Disentangling selection on genetically correlated polygenic traits via whole-genome genealogies.

ABSTRACT: We present a full-likelihood method to infer polygenic adaptation from DNA sequence variation and GWAS summary statistics to quantify recent transient directional selection acting on a complex trait. Through simulations of polygenic trait architecture evolution and GWASs, we show the method substantially improves power over current methods. We examine the robustness of the method under stratification, uncertainty and bias in marginal effects, uncertainty in the causal SNPs, allelic heterogeneity, negative selection, and low GWAS sample size. The method can quantify selection acting on correlated traits, controlling for pleiotropy even among traits with strong genetic correlation (|r_g|=80%) while retaining high power to attribute selection to the causal trait. When the causal tra

SUBMITTER: Stern AJ 

PROVIDER: S-EPMC7895848 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature