Title of article :
Association of GSTT1 and GSTM1 polymorphisms with blood pressure: A Bayesian modeling of continuous data
Author/Authors :
Rafee, Laleh Isfahan University of Medical Sciences, Isfahan , Abedini, Mahsa School of Statistics and Mathematics, University of Isfahan , Haghjooy Javanmard, Shaghayegh Isfahan University of Medical Sciences, Isfahan , Sarrafzadegan, Nizal Isfahan University of Medical Sciences, Isfahan , Mansourian, Marjan Department - Health School - Isfahan University of Medical Sciences, Isfahan
Pages :
5
From page :
200
To page :
204
Abstract :
Background: Systolic blood pressure (SBP) and diastolic blood pressure (DBP) are a multi-factorial traits and signifi cantly heritable. Glutathione S-transfe rase (GST) enzyme is involved in detoxifi cation of reactive oxygen species. Th e present study aimed at fi nding 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 Methods: we 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. Th e Bayesian Structured Regression model was used, adjusted for sex, age, body mass index (BMI), and smoking status. Results: Th e results showed that both the GSTT1and GSTM1genotypes deletion had a signifi cant eff ect on MAP increasing in our samples based on 95% Bayesian credible intervals. Conclusion: Th is study demonstrated that GSTT1 and GSTM1 gene increase the arterial pressure; hence, it can predict the susceptibility to cardiovascular disease.
Keywords :
Bayesian modeling , blood pressure , GSTM1 , GSTT1 , oxidative stress , polymorphism
Journal title :
Astroparticle Physics
Serial Year :
2014
Record number :
2432537
Link To Document :
بازگشت