Language
English
Publication Date
2-1-2026
Journal
Nature Genetics
DOI
10.1038/s41588-025-02470-1
PMID
41565855
PMCID
PMC13284852
PubMedCentral® Posted Date
6-23-2026
PubMedCentral® Full Text Version
Author MSS
Abstract
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.
Keywords
Humans, Genetic Risk Score, Multifactorial Inheritance, Genetic Predisposition to Disease, Lung Diseases, Genome-Wide Association Study, Pulmonary Disease, Chronic Obstructive, Polymorphism, Single Nucleotide, Asthma, Comorbidity, Risk Factors, Lung Neoplasms, East Asian People, European People
Published Open-Access
yes
Recommended Citation
He, Yixuan; Lu, Wenhan; Jee, Yon Ho; et al., "Multi-Trait and Multi-Ancestry Genetic Analysis of Comorbid Lung Diseases and Traits Improves Genetic Discovery and Polygenic Risk Prediction" (2026). Faculty, Staff and Students Publications. 7112.
https://digitalcommons.library.tmc.edu/baylor_docs/7112