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Dataset Information

Genome-wide gene by sleepiness interaction analysis for sleep apnea.


ABSTRACT:

Study objectives

Excessive daytime sleepiness (EDS), influenced by environmental and social-behavioral factors, is reported by a subset of patients with sleep apnea-a group that may be at elevated cardiovascular risk. However, it is unclear whether sleep apnea with and without EDS have distinct genetic underpinnings. In this study, we perform gene-by-EDS interaction analyses for apnea hypopnea index, a diagnostic marker of sleep apnea severity, to understand EDS's influence on its underlying genetic risk.

Methods

Discovery interaction analyses for common variants and gene-based rare variants were conducted respectively using multi-ethnic Trans-Omics for Precision Medicine (N = 11 619) data, followed by replication and subsequent meta-analysis in additional Trans-Omics for Pr

SUBMITTER: Nagarajan P 

PROVIDER: S-EPMC12795742 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature