title: Error detection in SNP data by considering the likelihood of recombinational history implied by three-site combinations.
abstract: BACKGROUND
  Errors in nucleotide sequence and SNP genotyping data are problematic when inferring haplotypes. Previously published methods for error detection in haplotype data make use of pedigree information; however, for many samples, individuals are not related by pedigree. This article describes a method for detecting errors in haplotypes by considering the recombinational history implied by the patterns of variation, three SNPs at a time.
  
  
  RESULTS
  Coalescent simulations provide evidence that the method is robust to high levels of recombination as well as homologous gene conversion, indicating that patterns produced by both proximate and distant SNPs may be useful for detecting unlikely three-site haplotypes.
  
  
  BACKGROUND
  The perl script implementing the described method is called EDUT (Error Detection Using Triplets) and is available on request from the authors.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Department of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697, USA.
authors.forename: Donna M
authors.initials: DM
authors.lastname: Toleno
authors.forename: Peter L
authors.initials: PL
authors.lastname: Morrell
authors.forename: Michael T
authors.initials: MT
authors.lastname: Clegg
mesh_terms: D000465:Algorithms; D003001:Cloning, Molecular; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D005838:Genotype; D006239:Haplotypes; D006579:Heterozygote; D006801:Humans; D016013:Likelihood Functions; D008954:Models, Biological; D008957:Models, Genetic; D010375:Pedigree; D011110:Polymorphism, Genetic; D020641:Polymorphism, Single Nucleotide; D012984:Software