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

Aim: To evaluate the causal determinants and their risk predictive efficacy of gestational diabetes mellitus (GDM) in Chinese population.
Methods: Genotyping data for candidate genetic variants were collected from 554 cases of GDM and 641 pregnant women with normal glucose tolerance. The associations between these variants and GDM risk were evaluated with the odds ratios (ORs) and their corresponding 95% confidence intervals (CIs). Multivariate mendelian randomization (MVMR) was employed to validate the GDM causal factors. Subsequently, a GDM early risk prediction nomogram model was developed based on the key clinical and genetic factors identified.
Result: After adjusting age and pre-pregnancy BMI (pre-BMI), the rs6127416 variant showed a significant association with susceptibility to GDM. Comparing the AA genotype to the TT genotype, the adjusted odds ratio (OR) was 2.20 (95%CI = 1.53-3.18, P <0.001), and comparing AA to TT/TA genotypes, the adjusted O..., Study population
In the initial discovery phase, a genome-wide association study (GWAS) was conducted to identify GDM-associated SNPs (GDM-SNPs). The study included 96 GDM patients and 96 age- and pre-BMI-matched healthy pregnant women, all recruited during the same period, using the Infinium Asian Screening Array (ASA, Illumina) BeadChip.
      For the validation phase, a total of 1195 singleton pregnant women (554 GDM patients and 641 healthy controls) with similar characteristics were enrolled at a hospital over a two-year period for genotyping of candidate SNPs. GDM was based on the criteria of the 75g oral glucose tolerance test (OGTT) conducted at 24-28 weeks of gestation, with fasting plasma glucose (FPG) ≥ 5.1mmol/L or 1-hour plasma glucose (1hPG) ≥ 10.0 mmol/L, or 2hPG ≥ 8.5 mmol/L as per the guidelines established by the International Association of Diabetes and Pregnancy Study Group (IADPSG).(24) 
Subjects meeting th..., # Causal inference and risk prediction of gestational diabetes mellitus based on case-control study and Mendel randomization

This dateset include 554 gestational diabetes mellitus (GDM) patients and 641 healthy pregnancies' baseline information obtained from unique questionnaire and medical records, and the genetic loci were genotyped by the Sequenom MassARRAY platform. The clinical indicators and genetic variants significantly statistical associated with GDM were used to construct nomogram model. Nomogram model is formulated a standard of scoring based on the regression coefficient (β) of indicators. Each level of the indicators will be given specific score and the scores of each factor are added up to get the total point, which can use to predict the the probability of GDM occurrence.

File: Causal_inference_and_risk_prediction_of_gestational_diabetes_mellitus_based_on_case-control_study_and_Mendel_randomization.csv

Subjects' baseline data involve systolic blood pressure (SBP, mmHg)..., All participants were provided written informed consent. The personal identity information data of the subjects have been anonymized.