Current genetic data do not improve the prediction of type 2 diabetes mellitus: the CoLaus study.

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Serval ID
serval:BIB_2EB6C0E70291
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Current genetic data do not improve the prediction of type 2 diabetes mellitus: the CoLaus study.
Journal
Journal of Clinical Endocrinology and Metabolism
Author(s)
Schmid R., Vollenweider P., Bastardot F., Vaucher J., Waeber G., Marques-Vidal P.
ISSN
1945-7197 (Electronic)
ISSN-L
0021-972X
Publication state
Published
Issued date
2012
Peer-reviewed
Oui
Volume
97
Number
7
Pages
E1338-E1341
Language
english
Notes
Publication types: Evaluation Studies ; Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
CONTEXT: Several genetic risk scores to identify asymptomatic subjects at high risk of developing type 2 diabetes mellitus (T2DM) have been proposed, but it is unclear whether they add extra information to risk scores based on clinical and biological data.
OBJECTIVE: The objective of the study was to assess the extra clinical value of genetic risk scores in predicting the occurrence of T2DM.
DESIGN: This was a prospective study, with a mean follow-up time of 5 yr.
SETTING AND SUBJECTS: The study included 2824 nondiabetic participants (1548 women, 52 ± 10 yr).
MAIN OUTCOME MEASURE: Six genetic risk scores for T2DM were tested. Four were derived from the literature and two were created combining all (n = 24) or shared (n = 9) single-nucleotide polymorphisms of the previous scores. A previously validated clinic + biological risk score for T2DM was used as reference.
RESULTS: Two hundred seven participants (7.3%) developed T2DM during follow-up. On bivariate analysis, no differences were found for all but one genetic score between nondiabetic and diabetic participants. After adjusting for the validated clinic + biological risk score, none of the genetic scores improved discrimination, as assessed by changes in the area under the receiver-operating characteristic curve (range -0.4 to -0.1%), sensitivity (-2.9 to -1.0%), specificity (0.0-0.1%), and positive (-6.6 to +0.7%) and negative (-0.2 to 0.0%) predictive values. Similarly, no improvement in T2DM risk prediction was found: net reclassification index ranging from -5.3 to -1.6% and nonsignificant (P ≥ 0.49) integrated discrimination improvement.
CONCLUSIONS: In this study, adding genetic information to a previously validated clinic + biological score does not seem to improve the prediction of T2DM.
Keywords
Adult, Data Interpretation, Statistical, Databases, Genetic/statistics & numerical data, Databases, Genetic/trends, Diabetes Mellitus, Type 2/diagnosis, Diabetes Mellitus, Type 2/epidemiology, Female, Follow-Up Studies, Genetic Predisposition to Disease, Genetics, Population/statistics & numerical data, Genetics, Population/trends, Humans, Male, Middle Aged, Prognosis, Research Design, Risk Factors, Validation Studies as Topic
Pubmed
Web of science
Open Access
Yes
Create date
02/05/2012 14:34
Last modification date
23/06/2020 5:21
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