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 and is implemented by Markov chain Monte Carlo technique Gibbs sampling.
|Author||Arunabha Majumdar <[email protected]> [aut, cre], Tanushree Haldar <[email protected]> [aut], John Witte [ctb]|
|Date of publication||2018-02-23 07:50:54 UTC|
|Maintainer||Arunabha Majumdar <[email protected]>|
|Package repository||View on CRAN|
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