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Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions

Overview
Journal Am J Epidemiol
Specialty Public Health
Date 2019 Jan 31
PMID 30698716
Citations 58
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Abstract

A person's lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-alcohol interactions into a multiancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in stage 1 (genome-wide discovery) and 66 studies in stage 2 (focused follow-up), for a total of 394,584 individuals from 5 ancestry groups. Analyses covered the period July 2014-November 2017. Genetic main effects and interaction effects were jointly assessed by means of a 2-degrees-of-freedom (df) test, and a 1-df test was used to assess the interaction effects alone. Variants at 495 loci were at least suggestively associated (P < 1 × 10-6) with lipid levels in stage 1 and were evaluated in stage 2, followed by combined analyses of stage 1 and stage 2. In the combined analysis of stages 1 and 2, a total of 147 independent loci were associated with lipid levels at P < 5 × 10-8 using 2-df tests, of which 18 were novel. No genome-wide-significant associations were found testing the interaction effect alone. The novel loci included several genes (proprotein convertase subtilisin/kexin type 5 (PCSK5), vascular endothelial growth factor B (VEGFB), and apolipoprotein B mRNA editing enzyme, catalytic polypeptide 1 (APOBEC1) complementation factor (A1CF)) that have a putative role in lipid metabolism on the basis of existing evidence from cellular and experimental models.

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References
1.
Psaty B, ODonnell C, Gudnason V, Lunetta K, Folsom A, Rotter J . Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts. Circ Cardiovasc Genet. 2009; 2(1):73-80. PMC: 2875693. DOI: 10.1161/CIRCGENETICS.108.829747. View

2.
Winkler T, Justice A, Graff M, Barata L, Feitosa M, Chu S . The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study. PLoS Genet. 2015; 11(10):e1005378. PMC: 4591371. DOI: 10.1371/journal.pgen.1005378. View

3.
Spracklen C, Chen P, Kim Y, Wang X, Cai H, Li S . Association analyses of East Asian individuals and trans-ancestry analyses with European individuals reveal new loci associated with cholesterol and triglyceride levels. Hum Mol Genet. 2017; 26(9):1770-1784. PMC: 6075203. DOI: 10.1093/hmg/ddx062. View

4.
Brien S, Ronksley P, Turner B, Mukamal K, Ghali W . Effect of alcohol consumption on biological markers associated with risk of coronary heart disease: systematic review and meta-analysis of interventional studies. BMJ. 2011; 342:d636. PMC: 3043110. DOI: 10.1136/bmj.d636. View

5.
Pers T, Karjalainen J, Chan Y, Westra H, Wood A, Yang J . Biological interpretation of genome-wide association studies using predicted gene functions. Nat Commun. 2015; 6:5890. PMC: 4420238. DOI: 10.1038/ncomms6890. View