Fast and accurate exhaustive higher-order epistasis search with BitEpi

Abstract Complex 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 in...

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Autores principales: Arash Bayat, Brendan Hosking, Yatish Jain, Cameron Hosking, Milindi Kodikara, Daniel Reti, Natalie A. Twine, Denis C. Bauer
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/820c98a27dfb45869dc930045658a0cc
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spelling oai:doaj.org-article:820c98a27dfb45869dc930045658a0cc2021-12-02T17:06:32ZFast and accurate exhaustive higher-order epistasis search with BitEpi10.1038/s41598-021-94959-y2045-2322https://doaj.org/article/820c98a27dfb45869dc930045658a0cc2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94959-yhttps://doaj.org/toc/2045-2322Abstract Complex 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. In 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 1.7 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 4900 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.Arash BayatBrendan HoskingYatish JainCameron HoskingMilindi KodikaraDaniel RetiNatalie A. TwineDenis C. BauerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Arash Bayat
Brendan Hosking
Yatish Jain
Cameron Hosking
Milindi Kodikara
Daniel Reti
Natalie A. Twine
Denis C. Bauer
Fast and accurate exhaustive higher-order epistasis search with BitEpi
description Abstract Complex 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. In 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 1.7 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 4900 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.
format article
author Arash Bayat
Brendan Hosking
Yatish Jain
Cameron Hosking
Milindi Kodikara
Daniel Reti
Natalie A. Twine
Denis C. Bauer
author_facet Arash Bayat
Brendan Hosking
Yatish Jain
Cameron Hosking
Milindi Kodikara
Daniel Reti
Natalie A. Twine
Denis C. Bauer
author_sort Arash Bayat
title Fast and accurate exhaustive higher-order epistasis search with BitEpi
title_short Fast and accurate exhaustive higher-order epistasis search with BitEpi
title_full Fast and accurate exhaustive higher-order epistasis search with BitEpi
title_fullStr Fast and accurate exhaustive higher-order epistasis search with BitEpi
title_full_unstemmed Fast and accurate exhaustive higher-order epistasis search with BitEpi
title_sort fast and accurate exhaustive higher-order epistasis search with bitepi
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/820c98a27dfb45869dc930045658a0cc
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