Impact of gene-environment interaction between the C (-344) T polymorphism of CYP11B2 and drinking index on the risk of hypertension under multifactor dimensionality reduction model in Chinese Mongolian population
Abstract
OBJECTIVE: To explore the interaction between C (-344) T polymorphism of CYP11B2 and drinking index (DI) as well as their impact on the risk of hypertension in Chinese Mongolian population.
METHODS: A total of 1575 Mongolian people aged 20 and older including 562 hypertensive and 1013 normal-tensive from agricultural and pastoral areas in Tongliao city of Inner Mongolia, were included in this study. A cross-sectional survey was conducted to collect data by personal interview with local residents, using a standard questionnaire. Fasting blood samples were drawn and height, weight and blood pressure were measured. The variant genotypes of CYP11B2, ACE and eNOS were identified by PCR assays. Gene-environment interactions were analyzed, using multifactor dimensionality reduction (MDR) model. Based on the result of the best MDR model, a multiple logistic regression model was constructed as the final cause-effect interpretative model.
RESULTS: The interaction between CYP11B2 variant genotype and drinking index appeared the best MDR model with statistical significance (chi(2) = 66.35, P or = 168), the genotype (TT) combining the drinking index (> or = 40), the genotype (TT) combining the drinking index (> or = 1) and the genotype (TC) combining the drinking index (> or = 90), were all risk factors of hypertension when comparing with genotype (CC) combining the drinking index (0), and the ORs (95%CI) appeared to be 2.07 (1.15 - 3.70), 2.35 (1.22 - 4.56), 2.05 (1.07 - 3.94) and 5.56…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 1,575 participants or records.
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