AUTHOR=Arabnejad Marziyeh , Montgomery Courtney G. , Gaffney Patrick M. , McKinney Brett A. 

TITLE=Nearest-Neighbor Projected Distance Regression for Epistasis Detection in GWAS With Population Structure Correction

JOURNAL=Frontiers in Genetics

VOLUME=11

YEAR=2020

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2020.00784

DOI=10.3389/fgene.2020.00784

ISSN=1664-8021

ABSTRACT=<p>Nearest-neighbor Projected-Distance Regression (NPDR) is a feature selection technique that uses nearest-neighbors in high dimensional data to detect complex multivariate effects including epistasis. NPDR uses a regression formalism that allows statistical significance testing and efficient control for multiple testing. In addition, the regression formalism provides a mechanism for NPDR to adjust for population structure, which we apply to a GWAS of systemic lupus erythematosus (SLE). We also test NPDR on benchmark simulated genetic variant data with epistatic effects, main effects, imbalanced data for case-control design and continuous outcomes. NPDR identifies potential interactions in an epistasis network that influences the SLE disorder.</p>