DOI: 10.5061/dryad.fj6q5743m
title: Data from: Genetic variants and clinical indicators used to build nomogram model

description: 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 between GDM and functional polymorphisms (rs17099985,
 rs9283638, rs6798181, rs796749 and rs1742473). 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.
description: # Data from: Genetic variants and clinical indicators used to build
 nomogram modelDescriptions 1.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 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. 2.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 rs17099985 G&gt;T,
 rs9283638 C&gt;T, rs1742473 T&gt;C, rs6798181 T&gt;C, rs796749 C&gt;T, and
 their corresponding dominant and recessive genetic model. 3.The meaning of
 the different assignments in the dataset： (1)Group: 1=GDM; 0=Control group
 (2)Sample ID: Identification number of test sample (2)Variants and
 genotypes assignment 1\)rs17099985 G&gt;T: 1=GG genotype; 2=GT
 genotype;3=TT genotype 2\)rs9283638 C&gt;T: 1=CC genotype; 2=CT
 genotype;3=TT genotype 3\)rs1742473 T&gt;C: 1=TT genotype; 2=TC
 genotype;3=CC genotype 4\) rs6798181 T&gt;C: 1=TT genotype; 2=TC
 genotype;3=CC genotype 5\)rs796749 C&gt;T: 1=CC genotype; 2=CT
 genotype;3=TT genotype 6\)rs17099985 Dominant model(GT/TT vs. GG): 1=GG
 genotype; 4=GT/TT genotypes 7\)rs9283638 Dominant model(CT/TT vs.CC): 1=CC
 genotype; 4=CT/TT genotypes 8\)rs1742473 Dominant model(TC /CC vs.TT):
 1=TT genotype; 4=TC /CC genotypes 9\)rs6798181 Dominant model(TC /CC
 vs.TT): 1=TT genotype; 4=TC /CC genotypes 10\)rs796749 Dominant
 model(CT/TT vs.CC): 1=CC genotype; 4=CT/TT genotypes 11\)rs17099985
 Recessive model(TT vs. GG/GT): 3=TT genotype; 5=GG/GT genotypes
 12\)rs9283638 Recessive model(TT vs. CC/CT): 3=TT genotype; 5=CC/CT
 genotypes 13\)rs1742473 Recessive model(CC vs. TT/TC): 3=CC genotype;
 5=TT/TC genotypes 14\)rs6798181 Recessive model(CC vs. TT/TC): 3=CC
 genotype; 5=TT/TC genotypes 15\)rs796749 Recessive model(TT vs. CC/CT):
 3=TT genotype; 5=CC/CT genotypes (3)Variables for stratification analysis
 1. SBP_M (Mean SBP value:110.08 mmHg,1="≤110.08 mmHg"；2=
 “＞110.08 mmHg” ); 2. DBP_M (Mean DBP value:69.53 mmHg,1="≤69.53
 mmHg"；2= “＞69.53 mmHg ); 3. FPG_M (Mean FPG value:4.79
 mmol/L,1="≤4.79 mmol/L"；2= “＞4.79 mmol/L ); 4. 1hPG_M (Mean 1hPG
 value:8.26 mmol/L,1="≤8.26 mmol/L"；2= “＞8.26 mmol/L”); 5\)2hPG_M
 (Mean 2hPG value:7.11 mmol/L,1="≤7.11 mmol/L"；2= “＞7.11 mmol/L”
 ); 6\)HbA1c_M (Mean HbA1c(%) value:5.20%,1="≤5.20%"；2= “＞5.20%”
 ); 5. TG_M (Mean TG value:2.54 mmol/L,1="≤2.54 mmol/L"；2= “＞2.54
 mmol/L”); (4)NA: missing value