carlos; Pato, Michele T.; Patrinos, George P.; Perlis, Roy H.; Posthuma, Danielle; Ramos-Quiroga, Josep Antoni; Reif, Andreas; Reininghaus, Eva Z.; Ribasés, Marta; Rietschel, Marcella; Ripke, Stephan; Rouleau, Guy A.; Saito, Takeo; Schall, Ulrich; Schalling, Martin; Schofield, Peter R.; Schulze, Thomas G.; Scott, Laura J.; Scott, Rodney J.; Serretti, Alessandro; Weickert, Cynthia Shannon; Smoller, Jordan W.; Stefansson, Hreinn; Stefansson, Kari; Stordal, Eystein; Streit, Fabian; Sullivan, Patrick F.; Turecki, Gustavo; Vaaler, Arne E.; Vieta, Eduard; Vincent, John B.; Waldman, Irwin D.; Weickert, Thomas W.; Werge, Thomas; Wray, Naomi R.; Zwart, John-Anker; Biernacka, Joanna M.; Nurnberger, John I.; Cichon, Sven; Edenberg, Howard J.; Stahl, Eli A.; McQuillin, Andrew; Florio, Arianna Di; Ophoff, Roel A.; Andreassen, Ole A.; Medical and Molecular Genetics, School of Medicine
    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.
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    GWAS Meta-Analysis of Suicide Attempt: Identification of 12 Genome-Wide Significant Loci and Implication of Genetic Risks for Specific Health Factors
    (American Psychiatric Association, 2023) Docherty, Anna R.; Mullins, Niamh; Ashley-Koch, Allison E.; Qin, Xuejun; Coleman, Jonathan R. I.; Shabalin, Andrey; Kang, JooEun; Murnyak, Balasz; Wendt, Frank; Adams, Mark; Campos, Adrian I.; DiBlasi, Emily; Fullerton, Janice M.; Kranzler, Henry R.; Bakian, Amanda V.; Monson, Eric T.; Rentería, Miguel E.; Walss-Bass, Consuelo; Andreassen, Ole A.; Behera, Chittaranjan; Bulik, Cynthia M.; Edenberg, Howard J.; Kessler, Ronald C.; Mann, J. John; Nurnberger, John I., Jr.; Pistis, Giorgio; Streit, Fabian; Ursano, Robert J.; Polimanti, Renato; Dennis, Michelle; Garrett, Melanie; Hair, Lauren; Harvey, Philip; Hauser, Elizabeth R.; Hauser, Michael A.; Huffman, Jennifer; Jacobson, Daniel; Madduri, Ravi; McMahon, Benjamin; Oslin, David W.; Trafton, Jodie; Awasthi, Swapnil; Berrettini, Wade H.; Bohus, Martin; Chang, Xiao; Chen, Hsi-Chung; Chen, Wei J.; Christensen, Erik D.; Crow, Scott; Duriez, Philibert; Edwards, Alexis C.; Fernández-Aranda, Fernando; Galfalvy, Hanga; Gandal, Michael; Gorwood, Philip; Guo, Yiran; Hafferty, Jonathan D.; Hakonarson, Hakon; Halmi, Katherine A.; Hishimoto, Akitoyo; Jain, Sonia; Jamain, Stéphane; Jiménez-Murcia, Susana; Johnson, Craig; Kaplan, Allan S.; Kaye, Walter H.; Keel, Pamela K.; Kennedy, James L.; Kim, Minsoo; Klump, Kelly L.; Levey, Daniel F.; Li, Dong; Liao, Shih-Cheng; Lieb, Klaus; Lilenfeld, Lisa; Marshall, Christian R.; Mitchell, James E.; Okazaki, Satoshi; Otsuka, Ikuo; Pinto, Dalila; Powers, Abigail; Ramoz, Nicolas; Ripke, Stephan; Roepke, Stefan; Rozanov, Vsevolod; Scherer, Stephen W.; Schmahl, Christian; Sokolowski, Marcus; Starnawska, Anna; Strober, Michael; Su, Mei-Hsin; Thornton, Laura M.; Treasure, Janet; Ware, Erin B.; Watson, Hunna J.; Witt, Stephanie H.; Woodside, D. Blake; Yilmaz, Zeynep; Zillich, Lea; Adolfsson, Rolf; Agartz, Ingrid; Alda, Martin; Alfredsson, Lars; 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.; Braff, David L.; Bryant, Richard; Budde, Monika; Byrne, Enda M.; Cahn, Wiepke; Castelao, Enrique; Cervilla, Jorge A.; Chaumette, Boris; Corvin, Aiden; Craddock, Nicholas; Djurovic, Srdjan; Foo, Jerome C.; Forstner, Andreas J.; Frye, Mark; Gatt, Justine M.; Giegling, Ina; Grabe, Hans J.; Green, Melissa J.; Grevet, Eugenio H.; Grigoroiu-Serbanescu, Maria; Gutierrez, Blanca; Guzman-Parra, Jose; Hamshere, Marian L.; Hartmann, Annette M.; 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; Krebs, Marie-Odile; Landén, Mikael; Leboyer, Marion; Lee, Phil H.; Levinson, Douglas