Association of SNPs in the PPARγ gene and hypertension in a Mongolian population.
Genet Mol Res
; 14(4): 19295-308, 2015 Dec 29.
Article
in En
| MEDLINE
| ID: mdl-26782582
The association of single nucleotide polymorphisms (SNPs) in PPARγ with hypertension is controversial. The aim of the present study was to clarify the contributions of PPARγ genetic variants to hypertension through an association study. A total of 414 unrelated Mongolian herdsmen and 524 Han farmers were included in this study. Fourteen intronic SNPs were analyzed and genotyped using a polymerase chain reaction/ligase detection reaction assay. Prior to correction for multiple testing, the SNPs rs6802898 and rs12633551 were significantly associated with the prevalence of hypertension in the Han and Mongolian populations, respectively. The genetic association of each SNP with hypertension was individually tested using logistic regression. The SNP rs6802898 was associated with hypertension in both dominant (P = 0.033) and additive models (P = 0.026) in the Han population, whereas the SNP rs12633551 was associated with hypertension in both dominant (P = 0.014) and additive models (P = 0.0073) in the Mongolian population. Moreover, SNP rs12633551 had a significant effect on systolic and diastolic blood pressure response. However, none of these associations were statistically significant after Bonferroni correction for multiple testing, although there was a significant difference among the haplotypes in the Han and Mongolian populations. Interestingly, there was an association of the PPARγ haplotypes with hypertension even after Bonferroni correction. Thus, determination of the PPARγ haplotypes in different populations may prove informative for assessment of the genetic risk for hypertension.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Genetic Predisposition to Disease
/
Polymorphism, Single Nucleotide
/
PPAR gamma
/
Hypertension
/
Models, Genetic
Type of study:
Diagnostic_studies
/
Prevalence_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Adult
/
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Country/Region as subject:
Asia
Language:
En
Journal:
Genet Mol Res
Journal subject:
BIOLOGIA MOLECULAR
/
GENETICA
Year:
2015
Document type:
Article
Affiliation country:
China
Country of publication:
Brazil