Literature DB >> 14970360

Three single-nucleotide polymorphisms of the angiotensinogen gene and susceptibility to hypertension: single locus genotype vs. haplotype analysis.

Shyh-Jong Wu1, Fu-Tien Chiang, Wei J Chen, Pi-Hua Liu, Kwan-Lih Hsu, Juey-Jen Hwang, Ling-Ping Lai, Jiunn-Lee Lin, Chuen-Den Tseng, Yung-Zu Tseng.   

Abstract

Although some single polymorphism analyses of the angiotensinogen (AGT) gene have been found to be associated with hypertension, the results are still inconsistent. The objectives of this study are to evaluate the association of the genotype and haplotype distributions of three single-nucleotide polymorphisms (SNPs) (G-217A, A-6G, and M235T) in the AGT gene with hypertension. In a sample of 461 hypertensive and 327 normotensive patients in Taiwan, we found that -217AA and -6GG homozygotes conferred independently an increased risk to hypertension (P = 0.008 and P = 0.037, respectively), as illustrated by their significant associations with hypertension in both single SNP and pair-wise SNPs analyses. Meanwhile, a very weak linkage disequilibrium was found between the G-217A and the A-6G polymorphisms in terms of r2 (<0.05). On the basis of likelihood ratio test, only the set of haplotypes that constituted the A-6G and the M235T polymorphisms was associated with hypertension (chi2 = 20.91, P = 0.0008), which was mainly due to the increased frequency of the recombinant haplotypes (-6A identical with 235M and -6G identical with 235T), and a pathophysiological role in the predisposition to hypertension was hence indicated. In functional assays, the promoter activities of the haplotypes -217A identical with -6A and -217G identical with -6G were significantly higher than the most common haplotype -217G identical with -6A. These results highlight the necessity of a thorough analysis of all reported variants of a candidate gene in the elucidation of genetic susceptibility to a complex disease like hypertension, even when the variants are in the same haplotype block.

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Year:  2004        PMID: 14970360     DOI: 10.1152/physiolgenomics.00133.2003

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  16 in total

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