Fast and general tests of genetic interaction for genome-wide association studies.

ABSTRACT: A complex disease has, by definition, multiple genetic causes. In theory, these causes could be identified individually, but their identification will likely benefit from informed use of anticipated interactions between causes. In addition, characterizing and understanding interactions must be considered key to revealing the etiology of any complex disease. Large-scale collaborative efforts are now paving the way for comprehensive studies of interaction. As a consequence, there is a need for methods with a computational efficiency sufficient for modern data sets as well as for improvements of statistical accuracy and power. Another issue is that, currently, the relation between different methods for interaction inference is in many cases not transparent, complicating the comparison and int

SUBMITTER: Franberg M 

PROVIDER: S-EPMC5478145 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature