Literature DB >> 10582280

Estimations of the efficacy and reliability of paternity assignments from DNA microsatellite analysis of multiple-sire matings.

D M Vankan1, M J Faddy.   

Abstract

It is important for bovine DNA testing laboratories to provide the cattle industry with accurate estimates of the efficacy and reliability of DNA tests offered so that end users of this technology can adequately assess the cost-benefits of testing. To address these issues for bovine paternity testing, paternity exclusion probability estimates were obtained from breed panel data and were predictive of the efficacy of the DNA tests used in 39 multiple-sire mating groups, involving 5960 calves and 505 bulls. Paternity testing of these mating groups has demonstrated that the majority involve a variable proportion of unknown sires and this impacts on the reliability of sire allocation. Mathematical models based on binomial or beta-binomial probability distributions were used to estimate the reliability of single-sire allocations from multiple-sire matings involving unknown sires. Reliability of 98-99% is achieved when the exclusion probability is 0.99 or greater, after allowing for up to 20% unknown sires. When the exclusion probability drops below 0.90 and there are 20% unknown sires, the reliability is poor, bringing into question the benefits of testing. This highlights the need for DNA testing laboratories to offer paternity tests with an exclusion power of at least 99%.

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Year:  1999        PMID: 10582280     DOI: 10.1046/j.1365-2052.1999.00511.x

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


  2 in total

1.  Assessing probability of ancestry using simple sequence repeat profiles: applications to maize hybrids and inbreds.

Authors:  Donald A Berry; Jon D Seltzer; Chongqing Xie; Deanne L Wright; J Stephen C Smith
Journal:  Genetics       Date:  2002-06       Impact factor: 4.562

2.  Microsatellite based genetic diversity and population structure of the endangered Spanish Guadarrama goat breed.

Authors:  Magdalena Serrano; Jorge H Calvo; Marta Martínez; Ane Marcos-Carcavilla; Javier Cuevas; Carmen González; Juan J Jurado; Paloma Díez de Tejada
Journal:  BMC Genet       Date:  2009-09-29       Impact factor: 2.797

  2 in total

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