Using Polygenic Risk Scores to Evaluate Definitions of Self-Reported Sleep Phenotypes Across Cohorts

Authors

• Annah B Wyss
• Michael Brown
• Xiang Li
• Brian W Spitzer
• Zhijie Huang
• Heming Wang
• Richa Saxena
• Linda Gallo
• Qibin Qi
• Wassim Tarraf
• Robert Kaplan
• Melissa Lamar
• Hector M González
• Charles DeCarli
• Myriam Fornage
• Jerome I Rotter
• Stephen S Rich
• Kent D Taylor
• Xiuqing Guo
• Alexis C Wood
• Peter Y Liu
• Susan R Heckbert
• Chloé Sarnowski
• Jan Bressler
• Alanna C Morrison
• Bing Yu
• Pamela L Lutsey
• Carmen R Isasi
• Susan Redline
• Tamar Sofer

Language

English

Publication Date

7-21-2026

Journal

Sleep

DOI

10.1093/sleep/zsag200

PMID

42479672

Abstract

Study objectives: Since genome-wide association studies (GWAS) of sleep phenotypes have been conducted in differing populations and definitions of sleep phenotypes vary across studies, we investigated associations between several polygenic risk scores (PRSs) and potential sleep definitions among multiethnic cohorts.

Methods: Using data from four cohorts (HCHS/SOL, ARIC, MESA, BHS, N = 16 895), we considered multiple definitions of short and long sleep, insomnia, and excessive daytime sleepiness (EDS). PRSs were developed based on summary statistics from GWAS in European ancestry individuals from the UK Biobank (UKB) and from GWAS conducted in a multiethnic population from the Million Veteran Program (MVP). Study-specific analyses estimated associations between sleep PRSs and corresponding sleep measures per 1 standard deviation increase in the PRS. Models were adjusted for age, sex, ancestral principal components, and center and race as appropriate. Results were meta-analyzed across studies.

Results: PRSs based on European ancestry UKB GWAS had statistically significant associations with multiple definitions of the corresponding sleep phenotypes. Associations that were most consistent across studies included: short sleep PRS with ≤6 hours (OR = 1.23,p = 1.80x10-7,phet = 0.97); long sleep PRS with ≥9 hours (OR = 1.09,p = 6.76x10-4,phet = 0.77); insomnia PRS with the Women's Health Initiative Insomnia Rating Scale (WHIIRS) ≥10 or a subset of three questions ≥6 in ARIC (OR = 1.17,p = 5.51x10-10,phet = 0.69); and EDS PRS with Epworth Sleepiness Scale (ESS) ≥11 (OR = 1.23,p = 1.83x10-13,phet = 0.83). PRSs based on multi-ancestry MVP GWAS had weaker associations compared to those based on European ancestry only.

Conclusions: By evaluating several types of sleep PRSs and sleep phenotypes, we were able to highlight which sleep PRS performed well across diverse populations and which sleep definitions better captured genetic underpinnings.

Keywords

Excessive Daytime Sleepiness, Genetic Risk Score, Insomnia, Sleep, Sleep Duration

Published Open-Access

yes

Recommended Citation

Wyss, Annah B; Brown, Michael; Li, Xiang; et al., "Using Polygenic Risk Scores to Evaluate Definitions of Self-Reported Sleep Phenotypes Across Cohorts" (2026). Faculty, Staff and Students Publications. 7725.
https://digitalcommons.library.tmc.edu/baylor_docs/7725