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GWAS Study

Multi-trait and multi-ancestry genetic analysis of comorbid lung diseases and traits improves genetic discovery and polygenic risk prediction.

He Y, Lu W, Jee YH et al.

41565855 PubMed ID
GWAS Study Type
129680 Participants
137 Views
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

HY
He Y
LW
Lu W
JY
Jee YH
SM
Shih MY
WY
Wang Y
TK
Tsuo K
QD
Qian DC
DJ
Diao JA
HH
Huang H
PC
Patel CJ
BJ
Byun J
PB
Pasaniuc B
AE
Atkinson EG
AC
Amos CI
FY
Feng YA
MM
Moll M
CM
Cho MH
MA
Martin AR
Chapter II

Abstract

Summary of the research findings

While respiratory diseases such as chronic obstructive pulmonary disease (COPD) and asthma share many risk factors, most studies investigate them in isolation and in predominantly European-ancestry populations. Here, we conducted the most powerful multi-trait and multi-ancestry genetic analysis of respiratory diseases and auxiliary traits to date, identifying 25 new loci associated with lung function in individuals of East Asian ancestry. Using these results, we developed PRSxtra (cross-trait and cross-ancestry), a multi-trait and multi-ancestry polygenic risk score (PRS) approach that leverages shared components of heritable risk via pleiotropic effects. PRSxtra significantly improved the prediction of asthma, COPD and lung cancer compared to trait- and ancestry-matched PRSs in a multi-ancestry cohort from the All of Us Research Program, especially in diverse populations. Our results present a new framework for multi-trait and multi-ancestry studies of respiratory diseases to improve genetic discovery and polygenic prediction.

129,680 East Asian ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

129680
Total Participants
GWAS
Study Type
No
Replicated
East Asian
Ancestry
Taiwan, Republic of Korea
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

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