Lack of Association Between Essential Hypertension and<i>GSTO1</i>Uncommon Genetic Variants in Italian Patients

Polimanti, Renato; Piacentini, Sara; Lazzarin, Natalia; Re, Maria Antonietta; Manfellotto, Dario; Fuciarelli, Maria

doi:10.1089/gtmb.2011.0310

Cited by 6 publications

(1 citation statement)

References 39 publications

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“…Many important genes associated with hypertension were reported [ 30 – 32 ], but most of them are based on a single-SNP model and the potential joint effects of multiloci models were less addressed. The single-SNP model of our current study, I/D ( ACE ), is significantly associated with hypertension using the chi-square test.…”

Section: Discussionmentioning

confidence: 99%

High Order Gene-Gene Interactions in Eight Single Nucleotide Polymorphisms of Renin-Angiotensin System Genes for Hypertension Association Study

Yang

Lin

et al. 2015

BioMed Research International

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Several single nucleotide polymorphisms (SNPs) of renin-angiotensin system (RAS) genes are associated with hypertension (HT) but most of them are focusing on single locus effects. Here, we introduce an unbalanced function based on multifactor dimensionality reduction (MDR) for multiloci genotypes to detect high order gene-gene (SNP-SNP) interaction in unbalanced cases and controls of HT data. Eight SNPs of three RAS genes (angiotensinogen, AGT; angiotensin-converting enzyme, ACE; angiotensin II type 1 receptor, AT 1 R) in HT and non-HT subjects were included that showed no significant genotype differences. In 2- to 6-locus models of the SNP-SNP interaction, the SNPs of AGT and ACE genes were associated with hypertension (bootstrapping odds ratio [Boot-OR] = 1.972~3.785; 95%, confidence interval (CI) 1.26~6.21; P < 0.005). In 7- and 8-locus model, SNP A1166C of AT 1 R gene is joined to improve the maximum Boot-OR values of 4.050 to 4.483; CI = 2.49 to 7.29; P < 1.63E − 08. In conclusion, the epistasis networks are identified by eight SNP-SNP interaction models. AGT, ACE, and AT 1 R genes have overall effects with susceptibility to hypertension, where the SNPs of ACE have a mainly hypertension-associated effect and show an interacting effect to SNPs of AGT and AT 1 R genes.

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Section: Discussionmentioning

confidence: 99%

High Order Gene-Gene Interactions in Eight Single Nucleotide Polymorphisms of Renin-Angiotensin System Genes for Hypertension Association Study

Yang

Lin

et al. 2015

BioMed Research International

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Particle swarm optimization algorithm for analyzing SNP–SNP interaction of renin-angiotensin system genes against hypertension

Chuang

Lin

et al. 2013

Mol Biol Rep

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Most non-significant individual single nucleotide polymorphisms (SNPs) were undiscovered in hypertension association studies. Their possible SNP-SNP interactions were usually ignored and leaded to missing heritability. In present study, we proposed a particle swarm optimization (PSO) algorithm to analyze the SNP-SNP interaction associated with hypertension. Genotype dataset of eight SNPs of renin-angiotensin system genes for 130 non-hypertension and 313 hypertension subjects were included. Without SNP-SNP interaction, most individual SNPs were non-significant difference between the hypertension and non-hypertension groups. For SNP-SNP interaction, PSO can select the SNP combinations involving different SNP numbers, namely the best SNP barcodes, to show the maximum frequency difference between non-hypertension and hypertension groups. After computation, the best PSO-generated SNP barcodes were dominant in non-hypertension in terms of the occurrences of frequency differences between non-hypertension and hypertension groups. The OR values of the best SNP barcodes involving 2-8 SNPs were 0.705-0.334, suggesting that these SNP barcodes were protective against hypertension. In conclusion, this study demonstrated that non-significant SNPs may generate the joint effect in association study. Our proposed PSO algorithm is effective to identify the best protective SNP barcodes against hypertension.

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AS3MT, GSTO, and PNP polymorphisms: Impact on arsenic methylation and implications for disease susceptibility

Antonelli¹,

Shao²,

Thomas³

et al. 2014

Environmental Research

108

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Lack of Association Between Essential Hypertension andGSTO1Uncommon Genetic Variants in Italian Patients

Cited by 6 publications

References 39 publications

High Order Gene-Gene Interactions in Eight Single Nucleotide Polymorphisms of Renin-Angiotensin System Genes for Hypertension Association Study

High Order Gene-Gene Interactions in Eight Single Nucleotide Polymorphisms of Renin-Angiotensin System Genes for Hypertension Association Study

Particle swarm optimization algorithm for analyzing SNP–SNP interaction of renin-angiotensin system genes against hypertension

AS3MT, GSTO, and PNP polymorphisms: Impact on arsenic methylation and implications for disease susceptibility

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