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

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NIAID Data Ecosystem2026-05-02 收录
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http://datadryad.org/dataset/doi%253A10.5061%252Fdryad.rv15dv4j7
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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.

本数据集收录了538例妊娠糖尿病(gestational diabetes mellitus, GDM)患者与626例健康妊娠个体的基线信息,相关数据来源于专属问卷与医疗记录,且通过Sequenom MassARRAY平台完成了遗传位点的基因分型。 基于与GDM存在统计学关联的临床指标与遗传变异,构建了列线图(nomogram)预测模型。该模型以各指标的回归系数(β)为依据制定评分标准:为每个指标的不同层级赋予特定分值,将所有因素的分值求和即可得到总得分,该总得分可用于预测GDM的发生概率。 受试者基线数据涵盖收缩压(systolic blood pressure, SBP,单位:mmHg)、舒张压(diastolic blood pressure, DBP,单位:mmHg)、空腹血浆葡萄糖(fasting plasma glucose, FPG,单位:mmol/L)、口服葡萄糖耐量试验1小时血浆葡萄糖(1hPG,单位:mmol/L)、口服葡萄糖耐量试验2小时血浆葡萄糖(2hPG,单位:mmol/L)、糖化血红蛋白(glycated hemoglobin, HbA1c,单位:%)、甘油三酯(triglyceride, TG,单位:mmol/L)、总胆固醇(total cholesterol, TC,单位:mmol/L)、高密度脂蛋白胆固醇(high-density lipoprotein cholesterol, HDL-c,单位:mmol/L)以及低密度脂蛋白胆固醇(low-density lipoprotein cholesterol, LDL-c,单位:mmol/L)。 遗传多态性数据包含rs4134819 C>T、rs720918 A>G、rs2034410 T>C、rs11109509 A>G、rs12524768 G>A这5个遗传位点及其对应的显性、隐性遗传模型。
创建时间:
2024-12-07
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