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Association between Type 2 Diabetes Loci and Measures of Fatness
Authors:Slavica Pecioska  M Carola Zillikens  Peter Henneman  Pieter J Snijders  Ben A Oostra  Cornelia M van Duijn  Yurii S Aulchenko
Institution:1. Department of Epidemiology and Biostatistics and Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands.; 2. Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.; 3. Department of Human Genetics, Leiden University Medical Centre, Leiden, The Netherlands.; 4. Institute of Cytology and Genetics, SD RAS, Novosibirsk, Russia.;Peninsula Medical School, United Kingdom
Abstract:

Background

Type 2 diabetes (T2D) is a metabolic disorder characterized by disturbances of carbohydrate, fat and protein metabolism and insulin resistance. The majority of T2D patients are obese and obesity by itself may be a cause of insulin resistance. Our aim was to evaluate whether the recently identified T2D risk alleles are associated with human measures of fatness as characterized with Dual Energy X-ray Absorptiometry (DEXA).

Methodology/Principal Findings

Genotypes and phenotypes of approximately 3,000 participants from cross-sectional ERF study were analyzed. Nine single nucleotide polymorphisms (SNPs) in CDKN2AB, CDKAL1, FTO, HHEX, IGF2BP2, KCNJ11, PPARG, SLC30A8 and TCF7L2 were genotyped. We used linear regression to study association between individual SNPs and the combined allelic risk score with body mass index (BMI), fat mass index (FMI), fat percentage (FAT), waist circumference (WC) and waist to hip ratio (WHR). Significant association was observed between rs8050136 (FTO) and BMI (p = 0.003), FMI (p = 0.007) and WC (p = 0.03); fat percentage was borderline significant (p = 0.053). No other SNPs alone or combined in a risk score demonstrated significant association to the measures of fatness.

Conclusions/Significance

From the recently identified T2D risk variants only the risk variant of the FTO gene (rs8050136) showed statistically significant association with BMI, FMI, and WC.
Keywords:
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