Evidence map›Paper›PMID 22533685›Full record

ArticleCardiovascular diabetology2012

Uncoupling protein 2 gene polymorphisms are associated with obesity.

Sukma Oktavianthi, Hidayat Trimarsanto, Clarissa A Febinia, Ketut Suastika, Made R Saraswati, Pande Dwipayana, Wibowo Arindrarto, Herawati Sudoyo, Safarina G Malik

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 59 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Sukma OktavianthiEijkman Institute for Molecular Biology, Jl, Diponegoro 69, Jakarta, Indonesia.
Hidayat Trimarsanto
Clarissa A Febinia
Ketut Suastika
Made R Saraswati
Pande Dwipayana
Wibowo Arindrarto
Herawati Sudoyo
Safarina G Malik
Eijkman Institute for Molecular Biology · IDUdayana University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUncoupling 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.

methodsA 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.

resultsObesity 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.

conclusionsWe 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.

Indexed as

Polymorphism, Single NucleotideAdultAgedAsian PeopleBiomarkersBlood GlucoseCross-Sectional StudiesFemaleGene-Environment InteractionGene FrequencyGenetic Predisposition to DiseaseHeterozygoteHumansIndonesiaIon ChannelsLinkage DisequilibriumBiomarkersBlood GlucoseIon ChannelsLipidsMitochondrial ProteinsUCP2 protein, humanUncoupling Protein 2

Identifiers

PMID22533685
PMCPMC3412711
OpenAlexW2136875557

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.