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

Md. Moksedul Momin; Jisu Shin; Soohyun Lee; Buu Truong; Beben Benyamin; S. Hong Lee

doi:10.1038/s41467-023-36281-x

Nature Communications (Feb 2023)

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

Md. Moksedul Momin,
Jisu Shin,
Soohyun Lee,
Buu Truong,
Beben Benyamin,
S. Hong Lee

Affiliations

Md. Moksedul Momin: Australian Centre for Precision Health, University of South Australia
Jisu Shin: Australian Centre for Precision Health, University of South Australia
Soohyun Lee: Division of Animal Breeding and Genetics, National Institute of Animal Science (NIAS)
Buu Truong: Australian Centre for Precision Health, University of South Australia
Beben Benyamin: Australian Centre for Precision Health, University of South Australia
S. Hong Lee: Australian Centre for Precision Health, University of South Australia

DOI: https://doi.org/10.1038/s41467-023-36281-x
Journal volume & issue: Vol. 14, no. 1
pp. 1 – 13

Abstract

Read online

Cross-ancestry genetic correlation can reveal differences in the genetic basis of traits between populations, but methods can be biased by ancestry-specific genetic architecture. Here, the authors present a method to for estimating cross-ancestry genetic correlations, accounting for ancestry-specific genetic architecture.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

About the journal