Literature DB >> 20473689

Polymorphisms in the GNB3 and ADD1 genes and blood pressure in a Chinese population.

Shufeng Chen1, Hongwei Wang, Xiangfeng Lu, De-Pei Liu, Jing Chen, Cashell E Jaquish, Dabeeru C Rao, James E Hixson, Tanika N Kelly, Liping Hou, Laiyuan Wang, Jianfeng Huang, Chung-Shiuan Chen, Treva K Rice, Paul K Whelton, Jiang He, Dongfeng Gu.   

Abstract

A large proportion of the phenotypic variation in blood pressure (BP) appears to be inherited as a polygenic trait. This study examined the association between 12 single nucleotide polymorphisms (SNPs) in the guanine nucleotide binding protein beta polypeptide 3 (GNB3) and adducin 1 alpha (ADD1) genes and systolic (SBP), diastolic (DBP), and mean arterial (MAP) BP. A total of 3,142 individuals from 636 families were recruited from rural north China, and 2,746 met the eligibility criteria for analysis. BP measurements were obtained using a random-zero sphygmomanometer. Genetic variants were determined using SNPlex assays on an automated DNA Sequencer. A mixed linear model was used to estimate the association between each SNP and BP level. After Bonferroni correction, marker rs4963516 of the GNB3 gene remained significantly associated with DBP (corrected P values = 0.006, 0.007 and 0.002 for co-dominant, additive, and recessive models, respectively) and MAP (corrected P values = 0.02, 0.049, and 0.005, respectively). Compared to carriers of the major A allele, CC homozygotes had higher mean DBP (75.81 +/- 0.62 vs. 73.46 +/- 0.25 mmHg, P = 0.0002) and MAP (91.87 +/- 0.68 vs. 89.42 +/- 0.28 mmHg, P = 0.0004) after adjusting for covariates of age, gender, BMI, study site, and room temperature during BP measurement. In summary, these data support a role for the GNB3 gene in BP regulation in the Chinese population. Future studies aimed at replicating these novel findings are warranted.

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Year:  2010        PMID: 20473689      PMCID: PMC9003865          DOI: 10.1007/s00439-010-0834-3

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


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