F.; Liao, Calwing; Lissowska, Jolanta; Mayoral, Fermin; McElroy, Susan L.; McGrath, Patrick; McGuffin, Peter; McQuillin, Andrew; Mehta, Divya; Melle, Ingrid; Mitchell, Philip B.; Molina, Esther; Morken, Gunnar; Nievergelt, Caroline; Nöthen, Markus M.; O'Donovan, Michael C.; Ophoff, Roel A.; Owen, Michael J.; Pato, Carlos; Pato, Michele T.; Penninx, Brenda W. J. H.; 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.; Sanders, Alan R.; Schofield, Peter R.; Schulze, Thomas G.; Scott, Laura J.; Serretti, Alessandro; Shi, Jianxin; Sirignano, Lea; Sklar, Pamela; Smeland, Olav B.; Smoller, Jordan W.; Sonuga-Barke, Edmund J. S.; Trzaskowski, Maciej; Tsuang, Ming T.; 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.; Agerbo, Esben; Børglum, Anders D.; Breen, Gerome; Demontis, Ditte; Erlangsen, Annette; Gelernter, Joel; Glatt, Stephen J.; Hougaard, David M.; Hwu, Hai-Gwo; Kuo, Po-Hsiu; Lewis, Cathryn M.; Li, Qingqin S.; Liu, Chih-Min; Martin, Nicholas G.; McIntosh, Andrew M.; Medland, Sarah E.; Mors, Ole; Nordentoft, Merete; Olsen, Catherine M.; Porteous, David; Smith, Daniel J.; Stahl, Eli A.; Stein, Murray B.; Wasserman, Danuta; Werge, Thomas; Whiteman, David C.; Willour, Virginia; VA Million Veteran Program (MVP); MVP Suicide Exemplar Workgroup; Suicide Working Group of the Psychiatric Genomics Consortium; 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; Eating Disorder Working Group of the Psychiatric Genomics Consortium; German Borderline Genomics Consortium; Coon, Hilary; Beckham, Jean C.; Kimbrel, Nathan A.; Ruderfer, Douglas M.; Psychiatry, School of Medicine
    Objective: Suicidal behavior is heritable and is a major cause of death worldwide. Two large-scale genome-wide association studies (GWASs) recently discovered and cross-validated genome-wide significant (GWS) loci for suicide attempt (SA). The present study leveraged the genetic cohorts from both studies to conduct the largest GWAS meta-analysis of SA to date. Multi-ancestry and admixture-specific meta-analyses were conducted within groups of significant African, East Asian, and European ancestry admixtures. Methods: This study comprised 22 cohorts, including 43,871 SA cases and 915,025 ancestry-matched controls. Analytical methods across multi-ancestry and individual ancestry admixtures included inverse variance-weighted fixed-effects meta-analyses, followed by gene, gene-set, tissue-set, and drug-target enrichment, as well as summary-data-based Mendelian randomization with brain expression quantitative trait loci data, phenome-wide genetic correlation, and genetic causal proportion analyses. Results: Multi-ancestry and European ancestry admixture GWAS meta-analyses identified 12 risk loci at p values <5×10-8. These loci were mostly intergenic and implicated DRD2, SLC6A9, FURIN, NLGN1, SOX5, PDE4B, and CACNG2. The multi-ancestry SNP-based heritability estimate of SA was 5.7% on the liability scale (SE=0.003, p=5.7×10-80). Significant brain tissue gene expression and drug set enrichment were observed. There was shared genetic variation of SA with attention deficit hyperactivity disorder, smoking, and risk tolerance after conditioning SA on both major depressive disorder and posttraumatic stress disorder. Genetic causal proportion analyses implicated shared genetic risk for specific health factors. Conclusions: This multi-ancestry analysis of suicide attempt identified several loci contributing to risk and establishes significant shared genetic covariation with clinical phenotypes. These findings provide insight into genetic factors associated with suicide attempt across ancestry admixture populations, in veteran and civilian populations, and in attempt versus death.
