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Stratification by Smoking Status Reveals an Association of CHRNA5-A3-B4 Genotype with Body Mass Index in Never Smokers
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Stratification by smoking status reveals an association of CHRNA5-A3-B4 genotype with body mass index in never smokers.pdf | Published version | 200.29 kB | Adobe PDF | View/Open |
Title: | Stratification by Smoking Status Reveals an Association of CHRNA5-A3-B4 Genotype with Body Mass Index in Never Smokers |
Authors: | Taylor, AE Morris, RW Fluharty, ME Bjorngaard, JH Asvold, BO Gabrielsen, ME Campbell, A Marioni, R Kumari, M Hallfors, J Mannisto, S Marques-Vidal, P Kaakinen, M Cavadino, A Postmus, I Husemoen, LLN Skaaby, T Ahluwalia, TS Treur, JL Willemsen, G Dale, C Wannamethee, SG Lahti, J Palotie, A Raikkonen, K Kisialiou, A McConnachie, A Padmanabhan, S Wong, A Dalgard, C Paternoster, L Ben-Shlomo, Y Tyrrell, J Horwood, J Fergusson, DM Kennedy, MA Frayling, T Nohr, EA Christiansen, L Kyvik, KO Kuh, D Watt, G Eriksson, J Whincup, PH Vink, JM Boomsma, DI Smith, GD Lawlor, D Linneberg, A Ford, I Jukema, JW Power, C Hypponen, E Jarvelin, M-R Preisig, M Borodulin, K Kaprio, J Kivimaki, M Smith, BH Hayward, C Romundstad, PR Sorensen, TIA Munafo, MR Sattar, N |
Item Type: | Journal Article |
Abstract: | We previously used a single nucleotide polymorphism (SNP) in the CHRNA5-A3-B4 gene cluster associated with heaviness of smoking within smokers to confirm the causal effect of smoking in reducing body mass index (BMI) in a Mendelian randomisation analysis. While seeking to extend these findings in a larger sample we found that this SNP is associated with 0.74% lower body mass index (BMI) per minor allele in current smokers (95% CI -0.97 to -0.51, P = 2.00×10−10), but also unexpectedly found that it was associated with 0.35% higher BMI in never smokers (95% CI +0.18 to +0.52, P = 6.38×10−5). An interaction test confirmed that these estimates differed from each other (P = 4.95×10−13). This difference in effects suggests the variant influences BMI both via pathways unrelated to smoking, and via the weight-reducing effects of smoking. It would therefore be essentially undetectable in an unstratified genome-wide association study of BMI, given the opposite association with BMI in never and current smokers. This demonstrates that novel associations may be obscured by hidden population sub-structure. Stratification on well-characterized environmental factors known to impact on health outcomes may therefore reveal novel genetic associations. |
Issue Date: | 4-Dec-2014 |
Date of Acceptance: | 2-Oct-2014 |
URI: | http://hdl.handle.net/10044/1/48218 |
DOI: | https://dx.doi.org/10.1371/journal.pgen.1004799 |
ISSN: | 1553-7390 |
Publisher: | Public Library of Science |
Journal / Book Title: | PLOS Genetics |
Volume: | 10 |
Issue: | 12 |
Copyright Statement: | © 2014 Taylor et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
Keywords: | Science & Technology Life Sciences & Biomedicine Genetics & Heredity GENOME-WIDE ASSOCIATION MENDELIAN RANDOMIZATION NICOTINE DEPENDENCE GENE VARIANTS BEHAVIOR CLUSTER DISEASE LOCUS LEVEL Adolescent Adult Aged Aged, 80 and over Body Mass Index Genome-Wide Association Study Genotype Health Status Humans Middle Aged Multigene Family Nerve Tissue Proteins Polymorphism, Single Nucleotide Receptors, Nicotinic Severity of Illness Index Smoking Weight Loss Young Adult Developmental Biology 0604 Genetics |
Publication Status: | Published |
Article Number: | ARTN e1004799 |
Appears in Collections: | Department of Medicine (up to 2019) |