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

An early prediction model for gestational diabetes mellitus based on genetic variants and clinical characteristics in China

24 Jan 2022

Abstract excerpt

OBJECTIVES: To evaluate the influence of genetic variants and clinical characteristics on the risk of gestational diabetes mellitus (GDM) and to construct and verify a prediction model of GDM in early pregnancy. METHODS: Four hundred seventy five women with GDM and 487 women without, as a control, were included to construct the prediction model of GDM in early pregnancy. Both groups had complete genotyping...

Read the complete abstract on PubMed

Topics

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

Share to Aldose Reductase and Taurine
Share to Gestational Diabetes Research and Management
Share to Pancreatic function and diabetes

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35073990
DOI: 10.1186/s13098-022-00788-y

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

An early prediction model for gestational diabetes mellitus based on genetic variants and clinical characteristics in ChinaPMID 35073990Read ↗

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

Genetic studies of gestational diabetes mellitus in 21,813 Chinese womenSemantic proximity Read ↗

Association of Common Genetic Risk Variants With Gestational Diabetes Mellitus and Their Role in GDM Prediction.Semantic proximity Read ↗

Genetic Susceptibility, Mendelian Randomization, and Nomogram Model Construction of Gestational Diabetes Mellitus.Semantic proximity Read ↗

Genetic variants and clinical relevance associated with gestational diabetes mellitus in Chinese women: a case-control study.Semantic proximity Read ↗

Functional genetic variants and susceptibility and prediction of gestational diabetes mellitus.Semantic proximity Read ↗

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

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

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

A genome-wide association study of gestational diabetes mellitus in Chinese womenSemantic proximity Read ↗

Update on the genetic and epigenetic etiology of gestational diabetes mellitus: a reviewSemantic proximity Read ↗

Genome-wide association and Mendelian randomisation analysis among 30,699 Chinese pregnant women identifies novel genetic and molecular risk factors for gestational diabetes and glycaemic traitsSemantic proximity Read ↗

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