Epistasis Blog

From the Computational Genetics Laboratory at the University of Pennsylvania (www.epistasis.org)

Thursday, February 17, 2005

Open-Source MDR Released

The CGL has released an open-source version of the Multifactor Dimensionality Reduction (MDR) software package for the detection and characterization of epistasis in genetic and epidemiologic studies of human disease. The software is programmed entirely in JAVA and is distributed for free under a GNU General Public License. The software and information about the method can be found here.

Recent publications on MDR include:

Moore JH. Computational analysis of gene-gene interactions using multifactor dimensionality reduction. Expert Rev Mol Diagn. 2004 Nov;4(6):795-803. [PubMed]

Williams et al. Multilocus analysis of hypertension: a hierarchical approach. Hum Hered. 2004;57(1):28-38. [PubMed]

Coffey et al. An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene interactions on risk of myocardial infarction: the importance of model validation. BMC Bioinformatics. 2004 Apr 30;5(1):49. [PubMed]

Hahn LW, Moore JH. Ideal discrimination of discrete clinical endpoints using multilocus genotypes. In Silico Biol. 2004;4(2):183-94. [PubMed]

Cho et al. Multifactor-dimensionality reduction shows a two-locus interaction associated with Type 2 diabetes mellitus. Diabetologia. 2004 Mar;47(3):549-54. [PubMed]

Tsai et al. Renin-angiotensin system gene polymorphisms and atrial fibrillation. Circulation. 2004 Apr 6;109(13):1640-6. [PubMed]

Recent papers that cite or discuss MDR include:

Hirschhorn JN, Daly MJ. Genome-wide association studies for common diseases and complex traits. Nat Rev Genet. 2005 Feb;6(2):95-108. [PubMed]

Pharoah et al. Association studies for finding cancer-susceptibility genetic variants. Nat Rev Cancer. 2004 Nov;4(11):850-60. [PubMed]

Khoury et al. The emergence of epidemiology in the genomics age. Int J Epidemiol. 2004 Oct;33(5):936-44. [PubMed]

Thornton-Wells et al. Genetics, statistics and human disease: analytical retooling for complexity. Trends Genet. 2004 Dec;20(12):640-7. [PubMed]

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