title: RAREMETAL: fast and powerful meta-analysis for rare variants.
abstract: CONCLUSIONS
  RAREMETAL is a computationally efficient tool for meta-analysis of rare variants genotyped using sequencing or arrays. RAREMETAL facilitates analyses of individual studies, accommodates a variety of input file formats, handles related and unrelated individuals, executes both single variant and burden tests and performs conditional association analyses.
  
  
  METHODS
  http://genome.sph.umich.edu/wiki/RAREMETAL for executables, source code, documentation and tutorial.
authors.affiliation: Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.
authors.forename: Shuang
authors.initials: S
authors.lastname: Feng
authors.affiliation: Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.
authors.forename: Dajiang
authors.initials: D
authors.lastname: Liu
authors.affiliation: Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.
authors.forename: Xiaowei
authors.initials: X
authors.lastname: Zhan
authors.affiliation: Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.
authors.forename: Mary Kate
authors.initials: MK
authors.lastname: Wing
authors.affiliation: Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.
authors.forename: Gonçalo R
authors.initials: GR
authors.lastname: Abecasis
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D003627:Data Interpretation, Statistical; D055106:Genome-Wide Association Study; D005838:Genotype; D006801:Humans; D015810:Linkage Disequilibrium; D015233:Models, Statistical; D011381:Programming Languages; D040641:Quantitative Trait Loci; D015203:Reproducibility of Results; D012984:Software