TY - JOUR T1 - An Atlas of Genetic Correlations across Human Diseases and Traits JF - bioRxiv DO - 10.1101/014498 SP - 014498 AU - Brendan Bulik-Sullivan AU - Hilary K Finucane AU - Verneri Anttila AU - Alexander Gusev AU - Felix R. Day AU - ReproGen Consortium AU - Psychiatric Genomics Consortium AU - Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 3 AU - Laramie Duncan AU - John R. B. Perry AU - Nick Patterson AU - Elise B. Robinson AU - Mark J. Daly AU - Alkes L. Price AU - Benjamin M. Neale Y1 - 2015/01/01 UR - http://biorxiv.org/content/early/2015/04/06/014498.abstract N2 - Identifying genetic correlations between complex traits and diseases can provide useful etiological insights and help prioritize likely causal relationships. The major challenges preventing estimation of genetic correlation from genome-wide association study (GWAS) data with current methods are the lack of availability of individual genotype data and widespread sample overlap among meta-analyses. We circumvent these difficulties by introducing a technique for estimating genetic correlation that requires only GWAS summary statistics and is not biased by sample overlap. We use our method to estimate 300 genetic correlations among 25 traits, totaling more than 1.5 million unique phenotype measurements. Our results include genetic correlations between anorexia nervosa and schizophrenia, anorexia and obesity and associations between educational attainment and several diseases. These results highlight the power of genome-wide analyses, since there currently are no genome-wide significant SNPs for anorexia nervosa and only three for educational attainment. ER -