Sleep Duration Polygenic Risk and Phenotype: Associations with Biomarkers of Accelerated Aging in the Baltimore Longitudinal Study of Aging

Overview

Journal Int J Aging Hum Dev

Publisher Sage Publications

Specialty Geriatrics

Date 2024 Feb 13

PMID 38347745

Authors

David W Sosnowski

Emily J Smail

Brion S Maher

Ann Zenobia Moore

Pei-Lun Kuo

Mark N Wu

Dominique V Low

Katie L Stone

Eleanor M Simonsick

Luigi Ferrucci

Adam P Spira

Affiliations

Soon will be listed here.

Abstract

We sought to explore whether genetic risk for, and self-reported, short sleep are associated with biological aging and whether age and sex moderate these associations. Participants were a subset of individuals from the Baltimore Longitudinal Study of Aging who had complete data on self-reported sleep ( = 567) or genotype ( = 367). Outcomes included: Intrinsic Horvath age, Hannum age, PhenoAge, GrimAge, and DNAm-based estimates of plasminogen activator inhibitor-1 (PAI-1) and granulocyte count. Results demonstrated that polygenic risk for short sleep was positively associated with granulocyte count; compared to those reporting <6 hr sleep, those reporting >7 hr demonstrated faster PhenoAge and GrimAge acceleration and higher estimated PAI-1. Polygenic risk for short sleep and self-reported sleep duration interacted with age and sex in their associations with some of the outcomes. Findings highlight that polygenic risk for short sleep and self-reported long sleep is associated with variation in the epigenetic landscape and subsequently aging.

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