Association of single nucleotide polymorphisms in CACNA 1A/CACNA 1C/CACNA 1H calcium channel genes with diabetic peripheral neuropathy in Chinese population

Author:

Sun Lin1,Ma Jun2,Mao Qian1,Yang Yun-Long3,Ma Lin-Lin4,Niu Ling5,Liu Li-Feng6

Affiliation:

1. Department of Endocrinology, The Affiliated Hospital of Beihua University, Jilin 132011, P.R. China

2. Department of Radiology, The Affiliated Hospital of Beihua University, Jilin 132011, P.R. China

3. Department of Thoracic Surgery, The Affiliated Hospital of Beihua University, Jilin 132011, P.R. China

4. Department of Clinical Laboratory, The Affiliated Hospital of Beihua University, Jilin 132011, P.R. China

5. Department of Stomatology, The Affiliated Hospital of Beihua University, Jilin 132011, P.R. China

6. Department of Graduate, Beihua University, Jilin 132013, P.R. China

Abstract

The present study was conducted to explore the correlations between single nucleotide polymorphisms (SNPs) in the calcium channel CACNA 1A, CACNA 1C, and CACNA 1H genes and diabetic peripheral neuropathy (DPN) amongst the Chinese population. In total, 281 patients diagnosed with type 2 diabetes participated in the present study. These patients were divided into the case group, which was subdivided into the DPN (143 cases) and the non-DPN groups (138 cases). Subsequently, 180 healthy individuals that had undergone routine health examinations were also recruited and assigned to the control group. PCR-restriction fragment length polymorphism (PCR-RFLP) was used to detect the genotype and allele frequencies of CACNA 1A, CACNA 1C, and CACNA 1H genes; logistic regression analysis to investigate the association of gene polymorphisms with DNP. Gene–gene interactions were then detected by generalized multifactor dimensionality reduction (GMDR). The results revealed that CACNA 1A rs2248069 and rsl6030, CACNA 1C rs216008 and rs2239050, and CACNA 1H rs3794619, and rs7191246 SNPs were all associated with DPN, while rs2248069, rsl6030, rs2239050, and rs7191246 polymorphisms were attributed to the susceptibility to DPN. It was also observed that the optimal models were three-, four- and five-dimensional models with a prediction accuracy of 61.05% and the greatest consistency of cross-validation was 10/10. In summary, these findings demonstrated that the SNPs in the CACNA 1A, CACNA 1C, and CACNA 1H genes were involved in the pathophysiology of DPN. In addition, polymorphisms in the CACNA 1A, CACNA 1C, and CACNA 1H genes and their interactions also had effects on DPN.

Publisher

Portland Press Ltd.

Subject

Cell Biology,Molecular Biology,Biochemistry,Biophysics

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