Data from: Genetic variants and clinical indicators used to build nomogram model
Data files
Jul 24, 2024 version files 119.21 KB
Abstract
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.
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>T, rs9283638 C>T, rs1742473 T>C, rs6798181 T>C, rs796749 C>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>T: 1=GG genotype; 2=GT genotype;3=TT genotype
2)rs9283638 C>T: 1=CC genotype; 2=CT genotype;3=TT genotype
3)rs1742473 T>C: 1=TT genotype; 2=TC genotype;3=CC genotype
4) rs6798181 T>C: 1=TT genotype; 2=TC genotype;3=CC genotype
5)rs796749 C>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
- SBP_M (Mean SBP value:110.08 mmHg,1="≤110.08 mmHg"；2= “＞110.08 mmHg” );
- DBP_M (Mean DBP value:69.53 mmHg,1="≤69.53 mmHg"；2= “＞69.53 mmHg );
- FPG_M (Mean FPG value:4.79 mmol/L,1="≤4.79 mmol/L"；2= “＞4.79 mmol/L );
- 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%” ); - TG_M (Mean TG value:2.54 mmol/L,1="≤2.54 mmol/L"；2= “＞2.54 mmol/L”);
(4)NA: missing value