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A Replication Study Identified Seven SNPs Associated with Quantitative Traits of Type 2 Diabetes among Chinese Population in A Cross-Sectional Study

Author

Listed:
  • Fan Yuan

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
    Joint first authors, contributed equally.)

  • Hui Li

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
    Joint first authors, contributed equally.)

  • Chao Song

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Hongyun Fang

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Rui Wang

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Yan Zhang

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Weiyan Gong

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

  • Ailing Liu

    (National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China)

Abstract

Genome-wide association studies (GWAS) have identified common variants for quantitative traits (insulin resistance and impaired insulin release) of type 2 diabetes (T2D) across different ethnics including China, but results were inconsistent. The study included 1654 subjects who were selected from the 2010–2012 China National Nutrition and Health Surveillance (CNNHS). Insulin resistance and impaired insulin release were assessed by homeostasis model assessment (HOMA). The study included 64 diabetes-related single nucleotide polymorphisms (SNPs), which were done using Mass ARRAY. A logistic regression model was employed to explore the associations of SNPs with insulin resistance and impaired insulin release by correcting for the confounders. The 5q11.2-rs4432842, RASGRP1-rs7403531, and SEC16B-rs574367 increased the risk of insulin resistance with OR = 1.23 (95% CI: 1.04–1.45, OR = 1.35 (95% CI: 1.13–1.62), OR = 1.34 (95% CI: 1.07–1.67), respectively, while MAEA-rs6815464 decreased the risk of insulin resistance (OR = 0.84, 95% CI: 0.71–1.00). CENTD2-rs1552224, TSPAN8-rs7961581 and ANK1-rs516946 was associated with increased risk of impaired insulin release with OR = 1.47 (95% CI: 1.09–1.99), OR = 1.25 (95% CI: 1.03–1.51), OR = 1.39 (95% CI: 1.07–1.81), respectively. Our findings would provide insight into the pathogenesis of individual SNPs and T2D.

Suggested Citation

  • Fan Yuan & Hui Li & Chao Song & Hongyun Fang & Rui Wang & Yan Zhang & Weiyan Gong & Ailing Liu, 2020. "A Replication Study Identified Seven SNPs Associated with Quantitative Traits of Type 2 Diabetes among Chinese Population in A Cross-Sectional Study," IJERPH, MDPI, vol. 17(7), pages 1-11, April.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:7:p:2439-:d:341064
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    References listed on IDEAS

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    1. Chi Zhang, 2017. "Population in China," Europe-Asia Studies, Taylor & Francis Journals, vol. 69(8), pages 1333-1334, September.
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