Literature DB >> 24497663

Sleep duration and depressive symptoms: a gene-environment interaction.

Nathaniel F Watson1, Kathryn Paige Harden2, Dedra Buchwald3, Michael V Vitiello4, Allan I Pack5, Eric Strachan6, Jack Goldberg7.   

Abstract

OBJECTIVE: We used quantitative genetic models to assess whether sleep duration modifies genetic and environmental influences on depressive symptoms.
METHOD: Participants were 1,788 adult twins from 894 same-sex twin pairs (192 male and 412 female monozygotic [MZ] pairs, and 81 male and 209 female dizygotic [DZ] pairs] from the University of Washington Twin Registry. Participants self-reported habitual sleep duration and depressive symptoms. Data were analyzed using quantitative genetic interaction models, which allowed the magnitude of additive genetic, shared environmental, and non-shared environmental influences on depressive symptoms to vary with sleep duration.
RESULTS: Within MZ twin pairs, the twin who reported longer sleep duration reported fewer depressive symptoms (ec = -0.17, SE = 0.06, P < 0.05). There was a significant gene × sleep duration interaction effect on depressive symptoms (a'c = 0.23, SE = 0.08, P < 0.05), with the interaction occurring on genetic influences that are common to both sleep duration and depressive symptoms. Among individuals with sleep duration within the normal range (7-8.9 h/night), the total heritability (h2) of depressive symptoms was approximately 27%. However, among individuals with sleep duration within the low (< 7 h/night) or high (≥ 9 h/night) range, increased genetic influence on depressive symptoms was observed, particularly at sleep duration extremes (5 h/night: h2 = 53%; 10 h/night: h2 = 49%).
CONCLUSION: Genetic contributions to depressive symptoms increase at both short and long sleep durations.

Entities:  

Keywords:  Depression; Dizygotic; Monozygotic; Sleep Duration; Symptoms; Twins

Mesh:

Year:  2014        PMID: 24497663      PMCID: PMC3900629          DOI: 10.5665/sleep.3412

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


  74 in total

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