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0016 Sleep Traits Accentuate the Association of Genetic Markers with Obesity: Results from the UK Biobank

Sleep (New York, N.Y.), 2018-04, Vol.41 (suppl_1), p.A7-A7 [Peer Reviewed Journal]

Sleep Research Society 2018. Published by Oxford University Press [on behalf of the Sleep Research Society]. All rights reserved. For permissions, please email: journals.permissions@oup.com 2018 ;Copyright © 2018 Sleep Research Society ;ISSN: 0161-8105 ;EISSN: 1550-9109 ;DOI: 10.1093/sleep/zsy061.015

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  • Title:
    0016 Sleep Traits Accentuate the Association of Genetic Markers with Obesity: Results from the UK Biobank
  • Author: Havens, C M ; Parthasarathy, S ; Grandner, M A ; Malone, S K ; Patterson, F ; Klimentidis, Y C
  • Subjects: Insomnia ; Obesity ; Sleep
  • Is Part Of: Sleep (New York, N.Y.), 2018-04, Vol.41 (suppl_1), p.A7-A7
  • Description: Abstract Introduction Public health and economic costs resulting from obesity are exorbitant. A sizable amount of variability in obesity is attributable to genetic factors. Thus, identifying pathways which modify genetic risk for obesity is of importance. Previous studies indicate that sleep patterns may modify genetic risk for obesity in individuals of European ancestry. We extend this finding to a much larger sample of Whites, and to South-Asians and Blacks in the UK Biobank. Methods The UK Biobank is a population-based sample of approximately 500,000 individuals. Data from 337,542 Whites, 6,921 South-Asians, and 6,982 Blacks were analyzed. Sleep traits considered included a binary variable for long sleep (≥ 9 hours) and short sleep (≤ 6 hours), evening and morning chronotype, insomnia, napping, and snoring. A weighted genetic risk score (wGRS), consisting of 96 single nucleotide polymorphisms (SNPs) previously associated with BMI was created. Mixed-effects models fit an interaction between the wGRS and sleep traits, regressed on inverse-normalized BMI. Covariates included age, sex, and social level deprivation. The interaction of each SNP with sleep traits was also tested. Analyses were separately conducted in Whites, South-Asians, and Blacks. Results Long sleep (p<.01), napping (p<.01), snoring (p<.0001), and insomnia (p<.0001) were associated with higher BMI in all groups. Short sleep (p<.0001) and evening chronotype (p<.05) were associated with higher BMI in Whites and South-Asians. Morning chronotype was associated with a slightly higher BMI only in Whites (p<.0001). In Whites, the wGRS interaction between long sleep (p<.0001), short sleep (p<.001), evening chronotype (p<.001), and napping (p<.05) were statistically significant. In South-Asians, the wGRS interaction with short sleep (p<.05) and insomnia (p<.05) were statistically significant. Following adjustment for multiple comparisons, one SNP in FTO, significantly interacted with long sleep in Whites (p=3.18 x 10–5). This interaction was replicated in South-Asians (p<.05), but not Blacks. Conclusion Sleep traits modified the association of genetic markers and obesity. Demographic differences were observed in the interaction between sleep traits and genetic markers of obesity. Further research could elucidate novel pathways regulating obesity. Support (If Any) n/a
  • Publisher: US: Oxford University Press
  • Language: English
  • Identifier: ISSN: 0161-8105
    EISSN: 1550-9109
    DOI: 10.1093/sleep/zsy061.015
  • Source: ProQuest One Psychology
    Alma/SFX Local Collection
    ProQuest Central
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