Association between gene polymorphisms of voltage-dependent Ca2+ channels and hypertension in the Dai people of China: a case-control study

• Published in: BMC medical genetics Vol. 21; no. 1; pp. 1 - 44
• Main Authors: Huang, Lifan, Chu, Yan, Huang, Xiaoqin, Ma, Shaohui, Lin, Keqin, Huang, Kai, Sun, Hao, Yang, Zhaoqing
• Format: Journal Article
• Language: English
• Published: London BioMed Central Ltd 28-02-2020; BioMed Central; BMC
• Subjects: Age; Annealing; Blood pressure; Body mass index; Calcium channels; Calcium channels (voltage-gated); Chromosomes; Dai people; Deoxyribonucleic acid; DNA; Epidemiology; Future predictions; Genes; Genetic aspects; Genetic polymorphisms; Genetic research; Health aspects; Homeostasis; Hypertension; Minority & ethnic groups; Polymorphism; Regression analysis; Single nucleotide polymorphisms; Software; Voltage-dependent calcium channels; China; Beijing China
• ISSN: 1471-2350; 1471-2350
• DOI: 10.1186/s12881-020-0982-9

Abnormal calcium homeostasis related to the development of hypertension. As the key regulator of intracellular calcium concentration, voltage-dependent calcium channels (VDCCs), the variations in these genes may have important effects on the development of hypertension. Here we evaluate VDCCs variability with respect to hypertension in the Dai ethnic group of China. A total of 1034 samples from Dai individuals were collected, of which 495 were used as cases, and 539 were used as controls. Blood pressure was measured using a standard mercury measurement method, three times with a rest for 5 min, and the average was used for analyses. Seventeen single nucleotide polymorphisms (SNPs) in the four protein-coding genes (CACNA1A, CACNA1C, CACNA1S, CACNB2) of VDCCs were identified by multiplex PCR-SNP typing technique. Chi-square tests and regression models were used to analyse the associations of SNPs with hypertension. The results of chi-square tests showed that the allele frequencies of 5 SNPs were significantly different between the case and the control groups (P < 0.05), but the statistical significance was lost after Bonferroni's correction. However, after adjusting for BMI, age, sex and other factors by logistic regression analyses, the results showed that 5 SNPs consistent with chi-square tests (rs2365293, rs17539088, rs16917217, rs61839222 and rs10425859) were still statistically positive. This finding suggested that the significant association of these SNPs with hypertension may be noteworthy in future studies.