Evidence map›Paper›PMID 39777224›Full record

ArticleFrontiers in endocrinology2024

Association and function analysis of genetic variants and the risk of gestational diabetes mellitus in a southern Chinese population.

Qiulian Liang, Yan Sun, Ming Li, Ruiqi Li, Lijie Nie, Lin Lin, Xiangyuan Yu

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PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. Review
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.

Qiulian Liang *School of Public Health and Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, China.
Yan Sun *School of Public Health and Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, China.
Ming Li *Department of Histology and Embryology, School of Basic Medicine, Hunan University of Medicine, Huaihua, China.
Ruiqi LiSchool of Public Health and Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, China.
Lijie NieSchool of Public Health and Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, China.
Lin LinThe Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Xiangyuan YuSchool of Public Health and Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gestational diabetes mellitus (GDM) is a complex metabolic disease that has short-term and long-term adverse effects on mothers and infants. However, the specific pathogenic mechanism has not been elucidated. Objective: The aim of this study was to confirm the associations between candidate genetic variants (rs4134819, rs720918, rs2034410, rs11109509, and rs12524768) and GDM risk and prediction in a southern Chinese population. Methods: Candidate variants were genotyped in 538 GDM cases and 626 healthy controls. The odds ratio (OR) and its corresponding 95% confidence interval (CI) were calculated to assess the associations between genotypes and GDM risk. Then, the false-positive report probability (FPRP) analysis was adopted to confirm the significant associations, and bioinformatics tools were used to explore the potential biological function of studied variants. Finally, risk factors of genetic variants and clinical indicators identified by logistics regression were used to construct a nomogram model for GDM prediction. Results: It was shown that the Conclusion: The variant rs4134819 can significantly alter the susceptibility of the Chinese population to GDM possibly by regulating the transcription of functional genes. The nomogram prediction model constructed with genetic variants and clinical factors can help distinguish high-risk GDM individuals.

Indexed as

Diabetes, GestationalEast Asian PeopleGenetic Predisposition to DiseaseAdultCase-Control StudiesChinaFemaleGenotypeHumansNomogramsPolymorphism, Single NucleotidePregnancyRisk Factorsassociationgenetic variantsgestational diabetes mellitusnomogram modelprediction

Identifiers

PMID39777224
PMCPMC11703716

What Socratic holds

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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 Socratic graph.