Evidence map›Paper›PMID 37621650›Full record

SynthesisFrontiers in endocrinology2023

The rs17782313 polymorphism near MC4R gene confers a high risk of obesity and hyperglycemia, while PGC1α rs8192678 polymorphism is weakly correlated with glucometabolic disorder: a systematic review and meta-analysis.

Youjin Zhang, Shiyun Li, Haiyan Nie, Xue Wang, Xuanxuan Li, Jinhui Wen, Mengxi Li, Yongyan Song

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  7. Article
  8. The Genetic Blueprint of Obesity: From Pathogenesis to Novel Therapies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
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  10. Article
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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

8 authors at 2 institutions in 1 country.

Youjin ZhangCentral Laboratory, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China.
Shiyun LiDepartment of Endocrinology, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China.
Haiyan NieClinical Medical College of Chengdu University, Chengdu, Sichuan, China.
Xue WangCentral Laboratory, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China.
Xuanxuan LiClinical Medical College of Chengdu University, Chengdu, Sichuan, China.
Jinhui WenDepartment of Endocrinology, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China.
Mengxi LiClinical Medical College of Chengdu University, Chengdu, Sichuan, China.
Yongyan SongCentral Laboratory, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China.
Chengdu University · CNChengdu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relationships of the rs17782313 polymorphism near melanocortin 4 receptor gene (MC4R) and the rs8192678 polymorphism in peroxisome proliferator-activated receptor gamma coactivator 1 alpha gene (PGC1α) with metabolic abnormalities have been explored in many populations around the world, but the findings were not all consistent and sometimes even a bit contradictory. Methods: Electronic databases including Medline, Scopus, Embase, Web of Science, CNKI and Google Scholar were checked for studies that met the inclusion criteria. Data were carefully extracted from eligible studies. Standardized mean differences (SMDs) were calculated by using a random-effects model to examine the differences in the indexes of obesity, glucometabolic disorder and dyslipidemia between the genotypes of the rs17782313 and rs8192678 polymorphisms. Cochran's Q-statistic test and Begg's test were employed to identify heterogeneity among studies and publication bias, respectively. Results: Fifty studies (58,716 subjects) and 51 studies (18,660 subjects) were respectively included in the pooled meta-analyses for the rs17782313 and rs8192678 polymorphisms. The C-allele carriers of the rs17782313 polymorphism had a higher average level of body mass index (SMD = 0.21 kg/m Conclusion: The meta-analysis demonstrates that the C allele of the MC4R rs17782313 polymorphism confers a higher risk of obesity and hyperglycemia, and the PGC1α rs8192678 polymorphism is weakly correlated with glucometabolic disorder. These findings may partly explain the relationships between these variants and diabetes as well as cardiovascular disease. Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42022373543.

Indexed as

HyperglycemiaAllelesGenotypeHumansObesityPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaReceptor, Melanocortin, Type 4MC4R protein, humanPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaReceptor, Melanocortin, Type 4hyperglycemiaMC4RobesityPGC1αrs17782313rs8192678

Identifiers

PMID37621650
PMCPMC10445758
OpenAlexW4385698534

What OpenQuestion holds

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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.