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

Autor: Md. Moksedul Momin, Jisu Shin, Soohyun Lee, Buu Truong, Beben Benyamin, S. Hong Lee
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-023-36281-x
Popis: 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.
Databáze: Directory of Open Access Journals