A method for an unbiased estimate of cross-ancestry genetic correlation using individual-level data.

ABSTRACT: Cross-ancestry genetic correlation is an important parameter to understand the genetic relationship between two ancestry groups. However, existing methods cannot properly account for ancestry-specific genetic architecture, which is diverse across ancestries, producing biased estimates of cross-ancestry genetic correlation. Here, we present a method to construct a genomic relationship matrix (GRM) that can correctly account for the relationship between ancestry-specific allele frequencies and ancestry-specific allelic effects. Through comprehensive simulations, we show that the proposed method outperforms existing methods in the estimations of SNP-based heritability and cross-ancestry genetic correlation. The proposed method is further applied to anthropometric and other complex traits from

SUBMITTER: Momin MM 

PROVIDER: S-EPMC9911789 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature