Genome-wide genetic heterogeneity discovery with categorical covariates (FastCMH)

Enlarged view: Cover of the Bioinformatics journal

Felipe Llinares-Lopez, Laetitia Papaxanthos, Dean Bodenham, Damian Roqueiro, COPDGene Investigators and Karsten Borgwardt

Genome-wide genetic heterogeneity discovery with categorical covariates

Summary

We present an algorithm to discover genomic regions of contiguous SNPs that are associated to a phenotype of interest under a model of genetic heterogeneity. The algorithm can search any contiguous set of SNPs in the genome while still properly correcting for mutiple testing and accounting for confounding factors.

Code

A beta version of the FastCMH algorithm is available in our GitHub repository external page here.

R package

The R package ‘fastcmh’ can be installed from CRAN external page here. It requires R version 3.3.0 or above.

Then, in an R session, first install the packages ‘bindata’ and ‘Rcpp’ using the commands:

> install.packages(“bindata”)

> install.packages(“Rcpp”)

Next, install 'fastcmh':

> install.packages(“fastcmh”)

For information on how to use ‘fastcmh’, please refer to the Supplementary Material of the paper or look at the external page documentation for FastCMH in CRAN.

Publication

Genome-wide genetic heterogeneity discovery with categorical covariates

Felipe Llinares-Lopez*, Laetitia Papaxanthos*, Dean Bodenham, Damian Roqueiro, COPDGene Investigators and Karsten Borgwardt (*=equal contributions)
Bioinformatics 2017, 33 (12): 1820-1828
external page Online  |  ETH Research Collection  |  Project page  |  external page GitHub

Contact and for questions regarding usage or reporting bugs.

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