RT Journal Article
SR Electronic
T1 An Atlas of Genetic Correlations across Human Diseases and Traits
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 014498
DO 10.1101/014498
A1 Brendan Bulik-Sullivan
A1 Hilary K Finucane
A1 Verneri Anttila
A1 Alexander Gusev
A1 Felix R. Day
A1 ReproGen Consortium
A1 Psychiatric Genomics Consortium
A1 Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 3
A1 Laramie Duncan
A1 John R. B. Perry
A1 Nick Patterson
A1 Elise B. Robinson
A1 Mark J. Daly
A1 Alkes L. Price
A1 Benjamin M. Neale
YR 2015
UL http://biorxiv.org/content/early/2015/04/06/014498.abstract
AB 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.