Interpretation of genetic association studies: markers with replicated highly significant odds ratios may be poor classifiers.

ABSTRACT: Recent successful discoveries of potentially causal single nucleotide polymorphisms (SNPs) for complex diseases hold great promise, and commercialization of genomics in personalized medicine has already begun. The hope is that genetic testing will benefit patients and their families, and encourage positive lifestyle changes and guide clinical decisions. However, for many complex diseases, it is arguable whether the era of genomics in personalized medicine is here yet. We focus on the clinical validity of genetic testing with an emphasis on two popular statistical methods for evaluating markers. The two methods, logistic regression and receiver operating characteristic (ROC) curve analysis, are applied to our age-related macular degeneration dataset. By using an additive model of the CFH, L

SUBMITTER: Jakobsdottir J 

PROVIDER: S-EPMC2629574 | biostudies-literature | 2009 Feb

REPOSITORIES: biostudies-literature