Association of GSTT1 and GSTM1 polymorphisms with blood pressure: A Bayesian modeling of continuous data
Background: Systolic 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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2014-01-01
|
| Series: | Journal of Research in Medical Sciences |
| Subjects: | |
| Online Access: | http://www.jmsjournal.net/article.asp?issn=1735-1995;year=2014;volume=19;issue=3;spage=200;epage=204;aulast=Rafee |
| _version_ | 1831749965226967040 |
|---|---|
| author | Laleh Rafee Mahsa Abedini Shaghayegh Haghjooy Javanmard Nizal Sarrafzadegan Marjan Mansourian |
| author_facet | Laleh Rafee Mahsa Abedini Shaghayegh Haghjooy Javanmard Nizal Sarrafzadegan Marjan Mansourian |
| author_sort | Laleh Rafee |
| collection | DOAJ |
| description | Background: Systolic 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 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. The Bayesian Structured Regression model was used, adjusted for sex, age, body mass index (BMI), and smoking status. Results: The results showed that both the GSTT1and GSTM1genotypes deletion had a significant effect on MAP increasing in our samples based on 95% Bayesian credible intervals. Conclusion: This study demonstrated that GSTT1 and GSTM1 gene increase the arterial pressure; hence, it can predict the susceptibility to cardiovascular disease. |
| first_indexed | 2024-12-21T22:19:28Z |
| format | Article |
| id | doaj.art-62b9705281cb480da2eb18478ca163a3 |
| institution | Directory Open Access Journal |
| issn | 1735-1995 1735-7136 |
| language | English |
| last_indexed | 2024-12-21T22:19:28Z |
| publishDate | 2014-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Research in Medical Sciences |
| spelling | doaj.art-62b9705281cb480da2eb18478ca163a32022-12-21T18:48:22ZengWolters Kluwer Medknow PublicationsJournal of Research in Medical Sciences1735-19951735-71362014-01-01193200204Association of GSTT1 and GSTM1 polymorphisms with blood pressure: A Bayesian modeling of continuous dataLaleh RafeeMahsa AbediniShaghayegh Haghjooy JavanmardNizal SarrafzadeganMarjan MansourianBackground: Systolic 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 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. The Bayesian Structured Regression model was used, adjusted for sex, age, body mass index (BMI), and smoking status. Results: The results showed that both the GSTT1and GSTM1genotypes deletion had a significant effect on MAP increasing in our samples based on 95% Bayesian credible intervals. Conclusion: This study demonstrated that GSTT1 and GSTM1 gene increase the arterial pressure; hence, it can predict the susceptibility to cardiovascular disease.http://www.jmsjournal.net/article.asp?issn=1735-1995;year=2014;volume=19;issue=3;spage=200;epage=204;aulast=RafeeBayesian modelingblood pressureGSTM1GSTT1oxidative stresspolymorphism |
| spellingShingle | Laleh Rafee Mahsa Abedini Shaghayegh Haghjooy Javanmard Nizal Sarrafzadegan Marjan Mansourian Association of GSTT1 and GSTM1 polymorphisms with blood pressure: A Bayesian modeling of continuous data Journal of Research in Medical Sciences Bayesian modeling blood pressure GSTM1 GSTT1 oxidative stress polymorphism |
| title | Association of GSTT1 and GSTM1 polymorphisms with blood pressure: A Bayesian modeling of continuous data |
| title_full | Association of GSTT1 and GSTM1 polymorphisms with blood pressure: A Bayesian modeling of continuous data |
| title_fullStr | Association of GSTT1 and GSTM1 polymorphisms with blood pressure: A Bayesian modeling of continuous data |
| title_full_unstemmed | Association of GSTT1 and GSTM1 polymorphisms with blood pressure: A Bayesian modeling of continuous data |
| title_short | Association of GSTT1 and GSTM1 polymorphisms with blood pressure: A Bayesian modeling of continuous data |
| title_sort | association of gstt1 and gstm1 polymorphisms with blood pressure a bayesian modeling of continuous data |
| topic | Bayesian modeling blood pressure GSTM1 GSTT1 oxidative stress polymorphism |
| url | http://www.jmsjournal.net/article.asp?issn=1735-1995;year=2014;volume=19;issue=3;spage=200;epage=204;aulast=Rafee |
| work_keys_str_mv | AT lalehrafee associationofgstt1andgstm1polymorphismswithbloodpressureabayesianmodelingofcontinuousdata AT mahsaabedini associationofgstt1andgstm1polymorphismswithbloodpressureabayesianmodelingofcontinuousdata AT shaghayeghhaghjooyjavanmard associationofgstt1andgstm1polymorphismswithbloodpressureabayesianmodelingofcontinuousdata AT nizalsarrafzadegan associationofgstt1andgstm1polymorphismswithbloodpressureabayesianmodelingofcontinuousdata AT marjanmansourian associationofgstt1andgstm1polymorphismswithbloodpressureabayesianmodelingofcontinuousdata |