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Ravages: An R package for the simulation and analysis of rare variants in multicategory phenotypes.
Bocher, Ozvan; Marenne, Gaëlle; Génin, Emmanuelle; Perdry, Hervé.
Afiliación
  • Bocher O; Univ Brest, Inserm, EFS, UMR 1078, GGB, Brest, France.
  • Marenne G; Institute of Translational Genomics, Helmholtz Zentrum München, Munich, Germany.
  • Génin E; Univ Brest, Inserm, EFS, UMR 1078, GGB, Brest, France.
  • Perdry H; Univ Brest, Inserm, EFS, UMR 1078, GGB, Brest, France.
Genet Epidemiol ; 47(6): 450-460, 2023 09.
Article en En | MEDLINE | ID: mdl-37158367
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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Variación Genética / Modelos Genéticos Límite: Humans Idioma: En Revista: Genet Epidemiol Asunto de la revista: EPIDEMIOLOGIA / GENETICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Variación Genética / Modelos Genéticos Límite: Humans Idioma: En Revista: Genet Epidemiol Asunto de la revista: EPIDEMIOLOGIA / GENETICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Francia