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A population association study of PPAR δ gene rs2016520 and rs9794 polymorphisms and haplotypes with body mass index and waist circumference in a Chinese population.
- Source :
-
Annals of human biology [Ann Hum Biol] 2016; Vol. 43 (1), pp. 67-72. Date of Electronic Publication: 2015 Jun 15. - Publication Year :
- 2016
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Abstract
- Background: Peroxisome proliferator-activated receptor (PPAR) gene plays an important role in obesity and PPAR δ protein is a potent inhibitor; however, few previous studies have focused on this gene.<br />Aim: To investigate the association of haplotypes of PPAR δ gene rs2016520 and rs9794 with abnormal weight (BMI ≥ 24 kg/m(2)) and abdominal obesity (WC ≥ 90 cm for males and ≥ 80 cm for females) in a Chinese Han population.<br />Subjects and Methods: In total, 820 subjects (270 men, 550 women) were randomly selected from the PMMJS cohort population and no individuals were related. rs2016520 and rs9794 were detected by TaqMan fluorescence probe. Hardy-Weinberg equilibrium (HWE) was used to detect genotype typing errors by Fisher's exact test. Linkage disequilibrium (LD) between polymorphisms was estimated by using SHEsis. Two PPAR δ SNPs (rs2016520 and rs9794) were analysed by using the logistic regression model.<br />Results: After adjustment for covariates, the haplotype containing the rs1026520-C and rs9794-C alleles was associated with a statistically significant decreased risk of obesity (OR = 0.64; 95% CI = 0.48-0.84, p = 0.0015). Coincidentally, the haplotype containing the rs1026520-C and rs9794-C alleles was also associated with a statistically decreased risk of abdominal obesity after covariate adjustment (OR = 0.59, 95% CI = 0.45-0.77, p < 0.001).<br />Conclusion: C-C haplotype, constructed from rs2016520 and rs9794 alleles, showed a significant protective effect for both abnormal weight and abdominal obesity.
- Subjects :
- Anthropometry
Body Mass Index
Body Weight
China ethnology
Female
Follow-Up Studies
Genotype
Haplotypes
Humans
Male
Prospective Studies
Regression Analysis
Sequence Analysis, DNA
Waist Circumference
Genetics, Population
Obesity, Abdominal genetics
PPAR delta genetics
Polymorphism, Single Nucleotide
Subjects
Details
- Language :
- English
- ISSN :
- 1464-5033
- Volume :
- 43
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Annals of human biology
- Publication Type :
- Academic Journal
- Accession number :
- 26073637
- Full Text :
- https://doi.org/10.3109/03014460.2015.1023847