An adaptation of classical region/gene-based association analysis techniques to the use of summary statistics (P values and effect sizes) and correlations between genetic variants as input. It is a tool to perform the most popular and efficient gene-based tests using the results of genome-wide association (meta-)analyses without having the original genotypes and phenotypes at hand.
|Author||Nadezhda M. Belonogova <email@example.com> and Gulnara R. Svishcheva <firstname.lastname@example.org> with contributions from: Seunggeun Lee (kernel functions), Pierre Lafaye de Micheaux ('davies' method), Minghui Wang, Yiyuan Liu, Shizhong Han (simpleM function) Thomas Lumley ('kuonen' method), and James O. Ramsay (functional data analysis functions)|
|Maintainer||Nadezhda M. Belonogova <email@example.com>|
|Package repository||View on CRAN|
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