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Bocher, O. ; Marenne, G.* ; Genin, E.* ; Perdry, H.*

Ravages: An R package for the simulation and analysis of rare variants in multicategory phenotypes.

Genet. Epidemiol. 47, 450-460 (2023)
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Current software packages for the analysis and the simulations of rare variants are only available for binary and continuous traits. Ravages provides solutions in a single R package to perform rare variant association tests for multicategory, binary and continuous phenotypes, to simulate datasets under different scenarios and to compute statistical power. Association tests can be run in the whole genome thanks to C++ implementation of most of the functions, using either RAVA-FIRST, a recently developed strategy to filter and analyse genome-wide rare variants, or user-defined candidate regions. Ravages also includes a simulation module that generates genetic data for cases who can be stratified into several subgroups and for controls. Through comparisons with existing programmes, we show that Ravages complements existing tools and will be useful to study the genetic architecture of complex diseases. Ravages is available on the CRAN at https://cran.r-project.org/web/packages/Ravages/ and maintained on Github at https://github.com/genostats/Ravages.
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Publication type Article: Journal article
Document type Scientific Article
Keywords R Package ; Multicategory Phenotypes ; Rare Variants ; Simulations ; Whole-genome; Power Analysis; Association
Language english
Publication Year 2023
HGF-reported in Year 2023
ISSN (print) / ISBN 0741-0395
e-ISSN 1098-2272
Quellenangaben Volume: 47, Issue: 6, Pages: 450-460 Article Number: , Supplement: ,
Publisher Wiley
Publishing Place 111 River St, Hoboken 07030-5774, Nj Usa
Reviewing status Peer reviewed
Institute(s) Institute of Translational Genomics (ITG)
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Genetics and Epidemiology
PSP Element(s) G-506700-001
Scopus ID 85158912475
PubMed ID 37158367
Erfassungsdatum 2023-10-06