title: P2BAT: a massive parallel implementation of PBAT for genome-wide association studies in R.
abstract: The software tool P2BAT provides a massive parallel and user friendly implementation of the PBAT-analysis tools for family-based association tests (FBATs) in large-scale studies, including genome-wide association studies with several thousand subjects. Built on the original PBAT-implementation of the Lange-Van Steen algorithm to bypass the multiple testing problem in family-based association studies, P2BAT integrates all PBAT-analysis tools for binary and complex traits into R and makes them accessible through a user-friendly GUI. The genome-wide analysis tools are fully automated and can be ran massively parallel directly through the GUI. P2BAT is fully documented and contains graphical output tools for time-to-onset analysis. P2BAT also features the ability to test for gene and environment/drug interaction.
  
  
  BACKGROUND
  The P2BAT package is available as the R package 'pbatR' which can be downloaded from http://cran.r-project.org/. The PBAT-software is available at http://www.biostat.harvard.edu/~clange/.
authors.affiliation: Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA. thoffman@hsph.harvard.edu
authors.forename: Thomas
authors.initials: T
authors.lastname: Hoffmann
authors.forename: Christoph
authors.initials: C
authors.lastname: Lange
mesh_terms: D000465:Algorithms; D002874:Chromosome Mapping / Q000379:methods*; D003196:Computer Graphics; D003205:Computing Methodologies; D005828:Genetics, Population / Q000379:methods*; D011381:Programming Languages; D040641:Quantitative Trait Loci / Q000235:genetics*; D012984:Software; D014584:User-Computer Interface