Literature DB >> 9345720

Validation of microsatellite markers for routine horse parentage testing.

A T Bowling1, M L Eggleston-Stott, G Byrns, R S Clark, S Dileanis, E Wictum.   

Abstract

A parallel testing of 4803 routine Quarter Horse parentage cases, using 15 loci of blood group and protein polymorphisms (blood typing) and 11 loci of dinucleotide repeat microsatellites (DNA typing), validated DNA markers for horse pedigree verification. For the 26 loci, taken together, the theoretical effectiveness of detecting incorrect parentage was 99.999%, making it extremely unlikely that false parentage would fail to be recognized. The tests identified incorrect parentage assignment for 95 offspring (2% of cases). Despite fewer loci, DNA typing was as effective as blood typing and, in parentage exclusion cases, provided more systems to substantiate the genetic incompatibility. Five offspring presented potential genetic incompatibilities with their parents in only a single microsatellite system, but the parentage exclusions could not be confirmed with discordant results at additional loci. Two of these five incompatibilities could be explained as consequences of a null allele and three as fragment size increases or decreases (putative mutations). Provided that an exclusion assignment was based on at least two systems of genetic incompatibility, such rare genetic events did not lead to false exclusions. Notwithstanding the near 100% effectiveness estimations for either typing panel alone to identify incorrect parentage, this validation test showed an actual effectiveness of 97.3% for blood typing and 98.2% for DNA typing. The DNA-based test, however, may feasibly achieve higher efficacy than reported here by adding selected systems to the parentage test panel.

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Year:  1997        PMID: 9345720     DOI: 10.1111/j.1365-2052.1997.00123.x

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  15 in total

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2.  Genetic diversity and population structure of three Indian horse breeds.

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Journal:  Mol Biol Rep       Date:  2010-11-21       Impact factor: 2.316

3.  Assessment of power and accuracy of methods for detection and frequency-estimation of null alleles.

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Journal:  Genetica       Date:  2007-12-01       Impact factor: 1.082

4.  Physical mapping of genetic markers to chromosome 30 using a trisomic horse and evidence for maternal origin of the extra chromosome.

Authors:  A T Bowling; L V Millon; S Dileanis
Journal:  Chromosome Res       Date:  1997-09       Impact factor: 5.239

5.  Titration of an SIVmac251 stock by vaginal inoculation of Indian and Chinese origin rhesus macaques: transmission efficiency, viral loads, and antibody responses.

Authors:  M L Marthas; D Lu; M C Penedo; A G Hendrickx; C J Miller
Journal:  AIDS Res Hum Retroviruses       Date:  2001-10-10       Impact factor: 2.205

6.  Replacement of microsatellite markers by imputed medium-density SNP arrays for parentage control in German warmblood horses.

Authors:  Wietje Nolte; Hatem Alkhoder; Mirell Wobbe; Kathrin F Stock; Ernst Kalm; Sarah Vosgerau; Nina Krattenmacher; Georg Thaller; Jens Tetens; Christa Kühn
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7.  Reconstructing the origin and spread of horse domestication in the Eurasian steppe.

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-07       Impact factor: 11.205

8.  Parentage testing of Thoroughbred horse in Korea using microsatellite DNA typing.

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Journal:  J Vet Sci       Date:  2006-03       Impact factor: 1.603

9.  Identification of sample donor by 24-plex short tandem repeat in a post-race equine plasma containing dexamethasone.

Authors:  Jin-Wen Chen; Cornelius E Uboh; Lawrence R Soma; Youwen You; Zibin Jiang; Xiaoqing Li; Fuyu Guan; Ying Liu
Journal:  Springerplus       Date:  2014-02-17

10.  An international parentage and identification panel for the domestic cat (Felis catus).

Authors:  M J Lipinski; Y Amigues; M Blasi; T E Broad; C Cherbonnel; G J Cho; S Corley; P Daftari; D R Delattre; S Dileanis; J M Flynn; D Grattapaglia; A Guthrie; C Harper; P L Karttunen; H Kimura; G M Lewis; M Longeri; J-C Meriaux; M Morita; R C Morrin-O'donnell; T Niini; N C Pedersen; G Perrotta; M Polli; S Rittler; R Schubbert; M G Strillacci; H Van Haeringen; W Van Haeringen; L A Lyons
Journal:  Anim Genet       Date:  2007-08       Impact factor: 3.169

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