Multifactor dimensionality reduction software for detecting gene–gene and gene–environment interactions
Vanderbilt University · Vanderbilt University Medical Center
Abstract
MOTIVATION: Polymorphisms in human genes are being described in remarkable numbers. Determining which polymorphisms and which environmental factors are associated with common, complex diseases has become a daunting task. This is partly because the effect of any single genetic variation will likely be dependent on other genetic variations (gene-gene interaction or epistasis) and environmental factors (gene-environment interaction). Detecting and characterizing interactions among multiple factors is both a statistical and a computational challenge. To address this problem, we have developed a multifactor dimensionality reduction (MDR) method for collapsing high-dimensional genetic data into a single dimension…
Citation impact
- FWCI
- 18.65
- Percentile
- 100%
- References
- 25
Authors
3Topics & keywords
- Multifactor dimensionality reduction
- Executable
- Computer science
- Epistasis
- Dimensionality reduction
- Software
- Data mining
- Documentation
- Life in Land