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  4. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci
 
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Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci
File(s)
s41380-018-0313-0.pdf (1.31 MB)
Published version
Author(s)
Erzurumluoglu, A Mesut
Chambers, John C
Elliott, Paul
Evangelou, Evangelos
Kooner, Jaspal S
more
Type
Journal Article
Abstract
Smoking is a major heritable and modifiable risk factor for many diseases, including cancer, common respiratory disorders and cardiovascular diseases. Fourteen genetic loci have previously been associated with smoking behaviour-related traits. We tested up to 235,116 single nucleotide variants (SNVs) on the exome-array for association with smoking initiation, cigarettes per day, pack-years, and smoking cessation in a fixed effects meta-analysis of up to 61 studies (up to 346,813 participants). In a subset of 112,811 participants, a further one million SNVs were also genotyped and tested for association with the four smoking behaviour traits. SNV-trait associations with P < 5 × 10−8 in either analysis were taken forward for replication in up to 275,596 independent participants from UK Biobank. Lastly, a meta-analysis of the discovery and replication studies was performed. Sixteen SNVs were associated with at least one of the smoking behaviour traits (P < 5 × 10−8) in the discovery samples. Ten novel SNVs, including rs12616219 near TMEM182, were followed-up and five of them (rs462779 in REV3L, rs12780116 in CNNM2, rs1190736 in GPR101, rs11539157 in PJA1, and rs12616219 near TMEM182) replicated at a Bonferroni significance threshold (P < 4.5 × 10−3) with consistent direction of effect. A further 35 SNVs were associated with smoking behaviour traits in the discovery plus replication meta-analysis (up to 622,409 participants) including a rare SNV, rs150493199, in CCDC141 and two low-frequency SNVs in CEP350 and HDGFRP2. Functional follow-up implied that decreased expression of REV3L may lower the probability of smoking initiation. The novel loci will facilitate understanding the genetic aetiology of smoking behaviour and may lead to the identification of potential drug targets for smoking prevention and/or cessation.
Date Issued
2019-10-01
Date Acceptance
2018-11-14
Citation
Molecular Psychiatry, 2019, 25, pp.2392-2409
URI
http://hdl.handle.net/10044/1/66414
DOI
https://www.dx.doi.org/10.1038/s41380-018-0313-0
ISSN
1359-4184
Publisher
Springer Nature [academic journals on nature.com]
Start Page
2392
End Page
2409
Journal / Book Title
Molecular Psychiatry
Volume
25
Copyright Statement
© The Author(s) 2019. his article is licensed under a Creative CommonsAttribution 4.0 International License, which permits use, sharing,adaptation, distribution and reproduction in any medium or format, aslong as you give appropriate credit to the original author(s) and thesource, provide a link to the Creative Commons license, and indicate ifchanges were made. The images or other third party material in thisarticle are included in the article’s Creative Commons license, unlessindicated otherwise in a credit line to the material. If material is notincluded in the article’s Creative Commons license and your intendeduse is not permitted by statutory regulation or exceeds the permitteduse, you will need to obtain permission directly from the copyrightholder. To view a copy of this license, visithttp://creativecommons.org/licenses/by/4.0/.
Sponsor
Home Office
Imperial College Healthcare NHS Trust- BRC Funding
National Institute for Health Research
Medical Research Council (MRC)
Medical Research Council (MRC)
Medical Research Council (MRC)
UK DRI Ltd
National Institute for Health Research
National Institute for Health Research
Medical Research Council (MRC)
Grant Number
PG0484
RDF03
RTJ6219303-1
MR/L01341X/1
MR/L01632X/1
MR/L01632X/1
4050641385
NF-SI-0513-10059
NF-SI-0513-10059
MR/R023484/1
Subjects
Understanding Society Scientific Group, EPIC-CVD, GSCAN, Consortium for Genetics of Smoking Behaviour, CHD Exome+ consortium
06 Biological Sciences
11 Medical and Health Sciences
17 Psychology and Cognitive Sciences
Psychiatry
Publication Status
Published
Date Publish Online
2019-01-07
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