An ensemble-based likelihood ratio approach for family-based genomic risk prediction.

ABSTRACT:

Objective

As one of the most popular designs used in genetic research, family-based design has been well recognized for its advantages, such as robustness against population stratification and admixture. With vast amounts of genetic data collected from family-based studies, there is a great interest in studying the role of genetic markers from the aspect of risk prediction. This study aims to develop a new statistical approach for family-based risk prediction analysis with an improved prediction accuracy compared with existing methods based on family history.

Methods

In this study, we propose an ensemble-based likelihood ratio (ELR) approach, Fam-ELR, for family-based genomic risk prediction. Fam-ELR incorporates a clustered receiver operating characteristic (ROC) curve meth

SUBMITTER: An H 

PROVIDER: S-EPMC6305257 | biostudies-literature | 2018 Dec.

REPOSITORIES: biostudies-literature