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    A large-scale genome-wide association study meta-analysis of cannabis use disorder
    (Elsevier, 2020-12) Johnson, Emma C.; Demontis, Ditte; Thorgeirsson, Thorgeir E.; Walters, Raymond K.; Polimanti, Renato; Hatoum, Alexander S.; Sanchez-Roige, Sandra; Paul, Sarah E.; Wendt, Frank R.; Clarke, Toni-Kim; Lai, Dongbing; Reginsson, Gunnar W.; Zhou, Hang; He, June; Baranger, David A.A.; Gudbjartsson, Daniel F.; Wedow, Robbee; Adkins, Daniel E.; Adkins, Amy E.; Alexander, Jeffry; Bacanu, Silviu-Alin; Bigdeli, Tim B.; Boden, Joseph; Brown, Sandra A.; Bucholz, Kathleen K.; Bybjerg-Grauholm, Jonas; Corley, Robin P.; Degenhardt, Louisa; Dick, Danielle M.; Domingue, Benjamin W.; Fox, Louis; Goate, Alison M.; Gordon, Scott D.; Hack, Laura M.; Hancock, Dana B.; Hartz, Sarah M.; Hickie, Ian B.; Hougaard, David M.; Krauter, Kenneth; Lind, Penelope A.; McClintick, Jeanette N.; McQueen, Matthew B.; Meyers, Jacquelyn L.; Montgomery, Grant W.; Mors, Ole; Mortensen, Preben B.; Nordentoft, Merete; Pearson, John F.; Peterson, Roseann E.; Reynolds, Maureen D.; Rice, John P.; Runarsdottir, Valgerdur; Saccone, Nancy L.; Sherva, Richard; Silberg, Judy L.; Tarter, Ralph E.; Tyrfingsson, Thorarinn; Wall, Tamara L.; Webb, Bradley T.; Werge, Thomas; Wetherill, Leah; Wright, Margaret J.; Zellers, Stephanie; Adams, Mark J.; Bierut, Laura J.; Boardman, Jason D.; Copeland, William E.; Farrer, Lindsay A.; Foroud, Tatiana M.; Gillespie, Nathan A.; Grucza, Richard A.; Mullan Harris, Kathleen; Heath, Andrew C.; Hesselbrock, Victor; Hewitt, John K.; Hopfer, Christian J.; Horwood, John; Iacono, William G.; Johnson, Eric O.; Kendler, Kenneth S.; Kennedy, Martin A.; Kranzler, Henry R.; Madden, Pamela A.F.; Maes, Hermine H.; Maher, Brion S.; Martin, Nicholas G.; McGue, Matthew; McIntosh, Andrew M.; Medland, Sarah E.; Nelson, Elliot C.; Porjesz, Bernice; Riley, Brien P.; Stallings, Michael C.; Vanyukov, Michael M.; Vrieze, Scott; Davis, Lea K.; Bogdan, Ryan; Gelernter, Joel; Edenberg, Howard J.; Stefansson, Kari; Børglum, Anders D.; Agrawal, Arpana; Medical and Molecular Genetics, School of Medicine
    Background: Variation in liability to cannabis use disorder has a strong genetic component (estimated twin and family heritability about 50-70%) and is associated with negative outcomes, including increased risk of psychopathology. The aim of the study was to conduct a large genome-wide association study (GWAS) to identify novel genetic variants associated with cannabis use disorder. Methods: To conduct this GWAS meta-analysis of cannabis use disorder and identify associations with genetic loci, we used samples from the Psychiatric Genomics Consortium Substance Use Disorders working group, iPSYCH, and deCODE (20 916 case samples, 363 116 control samples in total), contrasting cannabis use disorder cases with controls. To examine the genetic overlap between cannabis use disorder and 22 traits of interest (chosen because of previously published phenotypic correlations [eg, psychiatric disorders] or hypothesised associations [eg, chronotype] with cannabis use disorder), we used linkage disequilibrium score regression to calculate genetic