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...
Guardado en:
Autores principales: | , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/820c98a27dfb45869dc930045658a0cc |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:820c98a27dfb45869dc930045658a0cc |
---|---|
record_format |
dspace |
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 |
work_keys_str_mv |
AT arashbayat fastandaccurateexhaustivehigherorderepistasissearchwithbitepi AT brendanhosking fastandaccurateexhaustivehigherorderepistasissearchwithbitepi AT yatishjain fastandaccurateexhaustivehigherorderepistasissearchwithbitepi AT cameronhosking fastandaccurateexhaustivehigherorderepistasissearchwithbitepi AT milindikodikara fastandaccurateexhaustivehigherorderepistasissearchwithbitepi AT danielreti fastandaccurateexhaustivehigherorderepistasissearchwithbitepi AT natalieatwine fastandaccurateexhaustivehigherorderepistasissearchwithbitepi AT deniscbauer fastandaccurateexhaustivehigherorderepistasissearchwithbitepi |
_version_ |
1718381563160297472 |