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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Current Protocols in...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Current Protocols in Human Genetics
Article . 2017 . Peer-reviewed
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Analysis of Gene‐Gene Interactions

Authors: Brian S, Cole; Molly A, Hall; Ryan J, Urbanowicz; Diane, Gilbert-Diamond; Jason H, Moore;

Analysis of Gene‐Gene Interactions

Abstract

AbstractThe goal of this unit is to introduce epistasis, or gene‐gene interactions, as a significant contributor to the genetic architecture of complex traits, including disease susceptibility. This unit begins with an historical overview of the concept of epistasis and the challenges inherent in the identification of potential gene‐gene interactions. Then, it reviews statistical and machine learning methods for discovering epistasis in the context of genetic studies of quantitative and categorical traits. This unit concludes with a discussion of meta‐analysis, replication, and other topics of active research. © 2017 by John Wiley & Sons, Inc.

Related Organizations
Keywords

Machine Learning, Models, Statistical, Gene Expression Regulation, Animals, Humans, Epistasis, Genetic, Genetic Predisposition to Disease, Genomics, Algorithms, Genetic Association Studies

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
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