Maximal Information Coefficient-Based Testing to Identify Epistasis in Case-Control Association Studies.

ABSTRACT: Interactions between genetic variants (epistasis) are ubiquitous in the model system and can significantly affect evolutionary adaptation, genetic mapping, and precision medical efforts. In this paper, we proposed a method for epistasis detection, called EpiMIC (epistasis detection through a maximal information coefficient (MIC)). MIC is a promising bivariate dependence measure explicitly designed for rapidly exploring various function types equally and for interpreting and comparing them on the same scale. Most epistasis detection approaches make assumptions about the form of the association between genetic variants, resulting in limited statistical performance. Based on the notion that if two SNPs do not interact, their joint distribution in all samples and in only cases should not be su

SUBMITTER: Guo Y 

PROVIDER: S-EPMC8863443 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature