Identifying key genes in COPD risk via multiple population data integration and gene prioritization.

ABSTRACT: Chronic obstructive pulmonary disease (COPD) is a highly prevalent disease, making it a leading cause of death worldwide. Several genome-wide association studies (GWAS) have been conducted to identify loci associated with COPD. However, different ancestral genetic compositions for the same disease across various populations present challenges in studies involving multi-population data. In this study, we aimed to identify protein-coding genes associated with COPD by prioritizing genes for each population's GWAS data, and then combining these results instead of performing a common meta-GWAS due to significant sample differences in different population cohorts. Lung function measurements are often used as indicators for COPD risk prediction; therefore, we used lung function GWAS data from two

SUBMITTER: Zainab A 

PROVIDER: S-EPMC11542775 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature