Browsing by Author "Malhotra, Anil K."

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    Penetrance and Pleiotropy of Polygenic Risk Scores for Schizophrenia, Bipolar Disorder, and Depression Among Adults in the US Veterans Affairs Health Care System
    (American Medical Association, 2022-09-14) Bigdeli, Tim B.; Voloudakis, Georgios; Barr, Peter B.; Gorman, Bryan R.; Genovese, Giulio; Peterson, Roseann E.; Burstein, David E.; Velicu, Vlad I.; Li, Yuli; Gupta, Rishab; Mattheisen, Manuel; Tomasi, Simone; Rajeevan, Nallakkandi; Sayward, Frederick; Radhakrishnan, Krishnan; Natarajan, Sundar; Malhotra, Anil K.; Shi, Yunling; Zhao, Hongyu; Kosten, Thomas R.; Concato, John; O'Leary, Timothy J.; Przygodzki, Ronald; Gleason, Theresa; Pyarajan, Saiju; Brophy, Mary; Huang, Grant D.; Muralidhar, Sumitra; Gaziano, J. Michael; Aslan, Mihaela; Fanous, Ayman H.; Harvey, Philip D.; Roussos, Panos; Cooperative Studies Program (CSP); Million Veteran Program (MVP); Psychiatry, School of Medicine
    Importance: Serious mental illnesses, including schizophrenia, bipolar disorder, and depression, are heritable, highly multifactorial disorders and major causes of disability worldwide. Objective: To benchmark the penetrance of current neuropsychiatric polygenic risk scores (PRSs) in the Veterans Health Administration health care system and to explore associations between PRS and broad categories of human disease via phenome-wide association studies. Design, setting, and participants: Extensive Veterans Health Administration's electronic health records were assessed from October 1999 to January 2021, and an embedded cohort of 9378 individuals with confirmed diagnoses of schizophrenia or bipolar 1 disorder were found. The performance of schizophrenia, bipolar disorder, and major depression PRSs were compared in participants of African or European ancestry in the Million Veteran Program (approximately 400 000 individuals), and associations between PRSs and 1650 disease categories based on ICD-9/10 billing codes were explored. Last, genomic structural equation modeling was applied to derive novel PRSs indexing common and disorder-specific genetic factors. Analysis took place from January 2021 to January 2022. Main outcomes and measures: Diagnoses based on in-person structured clinical interviews were compared with ICD-9/10 billing codes. PRSs were constructed using summary statistics from genome-wide association studies of schizophrenia, bipolar disorder, and major depression. Results: Of 707 299 enrolled study participants, 459 667 were genotyped at the time of writing; 84 806 were of broadly African ancestry (mean [SD] age, 58 [12.1] years) and 314 909 were of broadly European ancestry (mean [SD] age, 66.4 [13.5] years). Among 9378 individuals with confirmed diagnoses of schizophrenia or bipolar 1 disorder, 8962 (95.6%) were correctly identified using ICD-9/10 codes (2 or more). Among those of European ancestry, PRSs were robustly associated with having received a diagnosis of schizophrenia (odds ratio [OR], 1.81 [95% CI, 1.76-1.87]; P < 10-257) or bipolar disorder (OR, 1.42 [95% CI, 1.39-1.44]; P < 10-295). Corresponding effect sizes in participants of African ancestry were considerably smaller for schizophrenia (OR, 1.35 [95% CI, 1.29-1.42]; P < 10-38) and bipolar disorder (OR, 1.16 [95% CI, 1.11-1.12]; P < 10-10). Neuropsychiatric PRSs were associated with increased risk for a range of psychiatric and physical health problems. Conclusions and relevance: Using diagnoses confirmed by in-person structured clinical interviews and current neuropsychiatric PRSs, the validity of an electronic health records-based phenotyping approach in US veterans was demonstrated, highlighting the potential of PRSs for disentangling biological and mediated pleiotropy.
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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.