Using the optimal robust receiver operating characteristic (ROC) curve for predictive genetic tests.

ABSTRACT: Current ongoing genome-wide association (GWA) studies represent a powerful approach to uncover common unknown genetic variants causing common complex diseases. The discovery of these genetic variants offers an important opportunity for early disease prediction, prevention, and individualized treatment. We describe here a method of combining multiple genetic variants for early disease prediction, based on the optimality theory of the likelihood ratio (LR). Such theory simply shows that the receiver operating characteristic (ROC) curve based on the LR has maximum performance at each cutoff point and that the area under the ROC curve so obtained is highest among that of all approaches. Through simulations and a real data application, we compared it with the commonly used logistic regression a

SUBMITTER: Lu Q 

PROVIDER: S-EPMC3039874 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature