:: DESCRIPTION
PowerGxE is a SAS Macro for power calculations for genetic association tests exploiting gene-environment interaction
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation:
Hum Hered. 2007;63(2):111-9. Epub 2007 Feb 2.
Exploiting gene-environment interaction to detect genetic associations.
Kraft P, Yen YC, Stram DO, Morrison J, Gauderman WJ.
:: DESCRIPTION
GATOR (Genetic Association Tests Based on Ranks) is a program that implements the family-based association method for quantitative traits with and without censoring described in Allen et al. (2006). This program is distinctive in that it can handle quantitative phenotypes with skewed distributions, censored data, and/or outliers. Currently the program focuses on bi-allelic markers (e.g. single nucleotide polymorphisms). It can handle parent-offspring (Triads), sibships with (Quads) and without (Sibs) parents, and extended multi-generation pedigree data (General Pedigree). GATOR is able to perform association tests using four different genetic models: general, dominant, recessive, and additive.
::DEVELOPER
Duke Molecular Physiology Institute
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Allen AS., Martin E., Qin X., Li Y.J:
Genetic Association Tests Based on Ranks (GATOR) for Quantitative Traits With and Without Censoring.
Genetic Epidemiology 2006; 30: 248-258.
