Using the optimal receiver operating characteristic curve to design a predictive genetic test, exemplified with type 2 diabetes.

ABSTRACT: Current extensive genetic research into common complex diseases, especially with the completion of genome-wide association studies, is bringing to light many novel genetic risk loci. These new discoveries, along with previously known genetic risk variants, offer an important opportunity for researchers to improve health care. We describe a method of quick evaluation of these new findings for potential clinical practice by designing a new predictive genetic test, estimating its classification accuracy, and determining the sample size required for the verification of this accuracy. The proposed predictive test is asymptotically more powerful than tests built on any other existing method and can be extended to scenarios where loci are linked or interact. We illustrate the approach for the cas

SUBMITTER: Lu Q 

PROVIDER: S-EPMC2664997 | biostudies-literature | 2008 Mar

REPOSITORIES: biostudies-literature