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treeWAS specifications


Unique identifier OMICS_18525
Name treeWAS
Software type Package/Module, Pipeline/Workflow
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages R
Computer skills Advanced
Stability Stable
Maintained Yes




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  • person_outline Xavier Didelot

Publication for treeWAS

treeWAS citation


Bayesian analysis of genetic association across tree structured routine healthcare data in the UK Biobank

Nat Genet
PMCID: 5580804
PMID: 28759005
DOI: 10.1038/ng.3926

[…] using a priori knowledge of phenotype relationships obtained from a diagnosis classification tree., to meet these requirements, we have developed a novel bayesian analysis framework, termed treewas, which models genetic coefficients across all phenotypes as a set of random variables. to model the correlation structure we allow coefficients to evolve down a tree in a markov process (). […]

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treeWAS institution(s)
Department of Infectious Disease Epidemiology, Imperial College London, London, UK
treeWAS funding source(s)
Supported by BBSRC grant BB/L023458/1 and NIHR grant 458 HPRU-2012-10080.

treeWAS review

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Arup Ghosh

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treeWAS is a novel and innovative approach to overcome the bias previous generation phylogenetic tree construction algorithms had. The algorithm accounts for two major confounding factors, population structure, and recombination that most of the tools don't account for.