Literature DB >> 8514142

A method of screening for genes of major effect.

B P Kinghorn1, B W Kennedy, C Smith.   

Abstract

This paper describes a method for screening animal populations on an index of calculated probabilities of genotype status at an unknown single locus. Animals selected by such a method might then be candidates in test matings and genetic marker analyses for major gene detection. The method relies on phenotypic measures for a continuous trait plus identification of sire and dam. Some missing phenotypes and missing pedigree information are permitted. The method is an iterative two-step procedure, the first step estimates genotype probabilities and the second step estimates genotypic effects by regressing phenotypes on genotype probabilities, modeled as true genotype status plus error. Prior knowledge or choice of major locus-free heritability for the trait of interest is required, plus initial starting estimates of the effect on phenotype of carrying one and two copies of the unknown gene. Gene frequency can be estimated by this method, but it is demonstrated that the consequences of using an incorrect fixed prior for gene frequency are not particularly adverse where true frequency of the allele with major effect is low. Simulations involving deterministic sampling from the normal distribution lead to convergence for estimates of genotype effects at the true values, for a reasonable range of starting values, illustrating that estimation of major gene effects has a rational basis. In the absence of polygenic effects, stochastic simulations of 600 animals in five generations resulted in estimates of genotypic effects close to the true values. However, stochastic simulations involving generation and fitting of both major genotype and animal polygenic effects showed upward bias in estimates of major genotype effects. This can be partially overcome by not using information from relatives when calculating genotype probabilities-a result which suggests a route to a modified method which is unbiased and yet does use this information.

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Year:  1993        PMID: 8514142      PMCID: PMC1205437     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  7 in total

1.  Estimating major gene effects with partial information using Gibbs sampling.

Authors:  R Pong-Wong; J A Woolliams
Journal:  Theor Appl Genet       Date:  1996-11       Impact factor: 5.699

2.  Use of deterministic sampling for exploring likelihoods in linkage analysis for quantitative traits.

Authors:  M J Mackinnon; S van der Beek; B P Kinghorn
Journal:  Theor Appl Genet       Date:  1996-01       Impact factor: 5.699

3.  Exclusion probabilities for pedigree testing farm animals.

Authors:  K G Dodds; M L Tate; J C McEwan; A M Crawford
Journal:  Theor Appl Genet       Date:  1996-06       Impact factor: 5.699

4.  Application of Gibbs sampling for inference in a mixed major gene-polygenic inheritance model in animal populations.

Authors:  L L Janss; R Thompson; A M Van Arendonk
Journal:  Theor Appl Genet       Date:  1995-11       Impact factor: 5.699

5.  Estimation of effects of quantitative trait loci in large complex pedigrees.

Authors:  T H Meuwissen; M E Goddard
Journal:  Genetics       Date:  1997-05       Impact factor: 4.562

6.  Estimation of genotype distributions and posterior genotype probabilities for beta-mannosidosis in Salers cattle.

Authors:  J F Taylor; B Abbitt; J P Walter; S K Davis; J T Jaques; R F Ochoa
Journal:  Genetics       Date:  1993-11       Impact factor: 4.562

7.  A simple strategy for managing many recessive disorders in a dairy cattle breeding program.

Authors:  John B Cole
Journal:  Genet Sel Evol       Date:  2015-11-30       Impact factor: 4.297

  7 in total

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