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

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

Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA. · pubmed

Paper

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 (

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper claims that genetic risk for short sleep and self-reported short sleep are associated with biomarkers of accelerated aging. This research explores the relationship between sleep duration and biological aging, which is pertinent to understanding the mechanisms of aging and potential interventions.

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