The association of uncoupling proteins 2-866G/A(UCP2-866G/A) polymorphism with obesity
Zou Heng-yun
Abstract
Zou Heng-yun
Abstract
Objective To explore the association of uncoupling proteins 2-866G/A(UCP2-866G/A) polymorphism with obesity.Methods A community based epidemiology survey was carried out in 2 populations in Shanxi province and Beijing,including 3735 participants.Data on height,weight,waist,computed BMI,and other cardiovascular risk factors were collected with standard methods.Genotyping of UCP2-866G/A was performed by DNA MassARRAY and PCR-RFLP technology in the 2 populations respectively.There were 2817 participants in research sample which was eliminated the person with cancer,myocardial infarction,stroke anddiabetes mellitus.T test,χ2-test,GLM(generalized linear model) and Logistic regression model were used to analysis the association between genotype and allele frequencies in UCP2-866G/A and obesity.Results The genotype frequencies of UCP2-866G/A were AA 0.221 AG 0.496 and GG 0.284.The genotype frequencies was in Hardy-Weinberg equilibrium(P0.05).There was no statistical significance difference of genotype frequencies between the two areas(P=0.508).There was no statistical significance difference of genotype frequencies between male and female(P=0.032).The results of χ2-test showed that genotype frequencies was significantly different between obesity group and normal control group in male(χ2=8.046,P=0.018).But the difference of allele frequencies was not statistically significant(χ2=2.945,P=0.086).After adjusting area,age,physical activity,smoking,drinking and dyslipidemia by GLM there was statistically significant association between waist and genotype in male obesity group(P=0.007).The carriers with the GG genotype had higher waist.There was statistically significant association between BMI(P=0.017) waist(P=0.015)and genotype in male abdominal obesity group.The carriers with the GG genotype had higher BMI and waist.After adjusting area,age,physical activity,smoking,drinking and dyslipidemia by Logistic regression model there was statistically significant association between obesity prevalence and genotype in male(P=0.018).The carriers with GG genotype had higher obesity prevalence than the carriers with AA genotype in male,but the difference was not statistically significant(OR=1.36,95%CI:0.82-2.258,P=0.234).Conclusions These data indicated that the UCP2-866G/A polymorphism was possibly associated with obesity in Chinese male.
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Objective To explore the association of uncoupling proteins 2-866G/A(UCP2-866G/A) polymorphism with obesity.Methods A community based epidemiology survey was carried out in 2 populations in Shanxi province and Beijing,including 3735 participants.Data on height,weight,waist,computed BMI,and other cardiovascular risk factors were collected with standard methods.Genotyping of UCP2-866G/A was performed by DNA MassARRAY and PCR-RFLP technology in the 2 populations respectively.There were 2817 participants in research sample which was eliminated the person with cancer,myocardial infarction,stroke anddiabetes mellitus.T test,χ2-test,GLM(generalized linear model) and Logistic regression model were used to analysis the association between genotype and allele frequencies in UCP2-866G/A and obesity.Results The genotype frequencies of UCP2-866G/A were AA 0.221 AG 0.496 and GG 0.284.The genotype frequencies was in Hardy-Weinberg equilibrium(P0.05).There was no statistical significance difference of genotype frequencies between the two areas(P=0.508).There was no statistical significance difference of genotype frequencies between male and female(P=0.032).The results of χ2-test showed that genotype frequencies was significantly different between obesity group and normal control group in male(χ2=8.046,P=0.018).But the difference of allele frequencies was not statistically significant(χ2=2.945,P=0.086).After adjusting area,age,physical activity,smoking,drinking and dyslipidemia by GLM there was statistically significant association between waist and genotype in male obesity group(P=0.007).The carriers with the GG genotype had higher waist.There was statistically significant association between BMI(P=0.017) waist(P=0.015)and genotype in male abdominal obesity group.The carriers with the GG genotype had higher BMI and waist.After adjusting area,age,physical activity,smoking,drinking and dyslipidemia by Logistic regression model there was statistically significant association between obesity prevalence and genotype in male(P=0.018).The carriers with GG genotype had higher obesity prevalence than the carriers with AA genotype in male,but the difference was not statistically significant(OR=1.36,95%CI:0.82-2.258,P=0.234).Conclusions These data indicated that the UCP2-866G/A polymorphism was possibly associated with obesity in Chinese male.
Key concepts: Genotype, Obesity, Statistical significance, Logistic regression, Internal medicine, Genotyping, Waist, Genotype frequency