Evidence map›Paper›PMID 24949025›Full record

ArticleJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2014

Association of GSTT1 and GSTM1 polymorphisms with blood pressure: A Bayesian modeling of continuous data.

Laleh Rafee, Mahsa Abedini, Shaghayegh Haghjooy Javanmard, Nizal Sarrafzadegan, Marjan Mansourian

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Article in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Laleh RafeeApplied Physiology Research Centre, Isfahan University of Medical Sciences, Isfahan, Iran.
Mahsa AbediniSchool of Statistics and Mathematics, University of Isfahan, Isfahan, Iran.
Shaghayegh Haghjooy JavanmardApplied Physiology Research Centre, Isfahan University of Medical Sciences, Isfahan, Iran.
Nizal SarrafzadeganIsfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
Marjan MansourianBiostatistics and Epidemiology Department, Health School, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystolic blood pressure (SBP) and diastolic blood pressure (DBP) are a multi-factorial traits and significantly heritable. Glutathione S-transferase (GST) enzyme is involved in detoxification of reactive oxygen species. The present study aimed at finding out the association between GSTM1 and GSTT1 polymorphisms and mean arterial pressure (MAP) in Iranian population. MAP, as the important indicator of blood pressure, is calculated by weighted averaging of SBP and DBP. MATERIALS AND

methodswe randomly selected 72 healthy individuals from Isfahan Cohort Study (ICS). Polymerase chain reaction (PCR) was done to detect polymorphism of the GSTM1 and GSTT1 genes. The Bayesian Structured Regression model was used, adjusted for sex, age, body mass index (BMI), and smoking status.

resultsThe results showed that both the GSTT1and GSTM1genotypes deletion had a significant effect on MAP increasing in our samples based on 95% Bayesian credible intervals.

conclusionThis study demonstrated that GSTT1 and GSTM1 gene increase the arterial pressure; hence, it can predict the susceptibility to cardiovascular disease.

Indexed as

Bayesian modelingblood pressureGSTM1GSTT1oxidative stresspolymorphism

Identifiers

PMID24949025
PMCPMC4061639

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