PMID- 22535968
OWN - NLM
STAT- MEDLINE
DCOM- 20120926
LR  - 20191210
IS  - 1945-7197 (Electronic)
IS  - 0021-972X (Linking)
VI  - 97
IP  - 7
DP  - 2012 Jul
TI  - Current genetic data do not improve the prediction of type 2 diabetes mellitus: 
      the CoLaus study.
PG  - E1338-41
LID - 10.1210/jc.2011-3412 [doi]
AB  - 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.
FAU - Schmid, Remy
AU  - Schmid R
AD  - Institut Universitaire de Medecine Sociale et Preventive, Route de la Corniche 
      10, 1010 Lausanne Switzerland.
FAU - Vollenweider, Peter
AU  - Vollenweider P
FAU - Bastardot, Francois
AU  - Bastardot F
FAU - Vaucher, Julien
AU  - Vaucher J
FAU - Waeber, Gerard
AU  - Waeber G
FAU - Marques-Vidal, Pedro
AU  - Marques-Vidal P
LA  - eng
PT  - Evaluation Study
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20120424
PL  - United States
TA  - J Clin Endocrinol Metab
JT  - The Journal of clinical endocrinology and metabolism
JID - 0375362
SB  - IM
MH  - Adult
MH  - Data Interpretation, Statistical
MH  - Databases, Genetic/statistics & numerical data/trends
MH  - Diabetes Mellitus, Type 2/*diagnosis/epidemiology/etiology/*genetics
MH  - Female
MH  - Follow-Up Studies
MH  - *Genetic Predisposition to Disease
MH  - *Genetics, Population/statistics & numerical data/trends
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - Prognosis
MH  - Research Design
MH  - Risk Factors
MH  - Validation Studies as Topic
EDAT- 2012/04/27 06:00
MHDA- 2012/09/27 06:00
CRDT- 2012/04/27 06:00
PHST- 2012/04/27 06:00 [entrez]
PHST- 2012/04/27 06:00 [pubmed]
PHST- 2012/09/27 06:00 [medline]
AID - jc.2011-3412 [pii]
AID - 10.1210/jc.2011-3412 [doi]
PST - ppublish
SO  - J Clin Endocrinol Metab. 2012 Jul;97(7):E1338-41. doi: 10.1210/jc.2011-3412. Epub 
      2012 Apr 24.