4.6 Article

Genetic variations in SEC16B, MC4R, MAP2K5 and KCTD15 were associated with childhood obesity and interacted with dietary behaviors in Chinese school-age population

期刊

GENE
卷 560, 期 2, 页码 149-155

出版社

ELSEVIER
DOI: 10.1016/j.gene.2015.01.054

关键词

Obesity; Polymorphisms; Gene-dietary behavior interaction; Child

资金

  1. National Key Technology R&D Program of China [2012BAI02B03]
  2. National Natural Science Foundation of China [81172755]
  3. Zhejiang Provincial Program for the Cultivation of High-Level Innovative Health Talents
  4. Fundamental Research Funds for the Central Universities
  5. Program for Zhejiang Leading Team of Science and Technology Innovation [2010R50050]

向作者/读者索取更多资源

Both genetic predisposition and lifestyle factors are associated with the risk for obesity. Multiple obesity loci have been identified using genome-wide association studies mainly in European populations. The aims of this study were to examine the associations of these loci with obesity and gene x dietary behavior interactions among Chinese children and adolescents. Nineteen candidate SNPs were genotyped using Sequenom technology in the Chinese children (N = 2977, 853 obese and 2124 controls, aged 7-17). Dietary behaviors were assessed using self-administered questionnaires. After adjusting for age, sex and multiple testing, MC4R rs17782313, SEC1613 rs543874, MAP2K5 rs2241423 and KCTD15 rs11084753 were associated with obesity and obesity-related traits (all P < 0.005), with odd ratios ranging from 1.22 to 2.15. Dose-response association was significant between genetic risk score, which was calculated by summing the risk alleles, and the risk of obesity (P < 0.001). Multiplicative interaction was found between rs543874 and salt preference on obesity with an OR of 4.40 (95% CI, 1.12-17.30). Additive interactions with salt preference were found in rs17782313 and rs11084753. Our findings indicated that rs17782313, rs543874, rs2241423 and rs11084753 were associated with the risk for children obesity in China, and interaction of genetic variants with diet behaviors on obesity. (C) 2015 Elsevier B.V. All rights reserved.

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