Multi-ancestry genome-wide gene–smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids
(2019) In Nature Genetics 51(4). p.636-648- Abstract
- The concentrations of high- and low-density-lipoprotein cholesterol and triglycerides are influenced by smoking, but it is unknown whether genetic associations with lipids may be modified by smoking. We conducted a multi-ancestry genome-wide gene–smoking interaction study in 133,805 individuals with follow-up in an additional 253,467 individuals. Combined meta-analyses identified 13 new loci associated with lipids, some of which were detected only because association differed by smoking status. Additionally, we demonstrate the importance of including diverse populations, particularly in studies of interactions with lifestyle factors, where genomic and lifestyle differences by ancestry may contribute to novel findings. © 2019, This is a... (More)
- The concentrations of high- and low-density-lipoprotein cholesterol and triglycerides are influenced by smoking, but it is unknown whether genetic associations with lipids may be modified by smoking. We conducted a multi-ancestry genome-wide gene–smoking interaction study in 133,805 individuals with follow-up in an additional 253,467 individuals. Combined meta-analyses identified 13 new loci associated with lipids, some of which were detected only because association differed by smoking status. Additionally, we demonstrate the importance of including diverse populations, particularly in studies of interactions with lifestyle factors, where genomic and lifestyle differences by ancestry may contribute to novel findings. © 2019, This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/d67f31c3-0f93-4bb0-9f4a-97453a80c48a
- author
- Bentley, Amy R. ; V. Varga, Tibor LU ; Renström, Frida LU ; Franks, Paul LU ; Rotimi, Charles and Cupples, L. Adrienne
- author collaboration
- organization
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Nature Genetics
- volume
- 51
- issue
- 4
- pages
- 13 pages
- publisher
- Nature Publishing Group
- external identifiers
-
- scopus:85063914316
- pmid:30926973
- ISSN
- 1546-1718
- DOI
- 10.1038/s41588-019-0378-y
- language
- English
- LU publication?
- yes
- additional info
- Export Date: 26 April 2019
- id
- d67f31c3-0f93-4bb0-9f4a-97453a80c48a
- date added to LUP
- 2019-04-26 12:40:42
- date last changed
- 2022-04-25 22:40:44
@article{d67f31c3-0f93-4bb0-9f4a-97453a80c48a,
abstract = {{The concentrations of high- and low-density-lipoprotein cholesterol and triglycerides are influenced by smoking, but it is unknown whether genetic associations with lipids may be modified by smoking. We conducted a multi-ancestry genome-wide gene–smoking interaction study in 133,805 individuals with follow-up in an additional 253,467 individuals. Combined meta-analyses identified 13 new loci associated with lipids, some of which were detected only because association differed by smoking status. Additionally, we demonstrate the importance of including diverse populations, particularly in studies of interactions with lifestyle factors, where genomic and lifestyle differences by ancestry may contribute to novel findings. © 2019, This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.}},
author = {{Bentley, Amy R. and V. Varga, Tibor and Renström, Frida and Franks, Paul and Rotimi, Charles and Cupples, L. Adrienne}},
issn = {{1546-1718}},
language = {{eng}},
number = {{4}},
pages = {{636--648}},
publisher = {{Nature Publishing Group}},
series = {{Nature Genetics}},
title = {{Multi-ancestry genome-wide gene–smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids}},
url = {{http://dx.doi.org/10.1038/s41588-019-0378-y}},
doi = {{10.1038/s41588-019-0378-y}},
volume = {{51}},
year = {{2019}},
}