Sign in
BioinformaticsScientific Reports
Peer-reviewed journal article

BitEpi: A Fast and Accurate Exhaustive Higher-Order Epistasis Search

Arash BayatiD, Brendan HoskingiD, Yatish JainiD, Cameron HoskingiD, Milindi KodikaraiD, Daniel RetiiD, Natalie A. TwineiD, Denis C. BaueriD

Abstract

MotivationComplex genetic diseases may be modulated by a large number of epistatic interactions affecting a polygenic phenotype. Identifying these interactions is difficult due to computational complexity, especially in the case of higher-order interactions where more than two genomic variants are involved. ResultsIn this paper, we present BitEpi, a fast and accurate method to test all possible combinations of up to four bi-allelic variants (i.e. Single Nucleotide Variant or SNV for short). BitEpi introduces a novel bitwise algorithm that is 2.1 and 56 times faster for 3-SNV and 4-SNV search, than established software. The novel entropy statistic used in BitEpi is 44% more accurate to identify interactive SNVs, incorporating a p-value-based significance testing. We demonstrate BitEpi on real world data of 4,900 samples and 87,000 SNPs. We also present EpiExplorer to visualize the potentially large number of individual and interacting SNVs in an interactive Cytoscape graph. EpiExplorer uses various visual elements to facilitate the discovery of true biological events in a complex polygenic environment.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
18
FWCI
2.26
Field percentile
top 11%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISHoffmann '24Behr '24Duroux '22Crawford '17Slim '20Patil '25
65% semantic matchGenetic & Genomic Medicine
Markus Hoffmann, Julian Poschenrieder, Massimiliano Incudini+45 more·Nucleic Acids Research·Aug 23, 2024· 21 citations