Literature DB >> 20662822

Development of novel SNP system for individual and pedigree control in a Japanese Black cattle population using whole-genome genotyping assay.

Kazuhiro Hara1, Yukari Kon, Shinji Sasazaki, Fumio Mukai, Hideyuki Mannen.   

Abstract

Individual identification and parentage analysis using DNA markers are essential for assuring food identity and managing livestock population. The objective of this study was to develop a single nucleotide polymorphism (SNP) panel system for individual effective identification and parentage testing in a Japanese Black cattle population using BovineSNP50 BeadChip. On the basis of SNP frequencies, 60 unlinked informative SNPs were finally selected as candidate markers. The allelic frequencies for each SNP were estimated using additional individuals by PCR-RFLP (restriction fragment length polymorphism). A total of 87 SNP markers added in conjunction with previously developed 27 SNPs were evaluated to assess the utility of the test. The estimated identity power was 2.01 x 10(-34). Parentage exclusion probabilities, when both suspected parents' genotypes were known and when only one suspected parent was genotyped, were estimated as 0.99999997 and 0.99998010, respectively. This developed SNP panel was quite powerful and could successfully exclude false sires with a probability of >0.9999 even if the dam's genotype information was not obtained. The SNP system would contribute to management of the beef industry in Japan.

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Year:  2010        PMID: 20662822     DOI: 10.1111/j.1740-0929.2010.00766.x

Source DB:  PubMed          Journal:  Anim Sci J        ISSN: 1344-3941            Impact factor:   1.749


  1 in total

1.  Comparison of the effectiveness of microsatellites and SNP panels for genetic identification, traceability and assessment of parentage in an inbred Angus herd.

Authors:  María E Fernández; Daniel E Goszczynski; Juan P Lirón; Egle E Villegas-Castagnasso; Mónica H Carino; María V Ripoli; Andrés Rogberg-Muñoz; Diego M Posik; Pilar Peral-García; Guillermo Giovambattista
Journal:  Genet Mol Biol       Date:  2013-06-22       Impact factor: 1.771

  1 in total

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