Analyzing High-Order Epistasis from Genotype-Phenotype Maps Using ‘Epistasis’ Package

Junyi Chen, Ka-Chun Wong*

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 12 - Chapter in an edited book (Author)peer-review

Abstract

Epistasis is the phenomenon about the interactions between genes, leading to complex phenotypic effects. The interactions between three or more mutations called “high-order epistasis” aroused significant interests in recent studies. However, there are still debates for analysis of high-order epistasis due to the non-linear model complexity and statistical artifacts. A recent “epistasis” Python package was therefore developed to characterize high-order epistasis by estimating non-linear scaling for mutation effects to extract high-order epistasis using linear models. This method successfully discovered statistically significant high-order epistasis on several real genotype-phenotype maps. We provided a concise and step-by-step guide to apply the “epistasis” by reproducing the high-order epistasis discoveries on real genotype-phenotype data using the latest API of the package.
Original languageEnglish
Title of host publicationEpistasis
Subtitle of host publicationMethods and Protocols
EditorsKa-Chun Wong
Place of PublicationNew York, NY
PublisherHumana Press
Pages265-275
ISBN (Electronic)9781071609477
ISBN (Print)9781071609460, 9781071609491
DOIs
Publication statusPublished - 2021

Publication series

NameMethods in Molecular Biology
Volume2212
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Research Keywords

  • Epistasis
  • Genotype-phenotype
  • High-order

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