Imputation-free GWAS Meta-Analysis with YAMAS

Tim Becker, Dmitriy Drichel, Christine Herold, Christian Meesters & Markus Leber
The success of genome-wide association studies (GWAS) is motivation enough to exchange and combine available data resources to expediently discover genetic risk factors for common human traits. The primary tools for these efforts are imputation and sub-sequent meta-analysis (MA). A main purpose [for full text, please go to the a.m. URL]