Imperial College London

ProfessorPaulElliott

Faculty of MedicineSchool of Public Health

Chair in Epidemiology and Public Health Medicine
 
 
 
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Contact

 

+44 (0)20 7594 3328p.elliott Website

 
 
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Assistant

 

Miss Jennifer Wells +44 (0)20 7594 3328

 
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Location

 

154Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Noordam:2019:10.1038/s41467-019-12958-0,
author = {Noordam, R and Evangelou, E and Elliott, P and Redline, S},
doi = {10.1038/s41467-019-12958-0},
journal = {Nature Genetics},
title = {Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration},
url = {http://dx.doi.org/10.1038/s41467-019-12958-0},
volume = {10},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Both short and long sleep are associated with an adverse lipid profile, likely through different biological pathways. To elucidate the biology of sleep-associated adverse lipid profile, we conduct multi-ancestry genome-wide sleep-SNP interaction analyses on three lipid traits (HDL-c, LDL-c and triglycerides). In the total study sample (discovery + replication) of 126,926 individuals from 5 different ancestry groups, when considering either long or short total sleep time interactions in joint analyses, we identify 49 previously unreported lipid loci, and 10 additional previously unreported lipid loci in a restricted sample of European-ancestry cohorts. In addition, we identify new gene-sleep interactions for known lipid loci such as LPL and PCSK9. The previously unreported lipid loci have a modest explained variance in lipid levels: most notable, gene-short-sleep interactions explain 4.25% of the variance in triglyceride level. Collectively, these findings contribute to our understanding of the biological mechanisms involved in sleep-associated adverse lipid profiles.
AU - Noordam,R
AU - Evangelou,E
AU - Elliott,P
AU - Redline,S
DO - 10.1038/s41467-019-12958-0
PY - 2019///
SN - 1061-4036
TI - Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration
T2 - Nature Genetics
UR - http://dx.doi.org/10.1038/s41467-019-12958-0
UR - http://hdl.handle.net/10044/1/74403
VL - 10
ER -