| Literature DB >> 29049185 |
Ana Célia Sousa1, Roberto Palma Dos Reis, Andreia Pereira, Sofia Borges, Ana Isabel Freitas, Graça Guerra, Teresa Góis, Mariana Rodrigues, Eva Henriques, Sónia Freitas, Ilídio Ornelas, Décio Pereira, António Brehm, Maria Isabel Mendonça.
Abstract
Essential hypertension (EH) is a complex disease in which physiological, environmental, and genetic factors are involved in its genesis. The genetic variant of the alpha-adducin gene (ADD1) has been described as a risk factor for EH, but with controversial results.The objective of this study was to evaluate the association of ADD1 (Gly460Trp) gene polymorphism with the EH risk in a population from Madeira Island.A case-control study with 1614 individuals of Caucasian origin was performed, including 817 individuals with EH and 797 controls. Cases and controls were matched for sex and age, by frequency-matching method. All participants collected blood for biochemical and genotypic analysis for the Gly460Trp polymorphism. We further investigated which variables were independently associated to EH, and, consequently, analyzed their interactions.In our study, we found a significant association between the ADD1 gene polymorphism and EH (odds ratio 2.484, P = .01). This association remained statistically significant after the multivariate analysis (odds ratio 2.548, P = .02).The ADD1 Gly460Trp gene polymorphism is significantly and independently associated with EH risk in our population. The knowledge of genetic polymorphisms associated with EH is of paramount importance because it leads to a better understanding of the etiology and pathophysiology of this pathology.Entities:
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Year: 2017 PMID: 29049185 PMCID: PMC5662351 DOI: 10.1097/MD.0000000000007861
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.889
Baseline characteristics of study subjects.
Genotype distribution of ADD1 gene polymorphism among hypertensive subjects and controls and essential hypertension risk.
Logistic regression analysis with variables independently associated with essential hypertension.
Best models to analyze gene–environment interactions by multifactor dimensionality reduction.