SNPHarvester – Detect Epistatic Interactions in Genome-wide Association studies

SNPHarvester

:: DESCRIPTION

SNPHarvester detects SNP–SNP interactions in GWA studies. SNPHarvester creates multiple paths in which the visited SNP groups tend to be statistically associated with diseases, and then harvests those significant SNP groups which pass the statistical tests. It greatly reduces the number of SNPs. Consequently, existing tools can be directly used to detect epistatic interactions.

::DEVELOPER

Laboratory for Bioinformatics and Computational Biology, HKUST

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • Java

:: DOWNLOAD

 SNPHarvester

:: MORE INFORMATION

Citation:

SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies
Can Yang, Zengyou He, Xiang Wan, Qiang Yang, Hong Xue and Weichuan Yu
Bioinformatics (2009) 25 (4): 504-511.

Eip 1.0 – Epistatic Interaction Package

Eip 1.0

:: DESCRIPTION

The Eip( Epistatic Interaction Package) is developed to estimate the epistatic effector in a candidate-gene case-control data set based on the Tian’s model

::DEVELOPER

Center for Statistical Genetics, Penn State University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows /Linux/ MacOsX
  • R package

:: DOWNLOAD

 Eip

:: MORE INFORMATION

Citation

Zhong Wang, Zhenwu Lin, Arthur Berg, John Hegarty, Walter A. Koltun and Rongling Wu.
A general model for multilocus epistatic interactions in Case-Control studies.
PLoS ONE 5(8): e11384. doi:10.1371/journal.pone.0011384

EPISTACY 2.0 – Detect Two-locus Epistatic Interactions using Genetic Marker information

EPISTACY 2.0

:: DESCRIPTION

EPISTACY is a SAS program designed to test all possible two-locus combinations for epistatic (interaction) effects on a quantitative trait using QTL-mapping data sets.

::DEVELOPER

Dr Jim Holland 

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 EPISTACY

:: MORE INFORMATION

Citation

Holland (1998),
EPISTACY: A SAS program for detecting two-locus epistatic interactions using genetic marker information“,
Journal of Heredity, 89:374-375.