Lectures and seminars Software Workshop: High-definition likelihood inference of genetic correlations across human complex traits
Xia Shen and Zheng Ning will present their new High-Definition Likelihood (HDL) method to improve precision in genetic correlation estimation.
Abstract
Genetic correlation is a central parameter for understanding shared genetic architecture between complex traits. Making use of genome-wide association study summary statistics, LD Score regression (LDSC) was developed for unbiased estimation of genetic correlations. However, LDSC only partially uses linkage disequilibrium (LD) information.
In this workshop, we present a High-Definition Likelihood (HDL) method to improve precision in genetic correlation estimation. Compared to LDSC, HDL reduces the variance of genetic correlation estimates by about 60%, equivalent to a 2.5-fold increase in sample size. Following the presentation, we organize an online tutorial session showing how the developed tool can be applied on real GWAS summary-level data.
Join Zoom Meeting: https://ki-se.zoom.us/j/63888475213
Meeting ID: 638 8847 5213