Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Leveraging expression quantitative trait loci information in single-cell resolution to identify cell-specific genes for gestational diabetes.

PloS one - 1 Jan 2026

Zhu Wenyan, Wu Xiaowei, Hu Rongkui

Abstract excerpt

BACKGROUND: Gestational diabetes mellitus (GDM) is a common pregnancy complication with long-term metabolic consequences for both mother and offspring. While genome-wide association studies (GWAS) have identified risk loci, the cell-type-specific genetic architecture remains poorly characterized due to the limitations of bulk-tissue analyses. METHODS: We integrated GWAS summary statistics from FinnGen (12,332...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aminopeptidases
Share to Diabetes, Gestational
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Monocytes

Share to Pregnancy

Share to Quantitative Trait Loci

Share to Single-Cell Analysis

Share to Single-Cell Gene Expression Analysis

Source

Open in PubMed Open full text

Identifiers

PMID: 42531322
DOI: 10.1371/journal.pone.0355339
PMCID: PMC13423032

Genes

ERAP1
ERAP2
RIOK2
CD4
LNPEP

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Leveraging expression quantitative trait loci information in single-cell resolution to identify cell-specific genes for gestational diabetes.PMID 42531322Read ↗

Discrete placental gene expression signatures accompany diabetic disease classifications during pregnancySemantic proximity Read ↗

S-MiXcan: Inferring Cell-Type-Level Transcriptome-Wide Associations from Bulk Transcriptomics Using GWAS Summary StatisticsSemantic proximity Read ↗

Integrating single cell expression quantitative trait loci summary statistics to understand complex trait risk genes.Semantic proximity Read ↗

Single-cell transcriptomics reveals markers of regulatory T cell dysfunction in Gestational Diabetes MellitusSemantic proximity Read ↗

Single-cell and proteomic profiling unveil aberrant immune phenotypes in gestational diabetes following assisted reproductive technology.Semantic proximity Read ↗

Transcriptomic Profiling of Human Placenta in Gestational Diabetes Mellitus at the Single-Cell LevelSemantic proximity Read ↗

Single-cell genetics identifies cell-type-specific effector genes across complex traits and diseasesSemantic proximity Read ↗

Cell-Type Heterogeneity in Adipose Tissue Is Associated with Complex Traits and Reveals Disease-Relevant Cell-Specific eQTLsSemantic proximity Read ↗

Placental whole transcriptome expression profile in patients with early-onset, late-onset preeclampsia and gestational diabetes mellitusSemantic proximity Read ↗

Transcriptomic Profiling of Human Placenta in Gestational Diabetes Mellitus at the Single-Cell LevelSemantic proximity Read ↗

Multi-omics Integration with GWAS Unveils Molecular Mechanistic Insights for Type 2 DiabetesSemantic proximity Read ↗

Cross-ancestry analysis of gestational diabetes mellitus identifies novel loci, drug targets and biological pathways.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.