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

Fan Yuan, Hui Li, Chao Song, Hongyun Fang, Rui Wang, Yan Zhang, Weiyan Gong and Ailing Liu
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Fan Yuan: National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
Hui Li: National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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

IJERPH, 2020, vol. 17, issue 7, 1-11

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.

Keywords: type 2 diabetes; insulin resistance; impaired insulin release; SNP; HOMA-IR; HOMA-? (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
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