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245 results for “gestational diabetes mellitus”

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zenodo40/100

Vitamin B12 deficiency anaemia and gestational diabetes mellitus: a two-sample Mendelian randomization study

Open the record for dataset details and reuse information.

opencc-by-4.0Aug 2024View details →
dryad36/100

Raw data for the association of genetic variants of ErbB4 gene and gestational diabetes mellitus

<div>Gestational diabetes (GDM) is one of the common complications of female pregnancy, which seriously affects the health of patients and their offspring. So far, the etiology has not yet been fully clarified. To clarify the relationship of Erb-b2 receptor tyrosine kinase 4 (ErbB4) genetic variants and GDM risk in a Chinese population, ErbB4 variants (rs1595064, rs1595065, rs1595066 and rs6719645) were selected and genotyped in 554 GDM cases and 641 healthy controls. The associations between variants and GDM risk were evaluated with the odds ratios (ORs) and their corresponding 95% confidence intervals (CIs). The false-positive reporting probability (FPRP), multi-factor dimension reduction (MDR) and bioinformatics analysis were adopted to confirm the significant associations. A nomogram model was constructed to predict the risk of GDM. Association analysis demonstrated that the rs1595066 genotype performed a protective effect on GDM risk among whole subjects. Meanwhile, stratified analysis showed that rs1595066 was significantly associated with GDM risk in various subgroups, such as age&gt;30.09 years old, pre-pregnancy BMI&gt;22.23 Kg/m<sup>2</sup> ,SBP≤110.08 mmHg, etc. Further, interactions between rs1595066 and DBP (Pinteraction=0.01), FPG (Pinteraction&lt;0.001) and HbA1c (Pinteraction&lt; 0.001) were detected. The FPRP analysis confirmed that association of rs1595066 and GDM risk in subjects of FPG≤4.79 mmol/L (P=0.199) is true at a prior probability of 0.1. The MDR analysis suggested that rs1595066 was the best single locus model, while the 4-loci model was considered the best multiple factors model to predict GDM risk. Functional prediction revealed that rs1595066 may disturb the microRNA binding sites to influence the stability of miRNA-mRNA binding. The predictive nomogram model has a good consistency and acceptable discriminative ability with a diagnosed AUC of 0.813.ErbB4 rs1595066 was significantly associated with GDM risk and underlying mechanism causing GDM may be the interaction of gene-gene, gene-environment and the changes in the regulatory effects of miRNAs on ERBB4 expression. The nomogram model has a good prospect for GDM prediction.</div>

opencc-zeroOct 2023View details →
dryad36/100

Data from: Genetic susceptibility, Mendelian randomization and nomogram model construction of gestational diabetes mellitus

<p>The dataset contains subjects' basic information, including the Identification number of the test sample, fasting plasma glucose (FPG), oral glucose tolerance test 1h plasma glucose (1hPG), oral glucose tolerance test 2h plasma glucose (2hPG), glycated hemoglobin (HbA1c), Systolic blood pressure (SBP), Diastolic blood pressure (DBP), triglyceride (TG), total cholesterol (TC), High-density lipoprotein cholesterol (HDL-c), Low-density lipoprotein cholesterol (LDL-c), and also involves subjects' genetic variant information used for analysis of the association of functional polymorphisms and GDM. The variables including SBP_M, DBP_M, FPG_M, 1hPG_M, 2hPG_M, HbA1c_M, TG_M represent the mean value of SBP, DBP, FPG, 1hPG, 2hPG, HbA1c, TG, which are used for the stratification analysis. This study has obtained the support from the Ethics Committee of Guilin Medical University. All included subjects signed the informed consent.</p>

opencc-zeroMar 2024View details →
ClinicalTrials.gov36/100

RCT Metformin for Reduction of Gestational Diabetes Mellitus Effects

ClinicalTrials.gov study NCT02980276. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

The Effect of Continuous Glucose Monitoring on Glycemic Control in Insulin-requiring Gestational Diabetes Mellitus

ClinicalTrials.gov study NCT02204657. IPD Sharing: NO. Countries: 1. Publications: 11.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Effects of Gestational Diabetes Mellitus on Children

ClinicalTrials.gov study NCT03997396. IPD Sharing: NO. Countries: 1. Publications: 8.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Combined Liraglutide and Metformin Therapy in Women With Previous Gestational Diabetes Mellitus (GDM)

ClinicalTrials.gov study NCT01234649. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Gestational Diabetes Mellitus Trial (GDM)

