Multiple Locus Association Mapping on a Genome-Wide Scale

An implementation of multiple-locus association mapping on a genome-wide scale. 'Eagle' can handle inbred and outbred study populations, populations of arbitrary unknown complexity, and data larger than the memory capacity of the computer. Since 'Eagle' is based on linear mixed models, it is best suited to the analysis of data on continuous traits. However, it can tolerate non-normal data. 'Eagle' reports, as its findings, the best set of snp in strongest association with a trait. For users unfamiliar with R, to perform an analysis, run 'OpenGUI()'. This opens a web browser to the menu-driven user interface for the input of data, and for performing genome-wide analysis.


Reference manual

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1.2.0 by Andrew George, a month ago

Browse source code at

Authors: Andrew George [aut, cre] , Joshua Bowden [ctb] , Ryan Stephenson [ctb] , Hyun Kang [ctb] , Noah Zaitlen [ctb] , Claire Wade [ctb] , Andrew Kirby [ctb] , David Heckerman [ctb] , Mark Daly [ctb] , Eleazar Eskin [ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports matrixcalc, shiny, shinythemes, shinyBS, shinyjs, stats, utils, parallel, data.table

Depends on shinyFiles

Linking to RcppEigen, Rcpp

See at CRAN