BioinformaticsGeneticsPeer-reviewed journal article
SimRVSequences: an R package to simulate genetic sequence data for pedigrees
Christina Nieuwoudt, Angela R Brooks-WilsoniD, Jinko GrahamiD
Abstract
1SummaryFamily-based studies have several advantages over case-control studies for finding causal rare variants for a disease; these include increased power, smaller sample size requirements, and improved detection of sequencing errors. However, collecting suitable families and compiling their data is time-consuming and expensive. To evaluate methodology to identify causal rare variants in family-based studies, one can use simulated data. For this purpose we present the R package SimRVSequences. Users supply a sample of pedigrees and single-nucleotide variant data from a sample of unrelated individuals representing the pedigree founders. Users may also model genetic heterogeneity among families. For ease of use, SimRVSequences offers methods to import and format single-nucleotide variant data and pedigrees from existing software.\n\nAvailability and ImplementationSimRVSequences is available as a library for R[≥] 3.5.0 on the comprehensive R archive network.
- assay: whole-exome sequencing
- research focus: benchmarking
- research focus: software / tool
- approach: simulation
- Citations
- 5
- FWCI
- 0.15
- Field percentile
- top 48%
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