ArticleBMC medical genetics2020
Association between gene polymorphisms of voltage-dependent Ca
Article in BMC medical genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Calcium supplementation for the prevention of hypertension: a synthesis of existing evidence and implications for practise.British journal of cardiac nursing · 2024Article
- Identification of Genetic Factors Underlying the Association between Sodium Intake Habits and Hypertension Risk.Nutrients · 2020Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAbnormal 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.
methodsA 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.
resultsThe 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.
conclusionsThis finding suggested that the significant association of these SNPs with hypertension may be noteworthy in future studies.
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