GPA (Genetic analysis incorporating Pleiotropy and Annotation) is a tool for the prioritization of genome-wide association studies (GWAS) results using pleiotropy information and annotation data. The GPA algorithm has functions for fitting models and hypothesis testing the associated SNPs.
Genomics; Genetics; GWAS study
Chung D, Yang C, Li C, Gelernter J, Zhao H "GPA: a statistical approach to prioritizing GWAS results by integrating pleiotropy and annotation." PLoS Genet. 2014; 10(11):e1004787 https://doi.org/10.1371/journal.pgen.1004787
If you find errors, please report here.
Find thousands of Bioinformatics and Life Science software tools and databases in the newly launched