Literature DB >> 24166623

Exclusion probabilities for pedigree testing farm animals.

K G Dodds1, M L Tate, J C McEwan, A M Crawford.   

Abstract

Pedigree testing, using genetic markers, may be undertaken for a variety of situations, of which the classical paternity testing is only one. This has not always been made clear in the literature. Exclusion probabilities associated with various testing situations, including the use of autosomal or X-linked codominant marker systems with any number of alleles, are presented. These formulae can be used to determine the appropriate exclusion probability for the situation being investigated. One such situation is where sire groups of progeny are to be verified without knowledge of the dams' genotypes, in which case the classical paternity exclusion probability is too high, and if used may result in an optimistic declaration about the progeny that have not been excluded. On the other hand, if mating pairs are known then incorrect progeny can be excluded at a higher rate than suggested by paternity exclusion calculations. The formulae also assist in determining the usefulness of X-linked markers, particularly if the pedigree checks involve progeny of only one sex. A system of notation that is useful for the algebraic manipulation of genetic probabilities, including exclusion probabilities as presented here, is also given.

Year:  1996        PMID: 24166623     DOI: 10.1007/BF00224036

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  25 in total

1.  Parentage identification in the bovine using "deoxyribonucleic acid fingerprints".

Authors:  Y Kashi; E Lipkin; A Darvasi; A Nave; Y Gruenbaum; J S Beckmann; M Soller
Journal:  J Dairy Sci       Date:  1990-11       Impact factor: 4.034

2.  Parentage analysis with genetic markers in natural populations. I. The expected proportion of offspring with unambiguous paternity.

Authors:  R Chakraborty; T R Meagher; P E Smouse
Journal:  Genetics       Date:  1988-03       Impact factor: 4.562

3.  Effect of misidentification on the estimation of breeding value and heritability in cattle.

Authors:  H Geldermann; U Pieper; W E Weber
Journal:  J Anim Sci       Date:  1986-12       Impact factor: 3.159

4.  Exclusion of paternity: the current state of the art.

Authors:  R Chakraborty; M Shaw; W J Schull
Journal:  Am J Hum Genet       Date:  1974-07       Impact factor: 11.025

5.  A general model for the genetic analysis of pedigree data.

Authors:  R C Elston; J Stewart
Journal:  Hum Hered       Date:  1971       Impact factor: 0.444

6.  The genetics of transferrins in cattle.

Authors:  A Jamieson
Journal:  Heredity (Edinb)       Date:  1965-08       Impact factor: 3.821

7.  A method of screening for genes of major effect.

Authors:  B P Kinghorn; B W Kennedy; C Smith
Journal:  Genetics       Date:  1993-05       Impact factor: 4.562

8.  A microsatellite linkage map of the porcine genome.

Authors:  G A Rohrer; L J Alexander; J W Keele; T P Smith; C W Beattie
Journal:  Genetics       Date:  1994-01       Impact factor: 4.562

Review 9.  Construction of a genetic linkage map in man using restriction fragment length polymorphisms.

Authors:  D Botstein; R L White; M Skolnick; R W Davis
Journal:  Am J Hum Genet       Date:  1980-05       Impact factor: 11.025

Review 10.  Chicken genome mapping: a new era in avian genetics.

Authors:  D W Burt; N Bumstead; J J Bitgood; F A Ponce de Leon; L B Crittenden
Journal:  Trends Genet       Date:  1995-05       Impact factor: 11.639

View more
  14 in total

1.  Polyandry in a marine turtle: females make the best of a bad job.

Authors:  Patricia L M Lee; Graeme C Hays
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-19       Impact factor: 11.205

2.  Evidence of limited polyandry in a natural population of Aedes aegypti.

Authors:  Joshua B Richardson; Samuel B Jameson; Andrea Gloria-Soria; Dawn M Wesson; Jeffrey Powell
Journal:  Am J Trop Med Hyg       Date:  2015-04-13       Impact factor: 2.345

3.  How cuckoldry can decrease the opportunity for sexual selection: data and theory from a genetic parentage analysis of the sand goby, Pomatoschistus minutus.

Authors:  A G Jones; D Walker; C Kvarnemo; K Lindström; J C Avise
Journal:  Proc Natl Acad Sci U S A       Date:  2001-07-31       Impact factor: 11.205

4.  Integer programming for selecting set of informative markers in paternity inference.

Authors:  Soichiro Nishiyama; Kengo Sato; Ryutaro Tao
Journal:  BMC Bioinformatics       Date:  2022-07-08       Impact factor: 3.307

5.  Body size correlates with fertilization success but not gonad size in grass goby territorial males.

Authors:  Jose Martin Pujolar; Lisa Locatello; Lorenzo Zane; Carlotta Mazzoldi
Journal:  PLoS One       Date:  2012-10-04       Impact factor: 3.240

6.  An accurate formula to calculate exclusion power of marker sets in parentage assignment.

Authors:  Marc Vandeputte
Journal:  Genet Sel Evol       Date:  2012-12-03       Impact factor: 4.297

7.  High degree of multiple paternity in the viviparous Shiner Perch, Cymatogaster aggregata, a fish with long-term female sperm storage.

Authors:  Jin-Xian Liu; John C Avise
Journal:  Mar Biol       Date:  2011-01-11       Impact factor: 2.573

8.  Genotype Reconstruction of Paternity in European Lobsters (Homarus gammarus).

Authors:  Charlie D Ellis; David J Hodgson; Carl André; Tonje K Sørdalen; Halvor Knutsen; Amber G F Griffiths
Journal:  PLoS One       Date:  2015-11-13       Impact factor: 3.240

9.  A high throughput single nucleotide polymorphism multiplex assay for parentage assignment in New Zealand sheep.

Authors:  Shannon M Clarke; Hannah M Henry; Ken G Dodds; Timothy W D Jowett; Tim R Manley; Rayna M Anderson; John C McEwan
Journal:  PLoS One       Date:  2014-04-16       Impact factor: 3.240

10.  Genetic evidence for prevalence of alloparental care in a socially monogamous biparental cichlid fish, Perissodus microlepis, from Lake Tanganyika supports the "selfish shepherd effect" hypothesis.

Authors:  Hyuk Je Lee; Valentin Heim; Axel Meyer
Journal:  Ecol Evol       Date:  2016-03-21       Impact factor: 2.912

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.