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Multifactor dimensionality reduction for graphics processing units enables genome-wide testing of epistasis in sporadic ALS.

Casey S Greene | Nicholas A Sinnott-Armstrong | Daniel S Himmelstein | Paul J Park | Jason H Moore | Brent T Harris
Bioinformatics (Oxford, England) | 2010

Epistasis, the presence of gene-gene interactions, has been hypothesized to be at the root of many common human diseases, but current genome-wide association studies largely ignore its role. Multifactor dimensionality reduction (MDR) is a powerful model-free method for detecting epistatic relationships between genes, but computational costs have made its application to genome-wide data difficult. Graphics processing units (GPUs), the hardware responsible for rendering computer games, are powerful parallel processors. Using GPUs to run MDR on a genome-wide dataset allows for statistically rigorous testing of epistasis.

Pubmed ID: 20081222

Research resources used in this publication

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Associated grants

  • Agency: NIEHS NIH HHS, United States
    Id: P42 ES007373
  • Agency: NIEHS NIH HHS, United States
    Id: ES007373
  • Agency: NLM NIH HHS, United States
    Id: R01 LM010098
  • Agency: NICHD NIH HHS, United States
    Id: HD047447
  • Agency: Intramural NIH HHS, United States
  • Agency: NICHD NIH HHS, United States
    Id: R01 HD047447
  • Agency: NLM NIH HHS, United States
    Id: LM010098
  • Agency: NLM NIH HHS, United States
    Id: LM009012
  • Agency: NIAID NIH HHS, United States
    Id: AI59694
  • Agency: NIAID NIH HHS, United States
    Id: R01 AI059694
  • Agency: NLM NIH HHS, United States
    Id: R01 LM009012

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Haploview (tool)

RRID:SCR_003076

A Java based software tool designed to simplify and expedite the process of haplotype analysis by providing a common interface to several tasks relating to such analyses. Haploview currently allows users to examine block structures, generate haplotypes in these blocks, run association tests, and save the data in a number of formats. All functionalities are highly customizable. (entry from Genetic Analysis Software) * LD & haplotype block analysis * haplotype population frequency estimation * single SNP and haplotype association tests * permutation testing for association significance * implementation of Paul de Bakker's Tagger tag SNP selection algorithm. * automatic download of phased genotype data from HapMap * visualization and plotting of PLINK whole genome association results including advanced filtering options Haploview is fully compatible with data dumps from the HapMap project and the Perlegen Genotype Browser. It can analyze thousands of SNPs (tens of thousands in command line mode) in thousands of individuals. Note: Haploview is currently on a development and support freeze. The team is currently looking at a variety of options in order to provide support for the software. Haploview is an open source project hosted by SourceForge. The source can be downloaded at the SourceForge project site.

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