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Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
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In addition to multiple alleles at the same locus influencing traits, numerous genes or alleles at different locations may interact and influence phenotypes in a phenomenon called epistasis. For example, rabbit fur can be black or brown depending on whether the animal is homozygous dominant or heterozygous at a TYRP1 locus. However, if the rabbit is also homozygous recessive at a locus on the tyrosinase gene (TYR), it will have an unshaded coat that appears white, regardless of its TYRP1...
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The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
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W-Test for Genetic Epistasis Testing.

Rui Sun1, Haoyi Weng1, Maggie Haitian Wang2

  • 1The Chinese University of Hong Kong, Hong Kong, China.

Methods in Molecular Biology (Clifton, N.J.)
|March 18, 2021
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Summary
This summary is machine-generated.

This study introduces the W-test, a powerful statistical method for detecting genetic epistasis, a key factor in complex diseases. An R package, wtest, is available to implement this method for analyzing genetic and epigenetic data.

Keywords:
Bioinformatics methodEpistasis testingGWASR package

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Area of Science:

  • Genetics
  • Statistical genetics
  • Bioinformatics

Background:

  • Genetic epistasis significantly contributes to genetic variation in complex diseases.
  • Accurate methods are needed to identify these complex genetic interactions.

Purpose of the Study:

  • To introduce an efficient statistical method, the W-test, for genetic epistasis testing.
  • To provide a user-friendly R package (wtest) for implementing the W-test.

Main Methods:

  • Development of the W-test statistical method for epistasis analysis.
  • Implementation of the W-test in an R package (wtest).
  • Inclusion of functions for main effect, pairwise, higher-order interactions, and cis-regulation analysis of SNP-CpG pairs.

Main Results:

  • The W-test offers a powerful and efficient approach to genetic epistasis testing.
  • The wtest R package facilitates flexible association testing and diagnostic checks.
  • The package supports analysis of both genetic and epigenetic data.

Conclusions:

  • The W-test and its R package provide a valuable tool for researchers studying complex diseases.
  • This method enhances the ability to investigate gene-gene and gene-environment interactions.
  • The wtest package is accessible via CRAN for broad scientific use.