Discovering Genetic Interactions in Large-Scale Association Studies by Stage-wise Likelihood Ratio Tests.

ABSTRACT: Despite the success of genome-wide association studies in medical genetics, the underlying genetics of many complex diseases remains enigmatic. One plausible reason for this could be the failure to account for the presence of genetic interactions in current analyses. Exhaustive investigations of interactions are typically infeasible because the vast number of possible interactions impose hard statistical and computational challenges. There is, therefore, a need for computationally efficient methods that build on models appropriately capturing interaction. We introduce a new methodology where we augment the interaction hypothesis with a set of simpler hypotheses that are tested, in order of their complexity, against a saturated alternative hypothesis representing interaction. This sequentia

SUBMITTER: Franberg M 

PROVIDER: S-EPMC4581725 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature