Discovery of genomic loci associated with sleep apnea risk through multi-trait GWAS analysis with snoring.

ABSTRACT:

Study objectives

Despite its association with severe health conditions, the etiology of sleep apnea (SA) remains understudied. This study sought to identify genetic variants robustly associated with SA risk.

Methods

We performed a genome-wide association study (GWAS) meta-analysis of SA across five cohorts (NTotal = 523 366), followed by a multi-trait analysis of GWAS (multi-trait analysis of genome-wide association summary statistics [MTAG]) to boost power, leveraging the high genetic correlation between SA and snoring. We then adjusted our results for the genetic effects of body mass index (BMI) using multi-trait-based conditional and joint analysis (mtCOJO) and sought replication of lead hits in a large cohort of participants from 23andMe, Inc (NTotal = 1 477 352; Ncases 

SUBMITTER: Campos AI 

PROVIDER: S-EPMC9995783 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature