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

This dataset include 538 gestational diabetes mellitus (GDM) patients and
626 healthy pregnancies’ baseline information obtained from unique
questionnaires and medical records, and the genetic loci were genotyped by
the Sequenom MassARRAY platform. The clinical indicators and genetic
variants that are statistically associated with GDM were used to construct
a nomogram model. The nomogram model is formulated as a standard of
scoring based on the regression coefficient (β) of indicators. Each level
of the indicators will be given a specific score and the scores of each
factor are added up to get the total point, which can be used to predict
the probability of GDM occurrence.  Subjects’ baseline data
involve systolic blood pressure (SBP, mmHg), diastolic blood pressure
(DBP, mmHg), fasting plasma glucose (FPG, mmol/L), oral glucose tolerance
test 1h plasma glucose (1hPG, mmol/L), oral glucose tolerance test 2h
plasma glucose (2hPG, mmol/L), glycated hemoglobin (HbA1c, %),
triglyceride (TG, mmol/L), total cholesterol (TC, mmol/L), high-density
lipoprotein cholesterol (HDL-c, mmol/L), low-density lipoprotein
cholesterol (LDL-c, mmol/L). The data of genetic polymorphism include
rs4134819 C>T, rs720918 A>G, rs2034410 T>C,
rs11109509 A>G, and rs12524768 G>A and their corresponding
dominant and recessive genetic model.