A distinctive DNA methylation pattern in insufficient sleep View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Alexandra Lahtinen, Sampsa Puttonen, Päivi Vanttola, Katriina Viitasalo, Sonja Sulkava, Natalia Pervjakova, Anni Joensuu, Perttu Salo, Auli Toivola, Mikko Härmä, Lili Milani, Markus Perola, Tiina Paunio

ABSTRACT

Short sleep duration or insomnia may lead to an increased risk of various psychiatric and cardio-metabolic conditions. Since DNA methylation plays a critical role in the regulation of gene expression, studies of differentially methylated positions (DMPs) might be valuable for understanding the mechanisms underlying insomnia. We performed a cross-sectional genome-wide analysis of DNA methylation in relation to self-reported insufficient sleep in individuals from a community-based sample (79 men, aged 39.3 ± 7.3), and in relation to shift work disorder in an occupational cohort (26 men, aged 44.9 ± 9.0). The analysis of DNA methylation data revealed that genes corresponding to selected DMPs form a distinctive pathway: "Nervous System Development" (FDR P value < 0.05). We found that 78% of the DMPs were hypomethylated in cases in both cohorts, suggesting that insufficient sleep may be associated with loss of DNA methylation. A karyoplot revealed clusters of DMPs at various chromosomal regions, including 12 DMPs on chromosome 17, previously associated with Smith-Magenis syndrome, a rare condition comprising disturbed sleep and inverse circadian rhythm. Our findings give novel insights into the DNA methylation patterns associated with sleep loss, possibly modifying processes related to neuroplasticity and neurodegeneration. Future prospective studies are needed to confirm the observed associations. More... »

PAGES

1193

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-38009-0

DOI

http://dx.doi.org/10.1038/s41598-018-38009-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111916184

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30718923


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RDF/XML is a standard XML format for linked data.

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