Use of multiple metabolic and genetic markers to improve the prediction of type 2 diabetes: the EPIC-Potsdam Study
MB Schulze, C Weikert, T Pischon… - Diabetes …, 2009 - Am Diabetes Assoc
Diabetes care, 2009•Am Diabetes Assoc
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 …
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 …
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.
Am Diabetes Assoc