| Literature DB >> 25784503 |
Kevin T Nead1, Aihua Li2, Mackenzie R Wehner3, Binod Neupane2, Stefan Gustafsson4, Adam Butterworth5, James C Engert6, A Darlene Davis7, Robert A Hegele8, Ruby Miller7, Marcel den Hoed9, Kay-Tee Khaw5, Tuomas O Kilpeläinen10, Nick Wareham11, Todd L Edwards12, Göran Hallmans13, Tibor V Varga14, Sharon L R Kardia15, Jennifer A Smith15, Wei Zhao15, Jessica D Faul16, David Weir16, Jie Mi17, Bo Xi18, Samuel Canizales Quinteros19, Cyrus Cooper20, Avan Aihie Sayer21, Karen Jameson21, Anders Grøntved22, Myriam Fornage23, Stephen Sidney24, Craig L Hanis25, Heather M Highland25, Hans-Ulrich Häring26, Martin Heni26, Jessica Lasky-Su27, Scott T Weiss27, Glenn S Gerhard28, Christopher Still29, Melkaey M Melka30, Zdenka Pausova30, Tomáš Paus31, Struan F A Grant32, Hakon Hakonarson32, R Arlen Price33, Kai Wang34, Andre Scherag35, Johannes Hebebrand36, Anke Hinney36, Paul W Franks37, Timothy M Frayling38, Mark I McCarthy39, Joel N Hirschhorn40, Ruth J Loos41, Erik Ingelsson4, Hertzel C Gerstein42, Salim Yusuf42, Joseph Beyene2, Sonia S Anand42, David Meyre43.
Abstract
Polymorphisms rs6232 and rs6234/rs6235 in PCSK1 have been associated with extreme obesity [e.g. body mass index (BMI) ≥ 40 kg/m(2)], but their contribution to common obesity (BMI ≥ 30 kg/m(2)) and BMI variation in a multi-ethnic context is unclear. To fill this gap, we collected phenotypic and genetic data in up to 331 175 individuals from diverse ethnic groups. This process involved a systematic review of the literature in PubMed, Web of Science, Embase and the NIH GWAS catalog complemented by data extraction from pre-existing GWAS or custom-arrays in consortia and single studies. We employed recently developed global meta-analytic random-effects methods to calculate summary odds ratios (OR) and 95% confidence intervals (CIs) or beta estimates and standard errors (SE) for the obesity status and BMI analyses, respectively. Significant associations were found with binary obesity status for rs6232 (OR = 1.15, 95% CI 1.06-1.24, P = 6.08 × 10(-6)) and rs6234/rs6235 (OR = 1.07, 95% CI 1.04-1.10, P = 3.00 × 10(-7)). Similarly, significant associations were found with continuous BMI for rs6232 (β = 0.03, 95% CI 0.00-0.07; P = 0.047) and rs6234/rs6235 (β = 0.02, 95% CI 0.00-0.03; P = 5.57 × 10(-4)). Ethnicity, age and study ascertainment significantly modulated the association of PCSK1 polymorphisms with obesity. In summary, we demonstrate evidence that common gene variation in PCSK1 contributes to BMI variation and susceptibility to common obesity in the largest known meta-analysis published to date in genetic epidemiology.Entities:
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Year: 2015 PMID: 25784503 PMCID: PMC4498155 DOI: 10.1093/hmg/ddv097
Source DB: PubMed Journal: Hum Mol Genet ISSN: 0964-6906 Impact factor: 6.150