Medical science monitor : international medical journal of experimental and clinical researchFeb 14, 2016

Gene Variations Linked to Type 2 Diabetes and Their Interactions with Other Genes and Environment in Uyghur People

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Updated Apr 5, 2026

Abstract

Significant differences in genotype distributions were found for four specific genetic variants associated with type 2 diabetes in a population of 879 Uyghur patients.

Genotype distributions of rs10811661, rs7195539, rs8050136, and rs9939609 showed significant differences between diabetic and non-diabetic individuals (all P<0.05).
After adjusting for covariates, rs7195539 remained significantly associated with type 2 diabetes, while rs10811661, rs8050136, and rs9939609 did not (P>0.05).
The interaction between the two genetic variants rs10811661 and rs7195539 exhibited a strong predictive accuracy for type 2 diabetes (P=0.014).
A three-locus model involving TG-HDL and family history of diabetes showed a high predictive accuracy for type 2 diabetes (P<0.001).
Potential interactions among specific genetic variants and environmental factors may play a role in the development of type 2 diabetes in this population.

Simplified

BACKGROUND We investigated the association between 8 single-nucleotide polymorphisms (SNPs) at 3 genetic loci (CDKAL1, CDKN2A/2B and FTO) with type 2 diabetes (T2D) in a Uyghur population. MATERIAL AND METHODS A case-control study of 879 Uyghur patients with T2D and 895 non-diabetic Uyghur controls was conducted at the Hospital of Xinjiang Medical University between 2010 and 2013. Eight SNPs in CDKAL1, CDKN2A/2B and FTO were analyzed using Sequenom MassARRAY®SNP genotyping. Factors associated with T2D were assessed by logistic regression analyses. Gene-gene and gene-environment interactions were analyzed by generalized multifactor dimensionality reduction. RESULTS Genotype distributions of rs10811661 (CDKN2A/2B), rs7195539, rs8050136, and rs9939609 (FTO) and allele frequencies of rs8050136 and rs9939609 differed significantly between diabetes and control groups (all P<0.05). While rs10811661, rs8050136, and rs9939609 were eliminated after adjusting for covariates (P>0.05), rs7195539 distribution differed significantly in co-dominant and dominant models (P<0.05). In gene-gene interaction analysis, after adjusting for covariates the two-locus rs10811661-rs7195539 interaction model had a cross-validation consistency of 10/10 and the highest balanced accuracy of 0.5483 (P=0.014). In gene-environment interaction analysis, the 3-locus interaction model TG-HDL-family history of diabetes had a cross-validation consistency of 10/10 and the highest balanced accuracy of 0.7072 (P<0.001). The 4-locus interaction model, rs7195539-TG-HDL-family history of diabetes had a cross-validation consistency of 8/10 (P<0.001). CONCLUSIONS Polymorphisms in CDKN2A/2B and FTO, but not CDKAL1, may be associated with T2D, and alleles rs8050136 and rs9939609 are likely risk alleles for T2D in this population. There were potential interactions among CDKN2A/2B (rs10811661) - FTO (rs7195539) or FTO (rs7195539)-TG-HDL-family history of diabetes in the pathogenesis of T2D in a Uyghur population.

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Gene Variations Linked to Type 2 Diabetes and Their Interactions with Other Genes and Environment in Uyghur People

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