The Univariation and Multiple Linear Regression Analyses for Seventeen SNPs in Thirteen Cardiovascular Disease-Predisposing Genes and Blood Pressure in Chinese Han Males

Abstract

Blood pressure (BP) is a complex trait regulated by the interaction among multiple physiologic regulatory systems, likely involving numerous genes that lead to inconsistent findings in genetic studies. One possibility of failure to replicate some single-locus results is that the underlying genetics of hypertension is based on multiple genes with minor effects. To learn the association between 17 single nucleotide polymorphisms (SNPs) in 13 cardiovascular disease-predisposing genes and blood pressure of Han males, the 17 SNPs genotypes of 375 Han males were detected and analyzed with BaiO gene chip. The relationship between the SNPs and blood pressure was analyzed with variance analysis and multiple linear regression analysis. Variance analysis and/or multiple linear regression showed that: systolic blood pressure (SBP) was increasing with the elevation of year; AGT²³⁵M, ApoE^112,158E4, and SerpinA3^rs4934A were relative to the increase of SBP; AGT²³⁵M, ET-2⁹⁸⁵G, ApoC3³²⁰⁶T, and ApoE^112,158E4 may have had some relation with diastolic blood pressure (DBP) elevation; and ApoB^Xba + was associated with the increase of pulse pressure (PP). These findings support the multigenic nature of the etiology of essential hypertension and propose a potential gene–gene interactive model for future studies.

Keywords:

• polymorphism
• single nucleotide
• oligonucleotide array sequence analysis
• blood pressure