| Objective: The diabetes is one of the most common metabolic syndrome,especially the type 2 diabetes.Type 2 diabetes accounts for about 90 to 95 percent of diabetics.It is associated with abnormal carbohydrate,lipid and portein metabolis.Patients with type 2 diabetes tend to be associated with obesity,hypertension and hyperlipidemia,leading to metabolic syndrome.China is a country with continuous social and economic development.In recent decades,people's living standards and lifestyles have undergone great changes,food,clothing,housing and transportation have been greatly improved,and the prevalence rate of type 2 diabetes has been increasing.The increase in the incidence of type 2 diabetes has led to greater research and investigation of the risk factors for T2 DM,providing a more comprehensive and bright visual flow and research path for more accurate and effective preventive interventions.Some animal studies have suggested that metabolic complications,dyslipidemia,glucose intolerance,hypolipidemia,and diabetes may be due to the deletion of the Per3 gene,suggesting that miscommunication between the circadian clock and metaolic pathways can lead to metabolic disorders.Here we explored the relationship of two SNPs(rs10746473 and rs2797685)in Per3 with the risk of type 2 diabetes in the northern people.Methods: This was a case-control study in which hospital patients with type 2 diabetes were selected as the case group,and people without a history of diabetes with the same demographic characteristics were selected as the control group.All statistical analysis were two-tailed and conducted with SPSS software(vision 23.0).A value of P<0.05 was defined as the criterion of statistical significance.Hardy-Weinberg equilibrium(HWE)was tested by a goodness-of-fit c2 test.Chi-square test was used to compare the distribution of genotypes between cases and controls.Univariate and multivariate logistic regression were used to calculate the odds ratio(odd ratios,OR)and its 95% confidence interval(confidence interval,CI)to adjust the influence of age and sex at the same time.Results: A total of 393 cases and 427 controls were included in this study.The results showed that the polymorphisms of rs10746473 and rs2797685 were associated with the risk of type 2 diabetes after adjusting for age and sex.In the codominant model of rs10746473 locus,the risk of developing type 2 diabetes was lower than that of AA genotypes,GA(OR=0.659,P=0.018;-corrected OR=0.658,P=0.017)and GG(OR=0.620,P=0.016;-corrected OR=0.617,P=0.015)genotypes.In the dominant model,compared with AA genotypes,GA+GG genotypes had a lower risk of developing type 2 diabetes(OR=0.645,P=0.008;).Compared with the A allele,the G allele had a lower risk of developing type 2 diabetes in the adjusted OR=0.643,P=0.008(OR=0.792,P=0.018;adjusted OR=0.790,P=0.017).In the codominant model of rs2797685 locus,the risk of type 2 diabetes was increased compared with CC genotypes,TC(OR=1.580,P=0.004;-corrected OR=1.583,P=0.004)and GG(OR=2.593,P <0.001;corrected OR=2.609,P <0.001).In the dominant model,compared with CC genotypes,TT+TC genotypes had an increased risk of type 2 diabetes(OR=1.846,P <0.001).After correction,OR=1.851,P <0.001),compared with TC+CC genotype,TT genotype had an increased risk of type 2 diabetes in recessive model(OR=1.999,P <0.001;corrected OR=2.008,P <0.001).Compared with C allele,T allele in allele model had an increased risk of developing type 2 diabetes(OR=1.669,P <0.001;corrected OR=1.672,P <0.001).Conclusion: Our study might indicate that rs10746473 and rs2797685 in Per3 may be a novel biomarker for the type 2 diabetes risk in the northerneast people of China.The genotypic risks of different models need to be compared.It is recommended to validate this conclusion in a larger and more representative population with a view to providing a new approach to the diagnosis and treatment of type 2 diabetes. |
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