MOST 1.0
:: DESCRIPTION
MOST (Multivariate Outcome Score Test) is able to analyze all the traits jointly. The framework is flexible in that it can handle both continuous and binary traits, or a mixture of them. In addition, it can accommodate family data, can adjust for covariates (such as ancestry variables, age, gender, etc.), and can be combined efficiently across studies with different designs. Furthermore, it has a built-in Monte Carlo procedure that can determine the genome-wide significance by taking into account the LD information among all the SNPs. Tur framework establishes a flexible platform for the analysis of multivariate-outcome association study, and provides a powerful tool for uncovering pleiotropic genetic variants.
::DEVELOPER
:: SCREENSHOTS
N/A
::REQUIREMENTS
- Linux
:: DOWNLOAD
:: MORE INFORMATION
Citation
Genet Epidemiol. 2013 Dec;37(8):759-67. doi: 10.1002/gepi.21759. Epub 2013 Nov 5.
A general framework for association tests with multivariate traits in large-scale genomics studies.
He Q1, Avery CL, Lin DY.