Benchmarking of local genetic correlation estimation methods using summary statistics from genome-wide association studies.

ABSTRACT: Local genetic correlation evaluates the correlation of additive genetic effects between different traits across the same genetic variants at a genomic locus. It has been proven informative for understanding the genetic similarities of complex traits beyond that captured by global genetic correlation calculated across the whole genome. Several summary-statistics-based approaches have been developed for estimating local genetic correlation, including $\rho$-hess, SUPERGNOVA and LAVA. However, there has not been a comprehensive evaluation of these methods to offer practical guidelines on the choices of these methods. In this study, we conduct benchmark comparisons of the performance of these three methods through extensive simulation and real data analyses. We focus on two technical difficult

SUBMITTER: Zhang C 

PROVIDER: S-EPMC10654488 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature