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Browsing by Author "Periyasamy, Sathish"
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Item Genome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations(Elsevier, 2019-10-10) Peterson, Roseann E.; Kuchenbaecker, Karoline; Walters, Raymond K.; Chen, Chia-Yen; Popejoy, Alice B.; Periyasamy, Sathish; Lam, Max; Iyegbe, Conrad; Strawbridge, Rona J.; Brick, Leslie; Carey, Caitlin E.; Martin, Alicia R.; Meyers, Jacquelyn L.; Su, Jinni; Chen, Junfang; Edwards, Alexis C.; Kalungi, Allan; Koen, Nastassja; Majara, Lerato; Schwarz, Emanuel; Smoller, Jordan W.; Stahl, Eli A.; Sullivan, Patrick F.; Vassos, Evangelos; Mowry, Bryan; Prieto, Miguel L.; Cuellar-Barboza, Alfredo; Bigdeli, Tim B.; Edenberg, Howard J.; Huang, Hailiang; Duncan, Laramie E.; Biochemistry and Molecular Biology, School of MedicineGenome-wide association studies (GWAS) have focused primarily on populations of European descent, but it is essential that diverse populations become better represented. Increasing diversity among study participants will advance our understanding of genetic architecture in all populations and ensure that genetic research is broadly applicable. To facilitate and promote research in multi-ancestry and admixed cohorts, we outline key methodological considerations and highlight opportunities, challenges, solutions, and areas in need of development. Despite the perception that analyzing genetic data from diverse populations is difficult, it is scientifically and ethically imperative, and there is an expanding analytical toolbox to do it well.Item 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 MedicineBackground: 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.