ClinicalTrials.gov study NCT00069576. IPD Sharing: Not stated. Countries: 1. Publications: 23.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Dietary Management of Gestational Diabetes Mellitus

ClinicalTrials.gov study NCT05613920. IPD Sharing: NO. Countries: 1. Publications: 5.

closedIPD-NOFeb 2026View details →
dryad36/100

Causal inference and risk prediction of gestational diabetes mellitus based on case-control study and Mendel randomization

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publicOct 2025View details →
dryad36/100

Data from: Genetic variants in HLA-DQA1/DQB1 genes modulate the risk of gestational diabetes mellitus in a southern Chinese population

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publicAug 2025View details →
dryad36/100

Raw data for the association of genetic variants of ErbB4 gene and gestational diabetes mellitus

Open the record for dataset details and reuse information.

publicOct 2023View details →
dryad36/100

Data from: Genetic susceptibility, Mendelian randomization and nomogram model construction of gestational diabetes mellitus

Open the record for dataset details and reuse information.

publicMar 2024View details →
dryad36/100

Data from: Association and function analysis of genetic variants and the risk of gestational diabetes mellitus in a southern Chinese population

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publicDec 2024View details →
dryad32/100

Data from: Impact on offspring methylation patterns of maternal gestational diabetes mellitus and intrauterine growth restraint suggest common genes and pathways linked to subsequent type 2 diabetes risk

Size at birth, postnatal weight gain, and adult risk for type 2 diabetes may reflect environmental exposures during developmental plasticity and may be mediated by epigenetics. Both low birth weight (BW), as a marker of fetal growth restraint, and high birth weight (BW), especially after gestational diabetes mellitus (GDM), have been linked to increased risk of adult type 2 diabetes. We assessed DNA methylation patterns using a bead chip in cord blood samples from infants of mothers with GDM (group 1) and infants with prenatal growth restraint indicated by rapid postnatal catch-up growth (group 2), compared with infants with normal postnatal growth (group 3). Seventy-five CpG loci were differentially methylated in groups 1 and 2 compared with the controls (group 3), representing 72 genes, many relevant to growth and diabetes. In replication studies using similar methodology, many of these differentially methylated regions were associated with levels of maternal glucose exposure below that defined by GDM [the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study] or were identified as changes observed after randomized periconceptional nutritional supplementation in a Gambian cohort characterized by maternal deprivation. These studies provide support for the concept that similar epigenetic modifications may underpin different prenatal exposures and potentially increase long-term risk for diseases such as type 2 diabetes.

opencc-zeroDec 2013View details →
dryad32/100

Raw data for Association of ACE2 gene functional variants with gestational diabetes mellitus risk in a southern Chinese population

<p class="MsoNormal"><span>These data were generated to investigate the association and functional analysis of angiotensin-converting enzyme 2 genetic variants with the pathogenesis of Gestational diabetes mellitus (GDM). This study conducted a case-control study involving 569 GDM patients and 735 healthy pregnant women to explore the associations between candidate variants in the ACE2 gene variants and the pathogenesis of GDM. This study collected clinical samples and data, and used logistic regression, false positive report rate, multi factor dimension reduction, functional analysis and other analysis methods to process the research data. Potential functional ACE2 gene variants (rs2106809 A&gt;G, rs6632677 G&gt;C, and rs2074192 C&gt;T) were selected and genotyped using kompetitive allele-specific PCR. The strength of the associations between the studied genetic variants and the risk of GDM were evaluated using odds ratios (ORs) and corresponding 95% confidence intervals (CIs). </span><span>Finally, ACE2 gene variants are significantly associated with the risk of GDM via gene-gene and gene-environment combination. The rs2074192 C &gt; T affects the splicing of ACE2 gene, which may be a potential mechanism leading to the altered susceptibility of individual female during pregnancy in Guilin to GDM</span></p>

opencc-zeroNov 2022View details →
ClinicalTrials.gov32/100

Early Detection of Gestational Diabetes Mellitus in Pregnancy

ClinicalTrials.gov study NCT05388643. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Randomized Controlled Trial Intervention With New Nordic DIet in Women With GestatiOnal Diabetes Mellitus: iNDIGO

ClinicalTrials.gov study NCT04169243. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Early Screening for Gestational Diabetes Mellitus in a Low Risk Population

ClinicalTrials.gov study NCT06704035. IPD Sharing: NO. Countries: 1. Publications: 31.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Lifestyle Intervention for Women With Recent Pre-eclampsia or Gestational Diabetes Mellitus ('Mom's Healthy Heart')

ClinicalTrials.gov study NCT03993145. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record