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

Integrating polygenic risk scores in the prediction of gestational diabetes risk in China.

Frontiers in endocrinology - 1 Jan 2024

Cheng Jiayi, Meng Chan, Li Junwei, Kong Ziwen, Zhou Aifen

Abstract excerpt

Background: Polygenic risk scores (PRS) serve as valuable tools for connecting initial genetic discoveries with clinical applications in disease risk estimation. However, limited studies have explored the association between PRS and gestational diabetes mellitus (GDM), particularly in predicting GDM risk among Chinese populations. Aim: To evaluate the relationship between PRS and GDM and explore the predictive...

Read the complete abstract on PubMed

Topics

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

Share to Blood Glucose
Share to China
Share to Diabetes, Gestational

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Risk Score

Share to Glucose Tolerance Test

Share to Multifactorial Inheritance

Share to Pregnancy

Share to Risk Assessment

Source

Open in PubMed Open full text

Identifiers

PMID: 39165511
DOI: 10.3389/fendo.2024.1391296
PMCID: PMC11333217

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrating polygenic risk scores in the prediction of gestational diabetes risk in China.PMID 39165511Read ↗

Genetic Architecture and Risk Prediction of Gestational Diabetes Mellitus in over 116,144 Chinese PregnanciesSemantic proximity Read ↗

Genome-Wide Polygenic Risk Score Predicts Incident Type 2 Diabetes in Women With History of Gestational DiabetesSemantic proximity Read ↗

Genetic architecture and risk prediction of gestational diabetes mellitus in Chinese pregnanciesSemantic proximity Read ↗

Understanding the potential contribution of polygenic risk scores to the prediction of gestational and type 2 diabetes in women from British Pakistani and Bangladeshi groups: a cohort study in Genes and HealthSemantic proximity Read ↗

A risk prediction model of gestational diabetes mellitus based on traditional and genetic factors.Semantic proximity Read ↗

Genetic risk score to improve prediction and treatment in gestational diabetes mellitus.Semantic proximity Read ↗

Genetic determinants of gestational diabetes mellitus: a case-control study in two independent populations.Semantic proximity Read ↗

An early prediction model for gestational diabetes mellitus based on genetic variants and clinical characteristics in ChinaSemantic proximity Read ↗

Common single-nucleotide polymorphisms combined with a genetic risk score provide new insights regarding the etiology of gestational diabetes mellitus.Semantic proximity Read ↗

Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant WomenSemantic proximity Read ↗

Fine-tuning of Genome-Wide Polygenic Risk Scores and Prediction of Gestational Diabetes in South Asian Women.Semantic proximity Read ↗

Combined application of genetic and polygenic risk scores for type 1 diabetes risk predictionSemantic proximity Read ↗

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