correlations. Findings: We identified two genome-wide significant loci: a novel chromosome 7 locus (FOXP2, lead single-nucleotide polymorphism [SNP] rs7783012; odds ratio [OR] 1·11, 95% CI 1·07-1·15, p=1·84 × 10-9) and the previously identified chromosome 8 locus (near CHRNA2 and EPHX2, lead SNP rs4732724; OR 0·89, 95% CI 0·86-0·93, p=6·46 × 10-9). Cannabis use disorder and cannabis use were genetically correlated (rg 0·50, p=1·50 × 10-21), but they showed significantly different genetic correlations with 12 of the 22 traits we tested, suggesting at least partially different genetic underpinnings of cannabis use and cannabis use disorder. Cannabis use disorder was positively genetically correlated with other psychopathology, including ADHD, major depression, and schizophrenia. Interpretation: These findings support the theory that cannabis use disorder has shared genetic liability with other psychopathology, and there is a distinction between genetic liability to cannabis use and cannabis use disorder.
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    Multi-ancestry genome-wide association study of cannabis use disorder yields insight into disease biology and public health implications
    (Springer Nature, 2023) Levey, Daniel F.; Galimberti, Marco; Deak, Joseph D.; Wendt, Frank R.; Bhattacharya, Arjun; Koller, Dora; Harrington, Kelly M.; Quaden, Rachel; Johnson, Emma C.; Gupta, Priya; Biradar, Mahantesh; Lam, Max; Cooke, Megan; Rajagopal, Veera M.; Empke, Stefany L. L.; Zhou, Hang; Nunez, Yaira Z.; Kranzler, Henry R.; Edenberg, Howard J.; Agrawal, Arpana; Smoller, Jordan W.; Lencz, Todd; Hougaard, David M.; Børglum, Anders D.; Demontis, Ditte; Veterans Affairs Million Veteran Program; Gaziano, J. Michael; Gandal, Michael J.; Polimanti, Renato; Stein, Murray B.; Gelernter, Joel; Biochemistry and Molecular Biology, School of Medicine
    As recreational use of cannabis is being decriminalized in many places and medical use widely sanctioned, there are growing concerns about increases in cannabis use disorder (CanUD), which is associated with numerous medical comorbidities. Here we performed a genome-wide association study of CanUD in the Million Veteran Program (MVP), followed by meta-analysis in 1,054,365 individuals (ncases = 64,314) from four broad ancestries designated by the reference panel used for assignment (European n = 886,025, African n = 123,208, admixed American n = 38,289 and East Asian n = 6,843). Population-specific methods were applied to calculate single nucleotide polymorphism-based heritability within each ancestry. Statistically significant single nucleotide polymorphism-based heritability for CanUD was observed in all but the smallest population (East Asian). We discovered genome-wide significant loci unique to each ancestry: 22 in European, 2 each in African and East Asian, and 1 in admixed American ancestries. A genetically informed causal relationship analysis indicated a possible effect of genetic liability for CanUD on lung cancer risk, suggesting potential unanticipated future medical and psychiatric public health consequences that require further study to disentangle from other known risk factors such as cigarette smoking.
