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Articles

Fibroblast growth factor 23 (FGF23) gene polymorphisms are associated with essential hypertension risk and blood pressure levels in Chinese Han population

, , , &
Pages 680-685 | Received 13 Sep 2017, Accepted 12 Dec 2017, Published online: 16 Jan 2018
 

ABSTRACT

In this case-control study, 246 EH patients and 157 healthy controls were selected from Chinese Han population to explore the associations between the fibroblast growth factor 23 (FGF23) gene polymorphisms and essential hypertension (EH).The SequenomMassarray system was used for the genotyping of three FGF23 gene Tag single-nucleotide polymorphisms, namely rs7955866, rs13312756, and rs3812822. The primers were designed by Assay Designer 3.1 software, and then the samples were added to a 384-well plate for the polymerase chain reaction amplification, shrimp alkaline phosphatase reaction, and desalting after extension. The distributions of the alleles, genotypes, and haplotypes were compared between the two groups. Confounding factors (sex, age, BMI, smoking, and drinking) were adjusted in the non-logistic regression, and the results showed that rs7955866 and rs3812822 polymorphisms were independently associated with the risk of developing EH (P < 0.05). The statistical analysis of the haplotype of rs7955866-rs13312756-rs3812822 showed that haplotype ACC could increase the risk of developing EH (P = 0.046; OR = 1.513, 95%CI: 1.005–2.278). The analysis of the control group showed that carrying rs7955866 A allele (P = 0.031) and rs3812822 C allele (P = 0.025) was associated with the increase of systolic blood pressure (SBP). The insulin (INS) level in the peripheral blood was significantly different between the case and control groups (P = 0.014). After confounding factors were excluded, the results showed that the serum INS level was also an independent risk factor of developing EH (P = 0.044; OR = 1.604, 95%CI: 1.014–2.539). In summary, our results suggest that FGF23 gene polymorphisms are associated with the risk of developing EH in Chinese Han population.

Acknowledgments

We would like to thank the Beijing Liuhe Genomics Institute for the help in gene sequencing with the SequenomMassarray system.

Conflict of Interest

The authors declare that they have no actual or potential conflicts of interest.

Additional information

Funding

The present study was supported by the National Natural Science Foundation of China (No. 81370367).

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