Stratification by smoking status reveals an association of CHRNA5-A3-B4 genotype with body mass index in never smokers.


Autoria(s): Taylor A.E.; Morris R.W.; Fluharty M.E.; Bjorngaard J.H.; Åsvold B.O.; Gabrielsen M.E.; Campbell A.; Marioni R.; Kumari M.; Hällfors J.; Männistö S.; Marques-Vidal P.; Kaakinen M.; Cavadino A.; Postmus I.; Husemoen L.L.; Skaaby T.; Ahluwalia T.S.; Treur J.L.; Willemsen G.; Dale C.; Wannamethee S.G.; Lahti J.; Palotie A.; Räikkönen K.; Kisialiou A.; McConnachie A.; Padmanabhan S.; Wong A.; Dalgård C.; Paternoster L.; Ben-Shlomo Y.; Tyrrell J.; Horwood J.; Fergusson D.M.; Kennedy M.A.; Frayling T.; Nohr E.A.; Christiansen L.; Ohm Kyvik K.; Kuh D.; Watt G.; Eriksson J.; Whincup P.H.; Vink J.M.; Boomsma D.I.; Davey Smith G.; Lawlor D.; Linneberg A.; Ford I.; Jukema J.W.; Power C.; Hyppönen E.; Jarvelin M.R.; Preisig M.; Borodulin K.; Kaprio J.; Kivimaki M.; Smith B.H.; Hayward C.; Romundstad P.R.; Sørensen T.I.; Munafò M.R.; Sattar N.
Data(s)

2014

Resumo

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.

Identificador

https://serval.unil.ch/?id=serval:BIB_667DF213E3E1

isbn:1553-7404 (Electronic)

pmid:25474695

doi:10.1371/journal.pgen.1004799

isiid:000346649900013

http://my.unil.ch/serval/document/BIB_667DF213E3E1.pdf

http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_667DF213E3E16

Idioma(s)

en

Direitos

info:eu-repo/semantics/openAccess

Fonte

PLoS Genetics, vol. 10, no. 12, pp. e1004799

Tipo

info:eu-repo/semantics/article

article