Title:Association between Single-nucleotide Polymorphisms of RXRG and Genetic Susceptibility to Type 2 Diabetes in South China
VOLUME: 20 ISSUE: 6
Author(s):Haibing Yu, Shu Wang, Wei Hu, Lin Xu, Yuanlin Ding, Danli Kong and Haiyan Pan*
Affiliation:Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan
Keywords:Type 2 diabetes (T2D), Single nucleotide polymorphisms (SNP), Retinoid X receptor gamma (RXRG),
Chinese Han population.
Abstract:
Objective: To investigate the relationship between genetic polymorphisms of
RXRG rs1467664, rs3753898 and the genetic susceptibility of type 2 diabetes in the
Chinese Han population from South China.
Methods: In our case-control study, single-nucleotide polymorphisms (SNPs) rs1467664
and rs3753898 were genotyped by SNPscanTM kit in 1092 patients with T2D as cases and
1092 normal persons as controls. The distributions of genotype and allele frequencies in
two groups were analyzed by the SPSS 20.0 software.
Results: The distribution of genotypes and alleles of RXRG rs3753898 was statistically
significant between the two groups, but there was no significant difference in the
distribution of genotypes and alleles of the rs1467664. Before and after the adjustment of
age, sex and BMI, rs3753898 in the two groups had statistical significance under the
additive, dominant and recessive models (P<0.05), but no statistical differences were
found under the overdominance and co-dominant genetic models (P>0.05). There was no
significant difference in the genetic models of rs1467664 between the two groups
(P>0.05). The haplotype, which consists of rs1467664 allele T and rs3753898 allele A was
a high-risk factor for T2D, OR=1.27, 95% CI (1.09-1.47), Padj=0.002.
Conclusion: Our results showed that the single nucleotide polymorphism of RXRG
rs3753898 may be related to genetic susceptibility of type 2 diabetes. The haplotype
consisting of the allele T of rs1467664 and the allele A of rs3753898 is a risk factor for type
2 diabetes, suggesting that the genetic variation of RXRG gene may be the genetic cause
of diabetes mellitus in the Chinese Han population.
