title: Current genetic data do not improve the prediction of type 2 diabetes mellitus: the CoLaus study.
abstract: BACKGROUND
  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.
  
  
  METHODS
  This was a prospective study, with a mean follow-up time of 5 yr.
  
  
  METHODS
  The study included 2824 nondiabetic participants (1548 women, 52 ± 10 yr).
  
  
  METHODS
  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.
authors.affiliation: Institut Universitaire de Médecine Sociale et Préventive, Route de la Corniche 10, 1010 Lausanne Switzerland.
authors.forename: Rémy
authors.initials: R
authors.lastname: Schmid
authors.forename: Peter
authors.initials: P
authors.lastname: Vollenweider
authors.forename: François
authors.initials: F
authors.lastname: Bastardot
authors.forename: Julien
authors.initials: J
authors.lastname: Vaucher
authors.forename: Gérard
authors.initials: G
authors.lastname: Waeber
authors.forename: Pedro
authors.initials: P
authors.lastname: Marques-Vidal
mesh_terms: D000328:Adult; D003627:Data Interpretation, Statistical; D030541:Databases, Genetic / Q000706:statistics & numerical data / Q000639:trends; D003924:Diabetes Mellitus, Type 2 / Q000175:diagnosis* / Q000453:epidemiology / Q000209:etiology / Q000235:genetics*; D005260:Female; D005500:Follow-Up Studies; D020022:Genetic Predisposition to Disease; D005828:Genetics, Population / Q000706:statistics & numerical data / Q000639:trends; D006801:Humans; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D012107:Research Design; D012307:Risk Factors; D054928:Validation Studies as Topic