Evidence map›Paper›PMID 41540021›Full record

ArticleNature communications2026

Genetic insights and mechanistic parallels in gestational diabetes mellitus and type 2 diabetes.

Liwan Fu, Xiaodi Han, Yuquan Wang, Yue-Qing Hu

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Liwan Fu *Center for Non-Communicable Disease Management, Department of Neurology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China. liwanfelix@foxmail.com.ORCID http://orcid.org/0000-0002-7851-6379
Xiaodi Han *Center for Non-Communicable Disease Management, Department of Neurology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Yuquan WangState Key Laboratory of Genetic Engineering, Human Phenome Institute, Institute of Biostatistics, School of Life Sciences, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-6656-7443
Yue-Qing HuState Key Laboratory of Genetic Engineering, Human Phenome Institute, Institute of Biostatistics, School of Life Sciences, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-5730-0317

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82204063
6 · The paper itself

Abstract

Gestational diabetes mellitus (GDM) has a high heritability and frequently co-occurs with type 2 diabetes (T2D), indicating shared genetic mechanisms. Firstly, we employed RHOGE to ascertain the genetic correlation and putative causal directions between GDM and T2D. Subsequently, the Genotype-Tissue Expression Project v8 eQTls files and the FinnGen R11 dataset were employed to conduct cross-tissue transcriptome association studies, Functional Summary-based Imputation in single tissues, and Gene Analysis combined with Multimarker Analysis of Genomic Annotation for GDM and T2D, respectively. A total of 5 genes were identified as GDM susceptibility and 97 genes linked to T2D susceptibility. Of these, four genes (COBLL1, NRBP1, IFT172 and TRIM54) were identified as being shared. Mendelian randomization and colocalization analyses revealed the causal associations of them with GDM and T2D in distinct tissues. Subsequent analyses indicated COBLL1 may influence GDM and T2D risk by regulation of actin filament polymerization and interactions with chemical responses. NRBP1 may confer protective effects against diabetes through regulation of insulin secretion, while IFT172 and TRIM54 may play a role in energy balance signaling and metabolism of skeletal muscle, respectively. Our study provides insight into the shared genetic mechanism between GDM and T2D and identifies potential targets for pharmacological intervention.

Indexed as

Diabetes, GestationalDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotidePregnancyQuantitative Trait LociReceptors, Cytoplasmic and NuclearTranscription FactorsTripartite Motif ProteinsUbiquitin-Protein LigasesReceptors, Cytoplasmic and NuclearTranscription FactorsTripartite Motif ProteinsUbiquitin-Protein Ligases

Identifiers

PMID41540021
PMCPMC12816006

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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.