Common Type 2 Diabetes Genetic Risk Variants Improve the Prediction of Gestational Diabetes.

08:00 EDT 12th July 2019 | BioPortfolio

Summary of "Common Type 2 Diabetes Genetic Risk Variants Improve the Prediction of Gestational Diabetes."

Gestational diabetes mellitus (GDM) is a carbohydrate intolerance that occurs in women during pregnancy. The aims of this study were to develop a model to predict the risk of GDM development using common clinical parameters and selected genetic polymorphisms and to analyse the performance of the model using receiver operator characteristic (ROC) curves. ROC analysis was used to examine whether the evaluation of genetic polymorphisms may enhance the accuracy of GDM prediction in comparison to using common clinical risk factors only. This study included 204 pregnant women with GDM and 207 pregnant women with normal glucose tolerance. The diagnosis of GDM was based on a 75 g oral glucose tolerance test at 24-28 weeks gestation. The difference between the AUC of ROC curves for the model 1 including only age and BMI and the model 2 also including 8 genetic polymorphisms was highly significant (p=0.0001) in favour of model 2 (0.090±0.023). Moreover, the additional use of 8 genetic polymorphisms may increase both the sensitivity and specificity of GDM prediction by 10%. The results of this study indicate that the use of 8 genetic polymorphisms associated with carbohydrate and lipid metabolism and type 2 diabetes [ () rs6681231, rs174550, rs4430796, rs266729, rs187238, rs1024611, rs5015480 and rs10811661] together with clinical risk factors (BMI and age) may significantly improve the prediction of GDM.


Journal Details

This article was published in the following journal.

Name: Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme
ISSN: 1439-4286


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