GenEpi: gene-based epistasis discovery using machine learning.

ABSTRACT:

Background

Genome-wide association studies (GWAS) provide a powerful means to identify associations between genetic variants and phenotypes. However, GWAS techniques for detecting epistasis, the interactions between genetic variants associated with phenotypes, are still limited. We believe that developing an efficient and effective GWAS method to detect epistasis will be a key for discovering sophisticated pathogenesis, which is especially important for complex diseases such as Alzheimer's disease (AD).

Results

In this regard, this study presents GenEpi, a computational package to uncover epistasis associated with phenotypes by the proposed machine learning approach. GenEpi identifies both within-gene and cross-gene epistasis through a two-stage modeling workflow. In both st

SUBMITTER: Chang YC 

PROVIDER: S-EPMC7041299 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature