ArticleSleep2026
Subjective sleep traits and cognition across mid- to late-adulthood: a cross-sectional study of gene-environment interplay.
Tina T Vo-Eckerle, Nathan A Gillespie, Kaare Christensen, Deborah Finkel, William S Kremen, Marianne Nygaard, Perminder S Sachdev, Anbupalam Thalamuthu, Chandra A Reynolds, IGEMS consortium
Abstract readTwin Study
In one paragraphArticle in Sleep, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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1 · What the graph read from itWhat it found
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2 · The registryThe trial behind it
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4 · The recordCorrections and comments
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5 · Who and what moneyAuthors and funding
10 authors.
Tina T Vo-EckerleDepartment of Psychology, University of California, Riverside, Riverside, CA, United States.
Nathan A GillespieDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States.ORCID 0000-0001-8655-2823 Kaare ChristensenThe Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-5429-5292 Deborah FinkelInstitute of Gerontology, School of Health and Welfare, Jönköping University, Jönköping, Sweden.
William S KremenDepartment of Psychiatry, University of ia, San Diego, La Jolla, CA, United States.
Marianne NygaardThe Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0003-0703-2665 Perminder S SachdevCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW, Sydney, Australia.ORCID 0000-0002-9595-3220 Anbupalam ThalamuthuCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW, Sydney, Australia.
Chandra A ReynoldsDepartment of Psychology, University of California, Riverside, Riverside, CA, United States.
IGEMS consortium
Funding
The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0MThe VETSA Longitudinal MRI Twin Study of AgingR01AG022381 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2003 to 2019
$22.3MTRAJECTORIES OF MORTALITY IN CAENORHABDITIS ELEGANSP01AG008761 · NIA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI VAUPEL, JAMES W. · 1990 to 2008
$17.5MThe VETSA Longitudinal Twin Study of Cognition and AgingR01AG018384 · NIA · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LYONS, MICHAEL J. · 2002 to 2012
$9.8MThe VETSA longitudinal twin study of cognition and agingR01AG018386 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2002 to 2012
$9.7MThe VETSA Longitudinal MRI Twin Study of Aging (VETSA MRI 4)R01AG076838 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE, Jeremy A Elman · 2022 to 2026
$8.7MSex differences in the relationship between APOE and AD: Role of sexual differentiationRF1AG058068 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GATZ, MARGARET, LADU, MARY JO · 2017 to 2017
$3.8MClarifying risk and protective factors for dementia with the Interplay of Genes and Environment in Multiple Studies (IGEMS) consortiumR01AG060470 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GATZ, MARGARET, PEDERSEN, NANCY L · 2018 to 2022
$3.6MDifferences in the association of education with ADRD across countries, historical eras, and men and women.R01AG081248 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DEBORAH G FINKEL, Brian K. Finch · 2024 to 2026
$3.6MGene-Environment Interplay of Social Contexts and Aging-Related OutcomesR01AG037985 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PEDERSEN, NANCY L · 2010 to 2014
$3.2MSES health gradients in late life: testing models of gene-environment interplay in an international twin consortiumR01AG059329 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FINCH, BRIAN K., GATZ, MARGARET · 2018 to 2022
$2.9MGENETIC &ENVIRONMENTAL INFLUENCES--BIOBEHAVIORAL AGINGR01AG010175 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PEDERSEN, NANCY L · 1992 to 2006
$2.8MNIA NIH HHS P01 AG008761NIA NIH HHS R01 AG010175NIA NIH HHS R01 AG018384NIA NIH HHS R01 AG018386NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG022982NIA NIH HHS R01 AG037985NIA NIH HHS R01 AG050595NIA NIH HHS R01 AG059329NIA NIH HHS R01 AG060470NIA NIH HHS R01 AG076838NIA NIH HHS R01 AG081248NIA NIH HHS R01 AG089666NIA NIH HHS R56 AG037985NIA NIH HHS RF1 AG058068
6 · The paper itselfAbstract
Genetic susceptibility to Alzheimer's disease (AD) may influence the extent to which environmental factors shape cognition, with individuals at higher genetic risk potentially exhibiting greater sensitivity to environmental exposures. Sleep, an important factor for both cognitive function and AD risk, may further moderate genetic influences (A), including both measured (AP) and latent (AL) components, as well as shared (C) and non-shared environmental (E) contributions to cognition. This study leveraged data from the Interplay of Genes and Environment across Multiple Studies consortium (N = 3894; 1947 complete twin pairs, 842 monozygotic (MZ) pairs and 1105 dizygotic (DZ); Average age = 62.36 years, 38.75% female). Across six cognitive abilities, we examined whether an AD polygenic score (AD-PGS) moderated environmental influences on cognitive performance. We also examined whether sleep moderated genetic and environmental contributions on cognitive performance. Although the AD-PGS accounted for a negligible proportion of genetic variance as a main effect (B's = -0.004 to 0.02), we observed environment-by-PGS interactions. Increasing genetic risk for AD was associated with lower contributions from environmental experiences unique to each individual, on episodic memory, working memory, and verbal ability (B's = -0.03 to -0.05). These interaction effects, albeit small, were primarily observed with the AD-PGS including the APOE region. Hence, the role of person-specific environments on cognitive functioning was boosted for those at lower genetic risk for AD but reduced at greater genetic risk for AD. Although sleep moderation was minimal, results suggest that poorer sleep influences genetic influences on cognitive functioning. Statement of Significance This study provides novel insights into how genetic risk for Alzheimer's disease (AD-PGS), and sleep (duration and disturbances) moderate genetic and environmental contributions to cognitive performance. Although the AD-PGS accounts for minimal genetic variance, significant but small environment-by-PGS interactions emerged. Individuals with higher AD-PGS exhibited heightened responsiveness to nonshared environmental influences on episodic memory, working memory, and verbal ability, primarily driven by the APOE ε4 region. Poorer sleep may be associated with subtle variations in genetic contributions to cognition, though moderation effects were minimal. This work offers insight into the genetic mechanisms underlying sleep, AD risk, and cognition, underscoring the need to consider both genetic susceptibility and environmental influences when examining factors that contribute to individual differences in cognition.
Indexed as
CognitionGene-Environment InteractionSleepAgedAlzheimer DiseaseCross-Sectional StudiesFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreHumansMaleSleep DurationTwins, DizygoticTwins, MonozygoticAlzheimer’s diseasecognitive performancegene–environment interplaypolygenic scoressleep
Identifiers
PMID42059651
PMCPMC13472895
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