GWAsimulator

GWAsimulator: a rapid whole-genome simulation program. Summary: GWAsimulator implements a rapid moving-window algorithm to simulate genotype data for case-control or population samples from genomic SNP chips. For case-control data, the program generates cases and controls according to a user-specified multi-locus disease model, and can simulate specific regions if desired. The program uses phased genotype data as input and has the flexibility of simulating genotypes for different populations and different genomic SNP chips. When the HapMap phased data are used, the simulated data have similar local LD patterns as the HapMap data. As genome-wide association (GWA) studies become increasingly popular and new GWA data analysis methods are being developed, we anticipate that GWAsimulator will be an important tool for evaluating performance of new GWA analysis methods. Availability: The C++ source code, executables for Linux, Windows and MacOS, manual, example data sets and analysis program are available at http://biostat.mc.vanderbilt.edu/GWAsimulator


References in zbMATH (referenced in 4 articles )

Showing results 1 to 4 of 4.
Sorted by year (citations)

  1. Zhao, Huaqing; Mitra, Nandita; Kanetsky, Peter A.; Nathanson, Katherine L.; Rebbeck, Timothy R.: A practical approach to adjusting for population stratification in genome-wide association studies: principal components and propensity scores (PCAPS) (2018)
  2. Wang, Chamont; Gevertz, Jana L.: Finding causative genes from high-dimensional data: an appraisal of statistical and machine learning approaches (2016)
  3. Amato, Roberto; Pinelli, Michele; D’andrea, Daniel; Miele, Gennaro; Nicodemi, Mario; Raiconi, Giancarlo; Cocozza, Sergio: A novel approach to simulate gene-environment interactions in complex diseases (2010) ioport
  4. Li, Chun; Li, Mingyao: Gwasimulator: a rapid whole-genome simulation program. (2008) ioport