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    Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals
    (Springer Nature, 2023) Zhou, Hang; Kember, Rachel L.; Deak, Joseph D.; Xu, Heng; Toikumo, Sylvanus; Yuan, Kai; Lind, Penelope A.; Farajzadeh, Leila; Wang, Lu; Hatoum, Alexander S.; Johnson, Jessica; Lee, Hyunjoon; Mallard, Travis T.; Xu, Jiayi; Johnston, Keira J. A.; Johnson, Emma C.; Galimberti, Marco; Dao, Cecilia; Levey, Daniel F.; Overstreet, Cassie; Byrne, Enda M.; Gillespie, Nathan A.; Gordon, Scott; Hickie, Ian B.; Whitfield, John B.; Xu, Ke; Zhao, Hongyu; Huckins, Laura M.; Davis, Lea K.; Sanchez-Roige, Sandra; Madden, Pamela A. F.; Heath, Andrew C.; Medland, Sarah E.; Martin, Nicholas G.; Ge, Tian; Smoller, Jordan W.; Hougaard, David M.; Børglum, Anders D.; Demontis, Ditte; Krystal, John H.; Gaziano, J. Michael; Edenberg, Howard J.; Agrawal, Arpana; Million Veteran Program; Justice, Amy C.; Stein, Murray B.; Kranzler, Henry R.; Gelernter, Joel; Biochemistry and Molecular Biology, School of Medicine
    Problematic alcohol use (PAU), a trait that combines alcohol use disorder and alcohol-related problems assessed with a questionnaire, is a leading cause of death and morbidity worldwide. Here we conducted a large cross-ancestry meta-analysis of PAU in 1,079,947 individuals (European, N = 903,147; African, N = 122,571; Latin American, N = 38,962; East Asian, N = 13,551; and South Asian, N = 1,716 ancestries). We observed a high degree of cross-ancestral similarity in the genetic architecture of PAU and identified 110 independent risk variants in within- and cross-ancestry analyses. Cross-ancestry fine mapping improved the identification of likely causal variants. Prioritizing genes through gene expression and chromatin interaction in brain tissues identified multiple genes associated with PAU. We identified existing medications for potential pharmacological studies by a computational drug repurposing analysis. Cross-ancestry polygenic risk scores showed better performance of association in independent samples than single-ancestry polygenic risk scores. Genetic correlations between PAU and other traits were observed in multiple ancestries, with other substance use traits having the highest correlations. This study advances our knowledge of the genetic etiology of PAU, and these findings may bring possible clinical applicability of genetics insights-together with neuroscience, biology and data science-closer.
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    A polygenic resilience score moderates the genetic risk for schizophrenia
    (Springer Nature, 2021-03) 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.; Glatt, Stephen J.; Biochemistry and Molecular Biology, School of Medicine
    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.
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    Sex-Dependent Shared and Non-Shared Genetic Architecture Across Mood and Psychotic Disorders
    (Elsevier, 2022) Blokland, Gabriëlla A. M.; 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.; Shi, Jianxin; Knowles, James A.; Perlis, Roy H.; Lucae, Susanne; Boomsma, Dorret I.; Penninx, Brenda W. J. H.; Hottenga, Jouke-Jan; de Geus, Eco J. C.; Willemsen, Gonneke; Milaneschi, Yuri; Tiemeier, Henning; Grabe, Hans J.; Teumer, Alexander; Van der Auwera, Sandra; Völker, Uwe; Hamilton, Steven P.; Magnusson, Patrik K. E.; Viktorin, Alexander; Mehta, Divya; Mullins, Niamh; Adams, Mark J.; Breen, Gerome; McIntosh, Andrew M.; Lewis, Cathryn M.; Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium; iPSYCH; Hougaard, David M.; Nordentoft, Merete; Mors, Ole; Mortensen, Preben B.; Werge, Thomas; Als, Thomas D.; Børglum, Anders D.; Petryshen, Tracey L.; Smoller, Jordan W.; Goldstein, Jill M.; Psychiatry, School of Medicine
    Background: Sex 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. Methods: We 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. Results: Across 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). Conclusions: In 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.