Predicting Type 2 Diabetes Based on Polymorphisms From Genome-Wide Association Studies : A Population-Based Study

A. C. J.W. Janssens; A. Dehghan; A. G. Uitterlinden; A. Hofman; Alberti; B. A. Oostra; C. M. van Duijn; E. J.G. Sijbrands; Fang; Faresjo; Frayling; Gudmundsson; Hanley; Hanley; Hofman; Holtzman; J. C.M. Witteman; Janssens; Janssens; Janssens; Lyssenko; M. van Hoek; Sandhu; Stumvoll; The Expert Committee on the Diagnosis and Classifi; Weedon; Yang

Predicting Type 2 Diabetes Based on Polymorphisms From Genome-Wide Association Studies : A Population-Based Study

Authors: A. C. J.W. Janssens
A. Dehghan
A. G. Uitterlinden
A. Hofman
Alberti
B. A. Oostra
C. M. van Duijn
E. J.G. Sijbrands
Fang
Faresjo
Frayling
Gudmundsson
Hanley
Hanley
Hofman
Holtzman
J. C.M. Witteman
Janssens
Janssens
Janssens
Lyssenko
M. van Hoek
Sandhu
Stumvoll
The Expert Committee on the Diagnosis and Classifi
Weedon
Yang
Publication date: 1 November 2008
Publisher: American Diabetes Association
Doi

Abstract

OBJECTIVE—Prediction of type 2 diabetes based on genetic testing might improve identification of high-risk subjects. Genome-wide association (GWA) studies identified multiple new genetic variants that associate with type 2 diabetes. The predictive value of genetic testing for prediction of type 2 diabetes in the general population is unclear

Similar works

Full text

Open in the Core reader

Download PDF

Available Versions

Crossref

Last time updated on 19/02/2019