Genome-wide association study of lung function decline using elastic-net regression: a prospective analysis in Korean cohort.

ABSTRACT:

Background

A rapid decline in forced expiratory volume in one second (FEV₁) can lead to chronic airway disease and is associated with poor prognosis. This study aims to identify single nucleotide polymorphisms (SNPs) associated with the annual rate of FEV₁ decline, investigate the differential effects based on various phenotypes, and develop a genetic risk score (GRS) for predicting rapid FEV₁ decline.

Methods

We conducted a genome-wide association study (GWAS) within the prospective Korean Genome and Epidemiology Study (KoGES) cohort. The association of each SNP with the annual decline rate of FEV₁ was assessed using a linear regression model. We employed elastic-net regression analysis to identify SNPs associated with FEV_1</

SUBMITTER: Bae E 

PROVIDER: S-EPMC12771834 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature