Unknown

Dataset Information

Identifying chronic obstructive pulmonary disease subtypes using multi-trait genetics.


ABSTRACT:

Background

Chronic Obstructive Pulmonary Disease (COPD) has a broad spectrum of clinical characteristics. The aetiology of these differences is not well understood. The objective of this study is to assess whether respiratory genetic variants cluster by phenotype and associate with COPD heterogeneity.

Methods

We clustered genome-wide association studies of COPD, lung function, and asthma and phenotypes from the UK Biobank using non-negative matrix factorization. We constructed cluster-specific genetic risk scores and tested these scores for association with phenotypes in non-Hispanic white subjects in the COPDGene study.

Findings

We identified three clusters from 482 variants and 44 traits from genetic associations in 379,337 UK Biobank participants. Variants from ast

SUBMITTER: Ziyatdinov A 

PROVIDER: S-EPMC11905855 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature