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Associations between polymorphisms of the CXCL12 and CNNM2 gene and hypertension risk: A case-control study. | LitMetric

Background: Hypertension is the most important risk factor for cardiovascular and cerebrovascular diseases. The study found that CXCL12 and CNNM2 gene affects the risk of coronary heart disease, but the relationship with hypertension is unclear. The aim of this research is to explore the association between CXCL12 and CNNM2 gene and hypertension in Chinese Han population.

Methods: Genotypes at 11 CHD-relevant SNPs were determined in 350 Hypertension patients and 483 controls in Chinese Han population using χ test, genetic model analysis and haplotype analysis.

Results: In the allele model, CXCL12 rs1065297 "G" allele, CXCL12 rs4948878 "G" allele and CXCL12 rs10793538 "T" allele were associated with decreased risk of hypertension (rs1065297: OR = 0.53, p = 0.005; rs4948878: OR = 0.51, p = 0.004; rs10793538: OR = 0.58, p = 0.005). CNNM2 rs12413409 "A" allele and CNNM2 rs11191514 "T" allele were also associated with reduced risk of hypertension (rs12413409: OR = 0.71, p = 0.003; rs11191514: OR = 0.70, p = 0.002). Further stratified analysis by sex and age found that CXCL12, CNNM2 gene also influence the risk of hypertension. Model analysis found that CXCL12 rs1093538 TA-TT genotype was associated with decreased risk of hypertension in the dominant model (OR = 0.57, p = 0.0015); Log-additive model revealed that rs1065297 and rs4948878 in CXCL12 gene have a potential association with essential hypertension (rs1065297: OR = 0.54, p = 0.005; rs4948878: OR = 0.52, p = 0.0038). For CNNM2 gene, rs12413409 GA-AA genotype and rs11191514 CT-TT genotype was associated with reduced risk of hypertension in the dominant model (rs12413409: OR = 0.64, p = 0.012; rs11191514: OR = 0.63, p = 0.0082). CXCL12 "GCGCCGT" and CNNM2 "ATAG" haplotype were associated with reduced risk of hypertension with 0.57-fold and 0.75-fold.

Conclusions: Our analysis suggests that CXCL12, CNNM2 gene influence the risk of hypertension in Chinese Han population.

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Source
http://dx.doi.org/10.1016/j.gene.2018.06.107DOI Listing

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