Evidence map›Paper›PMID 40340704›Full record

SynthesisBMC endocrine disorders2025

Association of CDKAL1 gene polymorphisms variations with gestational diabetes mellitus risk in women: A case-control study and meta-analysis.

Watson Ray Gyan, Hengli Zhang, Taotao Shao, Taili Yang, Yue Wei, Mianqin Li, Xiaoqun Che, Qiaoli Zeng, Runmin Guo

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Association ofFrontiers in endocrinology · 2025
    Pooled it
  3. Article
  4. Review
  5. 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

9 authors.

Watson Ray GyanDepartment of Internal Medicine, Shunde Women and Children's Hospital, Maternity and Child Healthcare Hospital of Shunde Foshan, Guangdong Medical University, Foshan, Guangdong, China.ORCID http://orcid.org/0000-0002-6381-2300
Hengli ZhangDepartment of Internal Medicine, Shunde Women and Children's Hospital, Maternity and Child Healthcare Hospital of Shunde Foshan, Guangdong Medical University, Foshan, Guangdong, China.
Taotao ShaoDepartment of Internal Medicine, Shunde Women and Children's Hospital, Maternity and Child Healthcare Hospital of Shunde Foshan, Guangdong Medical University, Foshan, Guangdong, China.
Taili YangMaternal and Child Research Institute, Shunde Women and Children's Hospital, Maternity and Child Healthcare Hospital of Shunde Foshan, Guangdong Medical University, Foshan, Guangdong, China.
Yue WeiMaternal and Child Research Institute, Shunde Women and Children's Hospital, Maternity and Child Healthcare Hospital of Shunde Foshan, Guangdong Medical University, Foshan, Guangdong, China.
Mianqin LiDepartment of Ultrasound, Shunde Women and Children's Hospital, Maternity and Child Healthcare Hospital of Shunde Foshan, Guangdong Medical University, Foshan, Guangdong, China. 260278907@qq.com.
Xiaoqun CheDepartment of Obstetric, Shunde Women and Children's Hospital, Maternity and Child Healthcare Hospital of Shunde Foshan, Guangdong Medical University, Foshan, Guangdong, China. xiaoqche@126.com.
Qiaoli ZengDepartment of Internal Medicine, Shunde Women and Children's Hospital, Maternity and Child Healthcare Hospital of Shunde Foshan, Guangdong Medical University, Foshan, Guangdong, China.
Runmin GuoDepartment of Internal Medicine, Shunde Women and Children's Hospital, Maternity and Child Healthcare Hospital of Shunde Foshan, Guangdong Medical University, Foshan, Guangdong, China. runmin.guo@gdmu.edu.cn.

Funding

Doctoral scientific research Initiate funding project of Shunde Women and Children's Hospital of Guangdong Medical University (Maternity and Child Healthcare Hospital of Shunde Foshan) 2020BSQD007National Natural Science Foundation of China 81873649Self-financing science and technology project of Foshan 2320001006049
6 · The paper itself

Abstract

backgroundGestational diabetes mellitus (GDM) has seen a significant rise and has become a growing concern worldwide, especially in Asian populations. Genetic factors, such as variations in the CDKAL1 gene, have been linked to its development. However, existing research on this connection is limited and inconclusive, highlighting the need for further investigation. This study aims to explore the association between CDKAL1 gene polymorphisms and GDM risk in a Chinese population using a comprehensive case-control study and meta-analysis.

methodsThe SNPscan™ genotyping assay was used to genotype rs7754840 and rs7756992, in 502 control participants and 500 GDM patients. ANOVA, T-test, chi-square test, logistic regression, and other statistical tests were used to determine the differences in genotypes and alleles and their associations to the risk of GDM. Additionally, a meta-analysis of existing studies on CDKAL1 polymorphisms and GDM was performed to provide a broader context and resolve inconsistencies in the literature.

resultsThe GDM group had a significantly older average mean age and higher blood pressure, and fasting plasma glucose levels than the control group (P < 0.05). CDKAL1 rs7754840 showed significant associations under codominant homozygous model (CC vs. GG: OR = 1.748; 95% CI: 1.178-2.593; P = 0.006). After adjusting, these results indicated an association between CDKAL1 rs7754840 and increased risk of GDM in the codominant model (OR = 1.715; 95% CI: 1.133-2.595; P = 0.011). However, further analysis revealed no significant associations under all genetic models for CDKAL1 rs7756992. The study found that individuals under 30 with the rs7754840 CC genotype had higher fasting glucose and postprandial glucose levels (P < 0.05) compared to those with the GG genotype. Figure 3 A demonstrated a modest association between the CDKAL1 and GDM susceptibility (OR 1.16, 95% CI 1.104-1.29, P = 0.0258).

conclusionIndividuals with the CDKAL1 rs7754840 polymorphism was associated to an increased risk of GDM, whereas rs7756992 did not show significant association with GDM risk. These results provide a theoretical foundation for GDM testing to mitigate its associated complications by enhancing our ability to predict, prevent and manage GDM. Ultimately improving outcomes for both mothers and their children. This research contributes to the growing evidence of genetic predisposition to GDM and highlights the importance of CDKAL1 as a potential genetic marker for GDM risk assessment.

Indexed as

Diabetes, GestationalGenetic Predisposition to DiseasePolymorphism, Single NucleotidetRNA MethyltransferasesAdultCase-Control StudiesChinaFemaleGenotypeHumansPregnancyRisk FactorsCDKAL1 protein, humantRNA MethyltransferasesCase-control studyCDKAL1 geneGenetic associationGenetic risk factorsGestational diabetes mellitus (GDM)Single nucleotide polymorphisms (SNP)

Identifiers

PMID40340704
PMCPMC12060556

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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.