amkusmec/FarmCPUpp: Perform GWAS Using the FarmCPU Model

Performs genome-wide association analyses using the FarmCPU model. Briefly, FarmCPU tests the significance of associations between genetic markers and phenotypes using the general linear model framework. After single-marker regression, FarmCPU divides the genome into bins and identifies a set of optimal markers to use as covariates in the next iteration. This approach, similar to that of the multi-locus mixed model, increases power and decreases the false discovery rate.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version1.2.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("amkusmec/FarmCPUpp")
amkusmec/FarmCPUpp documentation built on May 10, 2019, 10:28 a.m.