Comparison of methods for estimating genetic correlation between complex traits using GWAS summary statistics.

ABSTRACT: Genetic correlation is the correlation of phenotypic effects by genetic variants across the genome on two phenotypes. It is an informative metric to quantify the overall genetic similarity between complex traits, which provides insights into their polygenic genetic architecture. Several methods have been proposed to estimate genetic correlation based on data collected from genome-wide association studies (GWAS). Due to the easy access of GWAS summary statistics and computational efficiency, methods only requiring GWAS summary statistics as input have become more popular than methods utilizing individual-level genotype data. Here, we present a benchmark study for different summary-statistics-based genetic correlation estimation methods through simulation and real data applications. We focus

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC8425307 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature