A comprehensive genetic approach for improving prediction of skin cancer risk in humans.

ABSTRACT: Prediction of genetic risk for disease is needed for preventive and personalized medicine. Genome-wide association studies have found unprecedented numbers of variants associated with complex human traits and diseases. However, these variants explain only a small proportion of genetic risk. Mounting evidence suggests that many traits, relevant to public health, are affected by large numbers of small-effect genes and that prediction of genetic risk to those traits and diseases could be improved by incorporating large numbers of markers into whole-genome prediction (WGP) models. We developed a WGP model incorporating thousands of markers for prediction of skin cancer risk in humans. We also considered other ways of incorporating genetic information into prediction models, such as family hist

SUBMITTER: Vazquez AI 

PROVIDER: S-EPMC3512154 | biostudies-literature | 2012 Dec

REPOSITORIES: biostudies-literature