DOI: 10.5061/dryad.j3tx95xt5
title: Data from: Genetic variants in HLA-DQA1/DQB1 genes modulate the risk of gestational diabetes mellitus in a southern Chinese population

description: Background: Gestational diabetes mellitus (GDM) is an endocrine disorder
 that occurs easily in women during pregnancy. HLA-DQA1/DQB1 genes play a
 crucial role in the regulation of the human immune and endocrine systems,
 potentially influencing the pathogenesis of GDM. Objective: To explore the
 associations between single nucleotide polymorphisms (SNPs) in
 HLA-DQA1/DQB1 genes and the risk of GDM.
description: Seven functional SNPs of <em>HLA-DQA1/DQB1</em> genes
 were selected and genotyped in 523 GDM patients and 638 normal pregnant
 women. The odds ratio (OR) and its corresponding 95% confidence interval
 (CI) were utilized to assess the association between candidate SNPs and
 the risk of GDM. And then, false positive report probability (FPRP),
 multifactor dimensionality reduction (MDR) and haplotype analysis were
 employed to validate the statistically significant associations between
 studied SNPs and GDM risk.
description: Data from: Genetic variants in HLA-DQA1/DQB1 genes modulate the risk of
 gestational diabetes mellitus in a southern Chinese population
 Descriptions ============ This dataset includes 523 gestational diabetes
 mellitus (GDM) patients and 638 healthy pregnancies’ baseline information
 obtained from a unique questionnaire and medical records, and the genetic
 loci were genotyped by the Sequenom MassARRAY platform. Evaluate the
 relationship between certain genetic variations and the risk of GDM by
 integrating clinical, biochemical, and genetic data. Subjects’ baseline
 data involve age, pre-BMI, systolic blood pressure (SBP, mmHg), diastolic
 blood pressure (DBP, mmHg), 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), 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, %). The data of genetic polymorphism
 include rs1391371 A&gt;T, rs9272425 T&gt;C, rs9272426 A&gt;G, rs9272460
 A&gt;G, rs9273368 A&gt;G, rs9273505 C&gt;,T and rs9274666 A&gt;G and their
 corresponding dominant and recessive genetic model. The meaning of the
 different assignments in the dataset： (1)Group: 1=Control group; 2=GDM
 (2)Sample ID: Identification number of test sample (3)Variants and
 genotypes assignment 1. rs1391371 A&gt;T: 1=AA genotype; 2=AT
 genotype;3=TT genotype 2. rs9272425 T&gt;C: 1=TT genotype; 2=TC
 genotype;3=CC genotype 3. rs9272426 A&gt;G: 1=AA genotype; 2=AG
 genotype;3=GG genotype 4. rs9272460 A&gt;G: 1=AA genotype; 2=AG
 genotype;3=GG genotype 5. rs9273368 A&gt;G: 1=AA genotype; 2=AG
 genotype;3=GG genotype 6. rs9273505 C&gt;T: 1=CC genotype; 2=CT
 genotype;3=TT genotype 7. rs9274666 A&gt;G: 1=AA genotype; 2=AG
 genotype;3=GG genotype 8. rs1391371 Dominant model (AT/TT vs. AA): 1=AA
 genotype; 4=AT/TT genotypes 9. rs9272425 Dominant model (TC/CC vs. TT):
 1=TT genotype; 4=TC/CC genotypes 10. rs9272426 Dominant model (AG/GG vs.
 AA): 1=AA genotype; 4=AG/GG genotypes 11. rs9272460 Dominant model (AG/GG
 vs. AA): 1=GG genotype; 4=AG/GG genotypes 12. rs9273368 Dominant model
 (AG/GG vs. AA): 1=AA genotype; 4=AG/GG genotypes 13. rs9273505 Dominant
 model (CT/TT vs. CC): 1=CC genotype; 4=CT/TT genotypes 14. rs9274666
 Dominant model (AG/GG vs. AA): 1=AA genotype; 4=AG/GG genotypes 15.
 rs1391371 Recessive model (TT vs. AA/AT): 3=TT genotype; 5=AA/AT genotypes
 16. rs9272425 Recessive model (CC vs. TT/TC): 3=CC genotype; 5=TT/TC
 genotypes 17. rs9272426 Recessive model (GG vs. AA/AG): 3=GG genotype;
 5=AA/AG genotypes 18. rs9272460 Recessive model (GG vs. AA/AG): 3=GG
 genotype; 5=AA/AG genotypes 19. rs9273368 Recessive model (GG vs. AA/AG):
 3=GG genotype; 5=AA/AG genotypes 20. rs9273505 Recessive model (TT vs.
 CC/CT): 3=TT genotype; 5=CC/CT genotypes 21. rs9274666 Recessive model (GG
 vs. AA/AG): 3=GG genotype; 5=AA/AG genotypes (4)Number of risk genotypes:
 Cumulative number of dangerous genotypes in the test samples (4)Variables
 for stratification analysis 22. Age_M (Mean Age value:30.04
 mmHg,1="≤30.04 years old"；2= “＞30.04 years old” ); 23. pre-BMI_M
 (Mean pre-BMI value:22.2 kg/m2),1="≤22.2 kg/m2"；2= “＞22.2
 kg/m2" ); 24. SBP_M (Mean SBP value:110.03 mmHg,1="≤110.03
 mmHg"；2= “＞110.03mmHg” ); 25. DBP_M (Mean DBP value:69.44
 mmHg,1="≤69.44 mmHg"；2= “＞69.44 mmHg ); 26. TG_M (Mean TG
 value:2.53 mmol/L,1="≤2.53 mmol/L"；2= “＞2.53 mmol/L”); 27. TC_M
 (Mean TG value:5.33 mmol/L,1="≤5.33 mmol/L"；2= “＞5.33 mmol/L”);
 28. HDL-c_M (Mean TG value:1.65 mmol/L,1="≤1.65 mmol/L"；2=
 “＞1.65 mmol/L”); (5)NA: missing value Detailed data can be found in the
 table file: Data_from__Genetic_variants_in_HLA-DQA1_DQB1_genes.xlsx ##
 Human subjects data All participants were provided written informed
 consent. The personal identity information data of the subjects have all
 been anonymized.