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A Replication Study Identified Seven SNPs Associated with Quantitative Traits of Type 2 Diabetes Among Chinese Population (P18-079-19).

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Objectives To explore genetic variants for quantitative traits of type 2 diabetes (T2D) such as insulin resistance and insulin release among Chinese adults. Methods A total of 2216 subjects were… Click to show full abstract

Objectives To explore genetic variants for quantitative traits of type 2 diabetes (T2D) such as insulin resistance and insulin release among Chinese adults. Methods A total of 2216 subjects were selected from cross-sectional 2010-2012 China National Nutrition and Health Surveillance. Fasting plasma glucose(FPG) and fasting serum insulin(FSIN) were tested and 81 T2D single nucleotide polymorphisms (SNPs) were genotyped. Insulin resistance was defined by exceeding top quartile of insulin resistance of homeostasis model assessment(HOMA-IR) index value and insulin release was defined under lower quartile of insulin release of homeostasis model assessment(HOMA-B) index value in nondiabetic individuals, respectively. Logisticregression model was utilized to explore association between each SNP and quantitative traits. Results The risk C allele of GRK5 rs10886471, the risk C allele of IGF2BP2 rs1470579 and the risk A allele of GCK rs4607517 was associated with increased HOMA-IR(P = 0.043, P = 0.014, P = 0.050), and the risk T allele of SEC16B rs574367 was associated with decreased HOMA-IR(P = 0.028). The risk A allele of SCAP rs4858889 associated with decreased HOMA-B(P = 0.004), while FTO rs1558902 and MAEA rs6815464 both had inverse effect on HOMA-B(P = 0.018, P = 0.048). Conclusions The rs10886471, rs1470579 and rs4607517 might be risk loci for T2D by mediating insulin receptors or insulin signal transduction to reduce insulin sensitivity. Individuals carrying the risk A allele of rs4858889 predisposed to T2D may by decreasing insulin secretion. Our findings will provide clue for casual relationship between SNPs and T2D-related traits. Funding Sources The Ministry of Healthand the Ministry of Science and Technology in China(2001-DEA30035, 2003-DIA6N008).

Keywords: quantitative traits; insulin; type diabetes; traits type; risk allele

Journal Title: Current developments in nutrition
Year Published: 2019

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