skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

0014 Genome-wide Association Analysis Of Excessive Daytime Sleepiness In The Uk Biobank Identifies 42 Novel Loci

Sleep (New York, N.Y.), 2018-04, Vol.41 (suppl_1), p.A6-A6 [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/zsy061.013

Full text available

Citations Cited by
  • Title:
    0014 Genome-wide Association Analysis Of Excessive Daytime Sleepiness In The Uk Biobank Identifies 42 Novel Loci
  • Author: Wang, H ; Lane, J M ; Dashti, H S ; Jones, S ; Cade, B E ; Song, Y ; Patel, K ; Frayling, T M ; Weedon, M N ; Lawlor, D A ; Rutter, M K ; Redline, S ; Saxena, R
  • Subjects: Cardiovascular disease ; Genomes ; Sleep disorders
  • Is Part Of: Sleep (New York, N.Y.), 2018-04, Vol.41 (suppl_1), p.A6-A6
  • Description: Abstract Introduction Excessive daytime sleepiness (EDS) is a heritable trait affecting 10–20% of the population. EDS can occur as a consequence of insufficient sleep, poor sleep quality, or as a manifestation of a sleep disorder. EDS is associated with higher risk for motor accidents, and is linked to cognitive impairment. We aimed to explore individual vulnerability to EDS by identifying genetic variants and molecular pathways underlying EDS and define shared biological mechanisms and causal links with other diseases. Methods We performed a genome-wide association analysis of self-reported EDS using 452,071 individuals of European ancestry in the UK Biobank. Linear mixed regression model was applied adjusting for age, sex, population structure and technical covariates. Follow-up analyses of genes, tissue, pathway and ontology enrichment, partitioned heritability, and pair-wise genetic correlations to GWAS for 233 traits were performed. We tested if a genetic risk score (GRS) of previously reported genetic variants for specific sleep disorders associated with EDS. Secondary analyses adjusted for BMI and stratified by sex. Results We identified 42 significant novel loci (p<5x10-8) and 2 additional sex-specific loci associated with EDS, with enrichment of genes expressed in brain tissues and central nervous pathway. Genes previously reported associated with sleep and metabolic traits and novel genes were identified, including INADL, LMOD1, SNX17, CADM2, ECE2, GABRA2, SLC39A8, POM121L2, ASAP1, CACNA1C, KSR2, CPEB1, PRKCB, RAI1 and NKAIN2. Strong genetic correlations were observed between EDS and BMI, coronary artery disease and psychiatric diseases (P<10–4), suggesting shared underlying biological mechanisms. The GRS for restless leg syndrome and narcolepsy were significantly associated with EDS (P=2x10-4 and 1x10-2 respectively), indicating genetic overlap with EDS. Conclusion This largest GWAS for EDS identifies multiple novel genetic loci that can offer biological insights into pathways that contribute to EDS and consequential sleep disorders. Support (If Any) This work is supported by grants NIH R01 HL113338, NIH R35 HL135818, NIH F32DK102323, NIH 4T32HL007901, NIH R01DK107859, the Wellcome Investigator Award, and the University of Manchester Research Infrastructure Fund - MRC (MC_UU_12013/5)
  • Publisher: US: Oxford University Press
  • Language: English
  • Identifier: ISSN: 0161-8105
    EISSN: 1550-9109
    DOI: 10.1093/sleep/zsy061.013
  • Source: ProQuest One Psychology
    Alma/SFX Local Collection
    ProQuest Central
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait