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Multi-ancestry genome-wide association study of cannabis use disorder yields insight into disease biology and public health implications.
Levey DF, Galimberti M, Deak JD, Wendt FR, Bhattacharya A, Koller D, Harrington KM, Quaden R, Johnson EC, Gupta P, Biradar M, Lam M, Cooke M, Rajagopal VM, Empke SLL, Zhou H, Nunez YZ, Kranzler HR, Edenberg HJ, Agrawal A, Smoller JW, Lencz T, Hougaard DM, Børglum AD, Demontis D; Veterans Affairs Million Veteran Program; Gaziano JM, Gandal MJ, Polimanti R, Stein MB, Gelernter J. Levey DF, et al. Among authors: lencz t. Nat Genet. 2023 Dec;55(12):2094-2103. doi: 10.1038/s41588-023-01563-z. Epub 2023 Nov 20. Nat Genet. 2023. PMID: 37985822 Free PMC article.
Genome-wide association study identifies five new schizophrenia loci.
Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium. Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium. Nat Genet. 2011 Sep 18;43(10):969-76. doi: 10.1038/ng.940. Nat Genet. 2011. PMID: 21926974 Free PMC article.
All SNPs are not created equal: genome-wide association studies reveal a consistent pattern of enrichment among functionally annotated SNPs.
Schork AJ, Thompson WK, Pham P, Torkamani A, Roddey JC, Sullivan PF, Kelsoe JR, O'Donovan MC, Furberg H; Tobacco and Genetics Consortium; Bipolar Disorder Psychiatric Genomics Consortium; Schizophrenia Psychiatric Genomics Consortium; Schork NJ, Andreassen OA, Dale AM. Schork AJ, et al. PLoS Genet. 2013 Apr;9(4):e1003449. doi: 10.1371/journal.pgen.1003449. Epub 2013 Apr 25. PLoS Genet. 2013. PMID: 23637621 Free PMC article.
Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs.
Cross-Disorder Group of the Psychiatric Genomics Consortium; Lee SH, Ripke S, Neale BM, Faraone SV, Purcell SM, Perlis RH, Mowry BJ, Thapar A, Goddard ME, Witte JS, Absher D, Agartz I, Akil H, Amin F, Andreassen OA, Anjorin A, Anney R, Anttila V, Arking DE, Asherson P, Azevedo MH, Backlund L, Badner JA, Bailey AJ, Banaschewski T, Barchas JD, Barnes MR, Barrett TB, Bass N, Battaglia A, Bauer M, Bayés M, Bellivier F, Bergen SE, Berrettini W, Betancur C, Bettecken T, Biederman J, Binder EB, Black DW, Blackwood DH, Bloss CS, Boehnke M, Boomsma DI, Breen G, Breuer R, Bruggeman R, Cormican P, Buccola NG, Buitelaar JK, Bunney WE, Buxbaum JD, Byerley WF, Byrne EM, Caesar S, Cahn W, Cantor RM, Casas M, Chakravarti A, Chambert K, Choudhury K, Cichon S, Cloninger CR, Collier DA, Cook EH, Coon H, Cormand B, Corvin A, Coryell WH, Craig DW, Craig IW, Crosbie J, Cuccaro ML, Curtis D, Czamara D, Datta S, Dawson G, Day R, De Geus EJ, Degenhardt F, Djurovic S, Donohoe GJ, Doyle AE, Duan J, Dudbridge F, Duketis E, Ebstein RP, Edenberg HJ, Elia J, Ennis S, Etain B, Fanous A, Farmer AE, Ferrier IN, Flickinger M, Fombonne E, Foroud T, Frank J, Franke B, Fraser C, Freedman R, Freimer NB, Freitag CM, Fri… See abstract for full author list ➔ Cross-Disorder Group of the Psychiatric Genomics Consortium, et al. Among authors: lencz t. Nat Genet. 2013 Sep;45(9):984-94. doi: 10.1038/ng.2711. Epub 2013 Aug 11. Nat Genet. 2013. PMID: 23933821 Free PMC article.
Biological insights from 108 schizophrenia-associated genetic loci.
Schizophrenia Working Group of the Psychiatric Genomics Consortium. Schizophrenia Working Group of the Psychiatric Genomics Consortium. Nature. 2014 Jul 24;511(7510):421-7. doi: 10.1038/nature13595. Epub 2014 Jul 22. Nature. 2014. PMID: 25056061 Free PMC article.
Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases.
Gusev A, Lee SH, Trynka G, Finucane H, Vilhjálmsson BJ, Xu H, Zang C, Ripke S, Bulik-Sullivan B, Stahl E; Schizophrenia Working Group of the Psychiatric Genomics Consortium; SWE-SCZ Consortium; Kähler AK, Hultman CM, Purcell SM, McCarroll SA, Daly M, Pasaniuc B, Sullivan PF, Neale BM, Wray NR, Raychaudhuri S, Price AL; Schizophrenia Working Group of the Psychiatric Genomics Consortium; SWE-SCZ Consortium. Gusev A, et al. Am J Hum Genet. 2014 Nov 6;95(5):535-52. doi: 10.1016/j.ajhg.2014.10.004. Epub 2014 Nov 6. Am J Hum Genet. 2014. PMID: 25439723 Free PMC article.
Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder.
Maier R, Moser G, Chen GB, Ripke S; Cross-Disorder Working Group of the Psychiatric Genomics Consortium; Coryell W, Potash JB, Scheftner WA, Shi J, Weissman MM, Hultman CM, Landén M, Levinson DF, Kendler KS, Smoller JW, Wray NR, Lee SH. Maier R, et al. Am J Hum Genet. 2015 Feb 5;96(2):283-94. doi: 10.1016/j.ajhg.2014.12.006. Epub 2015 Jan 29. Am J Hum Genet. 2015. PMID: 25640677 Free PMC article.
Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores.
Vilhjálmsson BJ, Yang J, Finucane HK, Gusev A, Lindström S, Ripke S, Genovese G, Loh PR, Bhatia G, Do R, Hayeck T, Won HH; Schizophrenia Working Group of the Psychiatric Genomics Consortium, Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) study; Kathiresan S, Pato M, Pato C, Tamimi R, Stahl E, Zaitlen N, Pasaniuc B, Belbin G, Kenny EE, Schierup MH, De Jager P, Patsopoulos NA, McCarroll S, Daly M, Purcell S, Chasman D, Neale B, Goddard M, Visscher PM, Kraft P, Patterson N, Price AL. Vilhjálmsson BJ, et al. Am J Hum Genet. 2015 Oct 1;97(4):576-92. doi: 10.1016/j.ajhg.2015.09.001. Am J Hum Genet. 2015. PMID: 26430803 Free PMC article.
251 results