Skip to content

MerrimanLab/GWASPipeline

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

16 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

GWASPipeline

A basic 'first-pass' at a GWAS. To run the pipeline, follow the workflow in GWASPipeline.Rmd. There are more thorough descriptions of each step in the Sandpit directory, with relevant references in the References directory. A full working example will be added to the ExampleDatasets directory shortly.

The GWASPipeline does the following:

  1. QC Genotypes (from either VCF or BCF files)
  2. Determine the population structure (naive approach currently, to be refined in future)
  3. perform a standard GWAS using plink
  4. saves the results of the association tests, produces Q-Q plots and a manhattan plot.

We assume that the trait files have already been created and QC'd.

About

A basic GWAS analyses workflow. Worked examples provided in rendered markdown.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages