bioRxivGenetics
Genome-wide association study of 40,000 individuals identifies two novel loci associated with bipolar disorder
Liping HouiD, Sarah E Bergen, Nirmala AkulaiD, Jie Song, Christina M Hultman, Mikael Landen, Mazda AdliiD, Martin AldaiD, Raffaella ArdauiD, Barbara Arias, Jean-Michel Aubry, Lena BacklundiD, Judith A Badner, Thomas B Barrett, Michael Bauer, Bernhard T Baune, Frank BellivieriD, Antonio BenabarreiD, Susanne BengesseriD, Wade H Berrettini, Abesh Kumar Bhattacharjee, Joanna M Biernacka, Armin BirneriD, Cinnamon S Bloss, Clara Brichant-Petitjean, , Franziska Degenh
Abstract
Bipolar disorder (BD) is a genetically complex mental illness characterized by severe oscillations of mood and behavior. Genome-wide association studies (GWAS) have identified several risk loci that together account for a small portion of the heritability. To identify additional risk loci, we performed a two-stage meta-analysis of >9 million genetic variants in 9,784 bipolar disorder patients and 30,471 controls, the largest GWAS of BD to date. In this study, to increase power we used ~2,000 lithium-treated cases with a long-term diagnosis of BD from the Consortium on Lithium Genetics, excess controls, and analytic methods optimized for markers on the X-chromosome. In addition to four known loci, results revealed genome-wide significant associations at two novel loci: an intergenic region on 9p21.3 (rs12553324, p = 5.87x10-9; odds ratio = 1.12) and markers within ERBB2 (rs2517959, p = 4.53x10-9; odds ratio = 1.13). No significant X-chromosome associations were detected and X-linked markers explained very little BD heritability. The results add to a growing list of common autosomal variants involved in BD and illustrate the power of comparing well-characterized cases to an excess of controls in GWAS.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
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