Use of multiple metabolic and genetic markers to improve the prediction of type 2 diabetes: the EPIC-Potsdam study
| Autor: | Matthias B. Schulze, Hans-Georg Joost, Hadi Al-Hasani, Cornelia Weikert, Tobias Pischon, Erwin Schleicher, Manuela M. Bergmann, Hans-Ulrich Häring, Heiner Boeing, Andreas Fritsche |
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| Předmět: |
Oncology
Research design Blood Glucose Genetic Markers medicine.medical_specialty Cardiovascular and Metabolic Risk Genotype Endocrinology Diabetes and Metabolism Single-nucleotide polymorphism Type 2 diabetes Polymorphism Single Nucleotide Risk Assessment Cohort Studies Predictive Value of Tests Internal medicine Diabetes mellitus Germany Internal Medicine Medicine Humans Prospective Studies Prospective cohort study Genotyping Original Research Advanced and Specialized Nursing Glycated Hemoglobin business.industry Cholesterol HDL Alanine Transaminase gamma-Glutamyltransferase Anthropometry medicine.disease Endocrinology Diabetes Mellitus Type 2 ROC Curve Area Under Curve Case-Control Studies Cohort business Biomarkers |
| Zdroj: | Web of Science Diabetes Care |
| Popis: | OBJECTIVE We investigated whether metabolic biomarkers and single nucleotide polymorphisms (SNPs) improve diabetes prediction beyond age, anthropometry, and lifestyle risk factors. RESEARCH DESIGN AND METHODS A case-cohort study within a prospective study was designed. We randomly selected a subcohort (n = 2,500) from 26,444 participants, of whom 1,962 were diabetes free at baseline. Of the 801 incident type 2 diabetes cases identified in the cohort during 7 years of follow-up, 579 remained for analyses after exclusions. Prediction models were compared by receiver operatoring characteristic (ROC) curve and integrated discrimination improvement. RESULTS Case-control discrimination by the lifestyle characteristics (ROC-AUC: 0.8465) improved with plasma glucose (ROC-AUC: 0.8672, P < 0.001) and A1C (ROC-AUC: 0.8859, P < 0.001). ROC-AUC further improved with HDL cholesterol, triglycerides, γ-glutamyltransferase, and alanine aminotransferase (0.9000, P = 0.002). Twenty SNPs did not improve discrimination beyond these characteristics (P = 0.69). CONCLUSIONS Metabolic markers, but not genotyping for 20 diabetogenic SNPs, improve discrimination of incident type 2 diabetes beyond lifestyle risk factors. |
| Databáze: | OpenAIRE |
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