Evidence map›Paper›PMID 24959828›Full record

ArticlePloS one2014

Genetic association study with metabolic syndrome and metabolic-related traits in a cross-sectional sample and a 10-year longitudinal sample of chinese elderly population.

Jinghui Yang, Jianwei Liu, Jing Liu, Wenyuan Li, Xiaoying Li, Yao He, Ling Ye

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  5. Melatonin in type 2 diabetes mellitus and obesity.Nature reviews. Endocrinology · 2019
    Review
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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

7 authors at 2 institutions in 3 countries.

Jinghui YangInstitute of Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China; Beijing Key Lab of Aging and Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China.
Jianwei LiuInstitute of Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China; Beijing Key Lab of Aging and Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China.
Jing LiuInstitute of Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China; Beijing Key Lab of Aging and Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China.
Wenyuan LiDepartment of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Xiaoying LiInstitute of Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China; Department of Geriatric Cardiology, the General Hospital of the People's Liberation Army, Beijing, China.
Yao HeInstitute of Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China; Beijing Key Lab of Aging and Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China.
Ling YeInstitute of Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China; Beijing Key Lab of Aging and Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China.
Chinese General Hospital College of Nursing and Liberal Arts · PHHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe metabolic syndrome (MetS) has been known as partly heritable, while the number of genetic studies on MetS and metabolic-related traits among Chinese elderly was limited.

methodsA cross-sectional analysis was performed among 2 014 aged participants from September 2009 to June 2010 in Beijing, China. An additional longitudinal study was carried out among the same study population from 2001 to 2010. Biochemical profile and anthropometric parameters of all the participants were measured. The associations of 23 SNPs located within 17 candidate genes (MTHFR, PPARγ, LPL, INSIG, TCF7L2, FTO, KCNJ11, JAZF1, CDKN2A/B, ADIPOQ, WFS1, CDKAL1, IGF2BP2, KCNQ1, MTNR1B, IRS1, ACE) with overweight and obesity, diabetes, metabolic phenotypes, and MetS were examined in both studies.

resultsIn this Chinese elderly population, prevalence of overweight, central obesity, diabetes, dyslipidemia, hypertension, and MetS were 48.3%, 71.0%, 32.4%, 75.7%, 68.3% and 54.5%, respectively. In the cross-sectional analyses, no SNP was found to be associated with MetS. Genotype TT of SNP rs4402960 within the gene IGF2BP2 was associated with overweight (odds ratio (OR)  = 0.479, 95% confidence interval (CI): 0.316-0.724, p = 0.001) and genotype CA of SNP rs1801131 within the gene MTHFR was associated with hypertension (OR = 1.560, 95% CI: 1.194-2.240, p = 0.001). However, these associations were not observed in the longitudinal analyses.

conclusionsThe associations of SNP rs4402960 with overweight as well as the association of SNP rs1801131 with hypertension were found to be statistically significant. No SNP was identified to be associated with MetS in our study with statistical significance.

Indexed as

Asian PeopleQuantitative Trait, HeritableAgedAge FactorsChinaCross-Sectional StudiesFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansLongitudinal StudiesMaleMetabolic SyndromeMiddle AgedPolymorphism, Single NucleotideRisk Factors

Identifiers

PMID24959828
PMCPMC4069025
OpenAlexW2024623309

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.