A multiclass likelihood ratio approach for genetic risk prediction allowing for phenotypic heterogeneity.

ABSTRACT: The translation of human genome discoveries into health practice is one of the major challenges in the coming decades. The use of emerging genetic knowledge for early disease prediction, prevention, and pharmacogenetics will advance genome medicine and lead to more effective prevention/treatment strategies. For this reason, studies to assess the combined role of genetic and environmental discoveries in early disease prediction represent high priority research projects, as manifested in the multiple risk prediction studies now underway. However, the risk prediction models formed to date lack sufficient accuracy for clinical use. Converging evidence suggests that diseases with the same or similar clinical manifestations could have different pathophysiological and etiological processes. When

SUBMITTER: Wen Y 

PROVIDER: S-EPMC3917316 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature