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Uncoupling protein 2 gene polymorphisms are associated with obesity.
Cardiovasc Diabetol 2012; 11:41CD

Abstract

BACKGROUND

Uncoupling protein 2 (UCP2) gene polymorphisms have been reported as genetic risk factors for obesity and type 2 diabetes mellitus (T2DM). We examined the association of commonly observed UCP2 G(-866)A (rs659366) and Ala55Val (C > T) (rs660339) single nucleotide polymorphisms (SNPs) with obesity, high fasting plasma glucose, and serum lipids in a Balinese population.

METHODS

A total of 603 participants (278 urban and 325 rural subjects) were recruited from Bali Island, Indonesia. Fasting plasma glucose (FPG), triglyceride (TG), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C) and total cholesterol (TC) were measured. Obesity was determined based on WHO classifications for adult Asians. Participants were genotyped for G(-866)A and Ala55Val polymorphisms of the UCP2 gene.

RESULTS

Obesity prevalence was higher in urban subjects (51%) as compared to rural subjects (23%). The genotype, minor allele (MAF), and heterozygosity frequencies were similar between urban and rural subjects for both SNPs. All genotype frequencies were in Hardy-Weinberg equilibrium. A combined analysis of genotypes and environment revealed that the urban subjects carrying the A/A genotype of the G(-866)A SNP have higher BMI than the rural subjects with the same genotype. Since the two SNPs showed strong linkage disequilibrium (D' = 0.946, r2 = 0.657), a haplotype analysis was performed. We found that the AT haplotype was associated with high BMI only when the urban environment was taken into account.

CONCLUSIONS

We have demonstrated the importance of environmental settings in studying the influence of the common UCP2 gene polymorphisms in the development of obesity in a Balinese population.

Authors+Show Affiliations

Eijkman Institute for Molecular Biology, Jl, Diponegoro 69, Jakarta, Indonesia.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

22533685

Citation

Oktavianthi, Sukma, et al. "Uncoupling Protein 2 Gene Polymorphisms Are Associated With Obesity." Cardiovascular Diabetology, vol. 11, 2012, p. 41.
Oktavianthi S, Trimarsanto H, Febinia CA, et al. Uncoupling protein 2 gene polymorphisms are associated with obesity. Cardiovasc Diabetol. 2012;11:41.
Oktavianthi, S., Trimarsanto, H., Febinia, C. A., Suastika, K., Saraswati, M. R., Dwipayana, P., ... Malik, S. G. (2012). Uncoupling protein 2 gene polymorphisms are associated with obesity. Cardiovascular Diabetology, 11, p. 41. doi:10.1186/1475-2840-11-41.
Oktavianthi S, et al. Uncoupling Protein 2 Gene Polymorphisms Are Associated With Obesity. Cardiovasc Diabetol. 2012 Apr 25;11:41. PubMed PMID: 22533685.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Uncoupling protein 2 gene polymorphisms are associated with obesity. AU - Oktavianthi,Sukma, AU - Trimarsanto,Hidayat, AU - Febinia,Clarissa A, AU - Suastika,Ketut, AU - Saraswati,Made R, AU - Dwipayana,Pande, AU - Arindrarto,Wibowo, AU - Sudoyo,Herawati, AU - Malik,Safarina G, Y1 - 2012/04/25/ PY - 2011/12/19/received PY - 2012/04/25/accepted PY - 2012/4/27/entrez PY - 2012/4/27/pubmed PY - 2012/12/22/medline SP - 41 EP - 41 JF - Cardiovascular diabetology JO - Cardiovasc Diabetol VL - 11 N2 - BACKGROUND: Uncoupling protein 2 (UCP2) gene polymorphisms have been reported as genetic risk factors for obesity and type 2 diabetes mellitus (T2DM). We examined the association of commonly observed UCP2 G(-866)A (rs659366) and Ala55Val (C > T) (rs660339) single nucleotide polymorphisms (SNPs) with obesity, high fasting plasma glucose, and serum lipids in a Balinese population. METHODS: A total of 603 participants (278 urban and 325 rural subjects) were recruited from Bali Island, Indonesia. Fasting plasma glucose (FPG), triglyceride (TG), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C) and total cholesterol (TC) were measured. Obesity was determined based on WHO classifications for adult Asians. Participants were genotyped for G(-866)A and Ala55Val polymorphisms of the UCP2 gene. RESULTS: Obesity prevalence was higher in urban subjects (51%) as compared to rural subjects (23%). The genotype, minor allele (MAF), and heterozygosity frequencies were similar between urban and rural subjects for both SNPs. All genotype frequencies were in Hardy-Weinberg equilibrium. A combined analysis of genotypes and environment revealed that the urban subjects carrying the A/A genotype of the G(-866)A SNP have higher BMI than the rural subjects with the same genotype. Since the two SNPs showed strong linkage disequilibrium (D' = 0.946, r2 = 0.657), a haplotype analysis was performed. We found that the AT haplotype was associated with high BMI only when the urban environment was taken into account. CONCLUSIONS: We have demonstrated the importance of environmental settings in studying the influence of the common UCP2 gene polymorphisms in the development of obesity in a Balinese population. SN - 1475-2840 UR - https://www.unboundmedicine.com/medline/citation/22533685/Uncoupling_protein_2_gene_polymorphisms_are_associated_with_obesity_ L2 - https://cardiab.biomedcentral.com/articles/10.1186/1475-2840-11-41 DB - PRIME DP - Unbound Medicine ER -