Literature DB >> 20196744

Epistatic interactions.

Tyler J VanderWeele1.   

Abstract

The term "epistasis" is sometimes used to describe some form of statistical interaction between genetic factors and is alternatively sometimes used to describe instances in which the effect of a particular genetic variant is masked by a variant at another locus. In general statistical tests for interaction are of limited use in detecting "epistasis" in the sense of masking. It is, however, shown that there are relations between empirical data patterns and epistasis that have not been previously noted. These relations can sometimes be exploited to empirically test for "epistatic interactions" in the sense of the masking of the effect of a particular genetic variant by a variant at another locus.

Mesh:

Year:  2010        PMID: 20196744      PMCID: PMC2861312          DOI: 10.2202/1544-6115.1517

Source DB:  PubMed          Journal:  Stat Appl Genet Mol Biol        ISSN: 1544-6115


  35 in total

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5.  A novel method to identify gene-gene effects in nuclear families: the MDR-PDT.

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8.  Non-hierarchical logistic models and case-only designs for assessing susceptibility in population-based case-control studies.

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Review 9.  Epistasis--the essential role of gene interactions in the structure and evolution of genetic systems.

Authors:  Patrick C Phillips
Journal:  Nat Rev Genet       Date:  2008-11       Impact factor: 53.242

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Authors:  Thomas J Hoffmann; Christoph Lange; Stijn Vansteelandt; Nan M Laird
Journal:  Genet Epidemiol       Date:  2009-12       Impact factor: 2.135

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  23 in total

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Review 5.  Statistical analysis of genetic interactions.

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Journal:  Genet Res (Camb)       Date:  2010-12       Impact factor: 1.588

6.  A mapping between interactions and interference: implications for vaccine trials.

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7.  Marginal structural models for sufficient cause interactions.

Authors:  Tyler J Vanderweele; Stijn Vansteelandt; James M Robins
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8.  Remarks on antagonism.

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9.  Principal stratification--uses and limitations.

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10.  Deep determinism and the assessment of mechanistic interaction.

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