Evaluation of genetic risk score models in the presence of interaction and linkage disequilibrium.

ABSTRACT: In the area of genetic epidemiology, genetic risk predictive modeling is becoming an important area of translational success. As an increasing number of genetic variants are successfully discovered, the use of multiple genetic variants in constructing a genetic risk score (GRS) for modeling has been widely applied using a variety of approaches. Previously, we compared the performance of a simple, additive GRS with weighted GRS approaches, but our initial simulation experiment assumed very simple models without many of the complications found in real genetic studies. In particular, interactions between variants and linkage disequilibrium (LD) (indirect mapping) remain important and challenging problems for GRS modeling. In the present study, we applied two simulation strategies to mimic var

SUBMITTER: Che R 

PROVIDER: S-EPMC3719135 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature