CPBayes: Bayesian Meta Analysis for Studying Cross-Phenotype Genetic Associations

A Bayesian meta-analysis method for studying cross-phenotype genetic associations. It uses summary-level data across multiple phenotypes to simultaneously measure the evidence of aggregate-level pleiotropic association and estimate an optimal subset of traits associated with the risk locus. CPBayes is based on a spike and slab prior. The methodology is available from: A Majumdar, T Haldar, S Bhattacharya, JS Witte (2018) <doi:10.1371/journal.pgen.1007139>.

Package details

AuthorArunabha Majumdar <statgen.arunabha@gmail.com> [aut, cre], Tanushree Haldar <tanushree.haldar@gmail.com> [aut], John Witte [ctb]
MaintainerArunabha Majumdar <statgen.arunabha@gmail.com>
URL https://github.com/ArunabhaCodes/CPBayes
Package repositoryView on CRAN
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CPBayes documentation built on Dec. 2, 2020, 9:07 a.m.