Evidence map›Paper›PMID 26340433›Full record

ArticlePloS one2015

A Common Variant of NGEF Is Associated with Abdominal Visceral Fat in Korean Men.

Hyun-Jin Kim, Jin-Ho Park, Seungbok Lee, Ho-Young Son, Jinha Hwang, Jeesoo Chae, Jae Moon Yun, Hyuktae Kwon, Jong-Il Kim, Belong Cho

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 24% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. The Bayesian Regularized Quantile Varying Coefficient Model.Computational statistics & data analysis · 2023
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  4. Aldo-Keto Reductase 1C1 (International journal of molecular sciences · 2020
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  9. Article
  10. A panel of four genes accurately differentiates benign from malignant thyroid nodules.Journal of experimental & clinical cancer research : CR · 2016
    Article
  11. Article
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

10 authors at 2 institutions in 1 country.

Hyun-Jin KimInstitute of Health and Environment, School of Public Health, Seoul National University, Seoul, South Korea.
Jin-Ho ParkDepartment of Family Medicine, Seoul National University Hospital, Seoul, South Korea.
Seungbok LeeGenomic Medicine Institute (GMI), Medical Research Center, Seoul National University, Seoul, South Korea.
Ho-Young SonDepartment of Biochemistry, Seoul National University College of Medicine, Seoul, South Korea.
Jinha HwangDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea.
Jeesoo ChaeDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea.
Jae Moon YunDepartment of Family Medicine, Seoul National University Hospital, Seoul, South Korea.
Hyuktae KwonDepartment of Family Medicine, Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, South Korea.
Jong-Il KimGenomic Medicine Institute (GMI), Medical Research Center, Seoul National University, Seoul, South Korea; Department of Biochemistry, Seoul National University College of Medicine, Seoul, South Korea; Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea.
Belong ChoDepartment of Family Medicine, Seoul National University Hospital, Seoul, South Korea.
Seoul National University · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Central adiposity, rather than body mass index (BMI), is a key pathophysiological feature of the development of obesity-related diseases. Although genetic studies by anthropometric measures such as waist circumference have been widely conducted, genetic studies for abdominal fat deposition measured by computed tomography (CT) have been rarely performed. A total of 1,243 participants who were recruited from two health check-up centers were included in this study. We selected four and three single-nucleotide polymorphisms (SNPs) in NGEF and RGS6, respectively, and analyzed the associations between the seven SNPs and central adiposity measured by CT using an additive, dominant, or recessive model. The participants were generally healthy middle-aged men (50.7 ± 5.3 years). In the additive model, the rs11678490 A allele of NGEF was significantly associated with total adipose tissue, visceral adipose tissue (VAT), and subcutaneous adipose tissue (all P < 0.05). The AA genotype of this SNP in the recessive model showed a more significant association with all adiposity traits, and its association with VAT remained significant even after adjustment for BMI (P = 0.005). In the overall or visceral obesity group analysis, the AA genotype of rs11678490 showed no association with overall obesity (P = 0.148), whereas it was significantly associated with visceral obesity both before (P = 0.010) and after (P = 0.029) adjustment for BMI. In particular, an AA genotype effect was conspicuous between lower and upper groups with 5% extreme VAT phenotypes (OR = 9.59, 95% CI = 1.50-61.31). However, we found no significant association between SNPs of RGS6 and central adiposity. We identified a visceral-fat-associated SNP, rs11678490 of NGEF, in Korean men. This study suggests that the genetic background of central adiposity and BMI is different, and that additional efforts should be made to find the unique genetic architecture of intra-abdominal fat accumulation.

Indexed as

Polymorphism, Single NucleotideAllelesBody Mass IndexCase-Control StudiesGene ExpressionGenotypeGuanine Nucleotide Exchange FactorsHumansIntra-Abdominal FatMaleMiddle AgedModels, GeneticObesity, AbdominalRepublic of KoreaRGS ProteinsRisk FactorsGuanine Nucleotide Exchange FactorsNGEF protein, humanRGS6 protein, humanRGS Proteins

Identifiers

PMID26340433
PMCPMC4560439
OpenAlexW2118811366

What OpenQuestion holds

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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.