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gwama website  

Genome-wide association (GWA) studies have proved to be extremely successful in identifying moderate genetic effects contributing to complex human phenotypes. However, to gain insights into increasingly more modest signals of association, samples of many thousands of individuals are required. One approach to overcome this problem is to combine the results of GWA studies from closely related populations via meta-analysis, without direct exchange of genotype and phenotype data.

Environment Modules

Run module spider gwama to find out what environment modules are available for this application.

System Variables

  • HPC_GWAMA_DIR - installation directory
  • HPC_GWAMA_BIN - executable directory


If you publish research that uses gwama you have to cite it as follows:

Magi R, Morris AP: GWAMA: software for genome-wide association meta-analysis. BMC Bioinformatics 2010, 11:288.