Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2013 Feb;37(2):191-6.
doi: 10.1038/ijo.2012.34. Epub 2012 Mar 20.

Evaluation of common genetic variants identified by GWAS for early onset and morbid obesity in population-based samples

Affiliations
Meta-Analysis

Evaluation of common genetic variants identified by GWAS for early onset and morbid obesity in population-based samples

M den Hoed et al. Int J Obes (Lond). 2013 Feb.

Abstract

Background: Meta-analysis of case-control genome-wide association studies (GWAS) for early onset and morbid obesity identified four variants in/near the PRL, PTER, MAF and NPC1 genes.

Objective: We aimed to validate association of these variants with obesity-related traits in population-based samples.

Design: Genotypes and anthropometric traits were available in up to 31 083 adults from the Fenland, EPIC-Norfolk, Whitehall II, Ely and Hertfordshire studies and in 2042 children and adolescents from the European Youth Heart Study. In each study, we tested associations of rs4712652 (near-PRL), rs10508503 (near-PTER), rs1424233 (near-MAF) and rs1805081 (NPC1), or proxy variants (r (2)>0.8), with the odds of being overweight and obese, as well as with body mass index (BMI), percentage body fat (%BF) and waist circumference (WC). Associations were adjusted for sex, age and age(2) in adults and for sex, age, age group, country and maturity in children and adolescents. Summary statistics were combined using fixed effects meta-analysis methods.

Results: We had 80% power to detect odds ratios of 1.046 to 1.092 for overweight and 1.067 to 1.136 for obesity. Variants near PRL, PTER and MAF were not associated with the odds of being overweight or obese, or with BMI, %BF or WC after meta-analysis (P>0.15). The NPC1 variant rs1805081 showed some evidence of association with %BF (β=0.013 s.d./allele, P=0.040), but not with any of the remaining obesity-related traits (P>0.3).

Conclusion: Overall, these variants, which were identified in a GWAS for early onset and morbid obesity, do not seem to influence obesity-related traits in the general population.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Associations of variants near PRL (A), near PTER (B), near MAF (C) and in NPC1 (D) with the odds of being overweight and obese compared with non-overweight (control group), calculated using logistic regression in individual studies and after fixed effects meta-analysis of ORs and 95% CI. Associations were adjusted for age, age and sex in adults and for age, age-group, sex, country and maturity in children and adolescents. Odds ratios (OR) represent the change in outcome for each additional risk allele under an additive model, with risk alleles defined as the obesity-susceptibility increasing alleles in the discovery study.
Figure 2
Figure 2
Associations of variants near PRL (A), near PTER (B), near MAF (C) and in NPC1 (D) with BMI, percentage body fat (%BF) and waist circumference (WC), calculated using linear regression in individual studies and after fixed effects meta-analysis of betas and standard errors. Associations were adjusted for age, age and sex in adults and for age, age-group, sex, country and maturity in children and adolescents. Associations with WC were additionally adjusted for height. As all traits were inverse normally transformed, betas represent the change in outcome for each additional risk allele under an additive model, expressed in SD units/ allele. Risk alleles are defined as the obesity-susceptibility increasing alleles in the discovery study.

Similar articles

Cited by

References

    1. Heid IM, Jackson AU, Randall JC, Winkler TW, Qi L, Steinthorsdottir V, et al. Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nature genetics. 2010;42(11):949–60. - PMC - PubMed
    1. Speliotes EK, Willer CJ, Berndt SI, Monda KL, Thorleifsson G, Jackson AU, et al. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nature genetics. 2010;42(11):937–48. - PMC - PubMed
    1. Meyre D, Delplanque J, Chevre JC, Lecoeur C, Lobbens S, Gallina S, et al. Genome-wide association study for early-onset and morbid adult obesity identifies three new risk loci in European populations. Nature genetics. 2009;41(2):157–9. - PubMed
    1. Day N, Oakes S, Luben R, Khaw KT, Bingham S, Welch A, et al. EPIC-Norfolk: study design and characteristics of the cohort. European Prospective Investigation of Cancer. Br J Cancer. 1999;80(Suppl 1):95–103. - PubMed
    1. Dykes J, Brunner EJ, Martikainen PT, Wardle J. Socioeconomic gradient in body size and obesity among women: the role of dietary restraint, disinhibition and hunger in the Whitehall II study. Int J Obes Relat Metab Disord. 2004;28(2):262–8. - PubMed

Publication types

MeSH terms