Journal of Dairy Science
Volume 93, Issue 5 , Pages 2229-2238 , May 2010

Prediction of unobserved single nucleotide polymorphism genotypes of Jersey cattle using reference panels and population-based imputation algorithms

  • K.A. Weigel

      Affiliations

    • Department of Dairy Science, University of Wisconsin, Madison 53706
    • Corresponding Author InformationCorresponding author.
  • ,
  • C.P. Van Tassell

      Affiliations

    • Bovine Functional Genomics Laboratory, ARS, USDA, Beltsville, MD 20705-2350
    • Animal Improvement Programs Laboratory, ARS, USDA, Beltsville, MD 20705-2350
  • ,
  • J.R. O’Connell

      Affiliations

    • University of Maryland School of Medicine, Baltimore 21201
  • ,
  • P.M. VanRaden

      Affiliations

    • Animal Improvement Programs Laboratory, ARS, USDA, Beltsville, MD 20705-2350
  • ,
  • G.R. Wiggans

      Affiliations

    • Animal Improvement Programs Laboratory, ARS, USDA, Beltsville, MD 20705-2350

Received 22 October 2009 ,Accepted 4 January 2010.

  • Image Result

    Frequency distribution of the proportion of masked SNP genotypes on chromosome 15 (1,377 total SNP) that were imputed correctly in future study samples comprising 604 US Jersey cattle, using reference

    Frequency distribution of the proportion of masked SNP genotypes on chromosome 15 (1,377 total SNP) that were imputed correctly in future study samples comprising 604 US Jersey cattle, using reference panels comprising 2,542 animals of the same breed with the IMPUTE 2.0 (40 conditioning states; B. Howie and J. Marchini; Department of Statistics, University of Oxford, UK) or fastPHASE 1.2 (32 haplotype clusters; P. Scheet and M. Stevens; University of Washington TechTransfer Digital Ventures Program, Seattle, WA) population-based algorithms.

PII: S0022-0302(10)00213-4

doi: 10.3168/jds.2009-2849

Journal of Dairy Science
Volume 93, Issue 5 , Pages 2229-2238 , May 2010