Improved detection of common variants associated with schizophrenia by leveraging pleiotropy with cardiovascular-disease risk factors.

ABSTRACT: Several lines of evidence suggest that genome-wide association studies (GWASs) have the potential to explain more of the "missing heritability" of common complex phenotypes. However, reliable methods for identifying a larger proportion of SNPs are currently lacking. Here, we present a genetic-pleiotropy-informed method for improving gene discovery with the use of GWAS summary-statistics data. We applied this methodology to identify additional loci associated with schizophrenia (SCZ), a highly heritable disorder with significant missing heritability. Epidemiological and clinical studies suggest comorbidity between SCZ and cardiovascular-disease (CVD) risk factors, including systolic blood pressure, triglycerides, low- and high-density lipoprotein, body mass index, waist-to-hip ratio, and ty

SUBMITTER: Andreassen OA 

PROVIDER: S-EPMC3567279 | biostudies-literature | 2013 Feb

REPOSITORIES: biostudies-literature