sumFREGAT: Fast Region-Based Association Tests on Summary Statistics

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.

Package details

AuthorNadezhda M. Belonogova <[email protected]> and Gulnara R. Svishcheva <[email protected]> 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)
MaintainerNadezhda M. Belonogova <[email protected]>
Package repositoryView on CRAN
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sumFREGAT documentation built on Nov. 15, 2018, 5:04 p.m.