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

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Abstract

The application of Gibbs sampling is considered for inference in a mixed inheritance model in animal populations. Implementation of the Gibbs sampler on scalar components, as used for human populations, appeared not to be efficient, and an approach with blockwise sampling of genotypes was proposed for use in animal populations. The blockwise sampling of genotypes was proposed for use in animal populations. The blockwise sampling by which genotypes of a sire and its final progeny were sampled jointly was effective in improving mixing, although further improvements could be looked for. Posterior densities of parameters were visualised from Gibbs samples; from the former highly marginalised Bayesian point and interval estimates can be obtained.

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References

  • Besag J, York J, Mollie A (1991) Bayesian image restoration with two applications in spacial statistics (with discussion). Ann Inst Stat Math 43:1–59

    Google Scholar 

  • Cannings C, Thompson EA, Skolnick MH (1978) Probability functions on complex pedigrees. Adv Appl Prob 10:26–61

    Google Scholar 

  • Elston RC, Stewart J (1971) A general model for the genetic analysis of pedigree data. Hum Hered 21:523–542

    Google Scholar 

  • Gelfand AE, Smith AFM (1990) Sampling based approaches to calculating marginal densities. J Am Stat Assoc 85:398–409

    Google Scholar 

  • Geman S, Geman D (1984) Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Trans Pattn Anal Mach Intell 6:721–741

    Google Scholar 

  • Geyer CJ (1992) A practical guide to Markov chain Monte Carlo. Stat Sci 7:467–511

    Google Scholar 

  • Guo SW, Thompson EA (1992) A Monte Carlo method for combined segregation and linkage analysis. Am J Hum Genet 51:1111–1126

    Google Scholar 

  • Harville DA (1977) Maximum likelihood approaches to variance component estimation and related problems. J Am Stat Assoc 72:320–339

    Google Scholar 

  • Henderson CR (1953) Estimation of variance and covariance components. Biometrics 9:226–252

    Google Scholar 

  • Henderson CR (1988) Theoretical basis and computational methods for a number of different animal models. J Dairy Sci 71 [Suppl 2]: 1–16

    Google Scholar 

  • Hobert JP, Casella G (1994) Gibbs sampling with improper prior distributions. Technical report BU-1221-M, Biometrics Unit, Cornell University

  • Kinghorn BP, Kennedy BW, Smith C (1993) A method of screening for genes of major effect. Genetics 134:351–360

    Google Scholar 

  • Knott SA, Haley CS, Thompson R (1992) Methods of segregation analysis for animal breeding data: a comparison of power. Heredity 68:299–311

    Google Scholar 

  • Le Roy P, Elsen JM, Knott SA (1989) Comparison of four statistical methods for detection of a major gene in a progeny test design. Genet Sel Evol 21:341–357

    Google Scholar 

  • Lin S, Thompson E, Wijsman E (1993) Achieving irreducibility of the Markov chain Monte Carlo method applied to pedigree data. IMA J Math Med Biol 10:1–17

    Google Scholar 

  • Morton NE, MacLean CJ (1974). Analysis of family resemblance. III. Complex segregation of quantitative traits. Am J Hum Genet 26:489–503

    Google Scholar 

  • Patterson HD, Thompson R (1971) Recovery of inter-block information when block sizes are unequal. Biometrika 58:545–554

    Google Scholar 

  • Press WH, Flannery BP, Teukolsky SA, Vetterling WT (1986) Numerical recipes; the art of scientific computing. Cambridge University Press, Cambridge, Mass.

    Google Scholar 

  • Quaas RL (1976) Computing the diagonal elements and inverse of a large numerator relationship matrix. Biometrics 32:949–953

    Google Scholar 

  • Raftery AE, Lewis SM (1992) How many iterates in the Gibbs sampler? In: Bernardo JM, Bergen JO, David AP, Smith AFM (eds) Bayesian statistics, Oxford University Press, Oxford, pp 765–776

    Google Scholar 

  • Scott DW (1992) Mutivariate density estimation. Wiley and Sons, New York

    Google Scholar 

  • Sheehan N, Thomas A (1993) On the irreducibility of a Markov chain defined on a space of genotype configurations by a sampling scheme. Biometrics 49:163–175

    PubMed  Google Scholar 

  • Smith AFM, Roberts GO (1993) Bayesian computation via the Gibbs sampler and related markov chain Monte Carlo methods. J R Stat Soc Ser B 55:3–24

    Google Scholar 

  • Sorensen D, Anderson S, Jensen J, Wang CS, Gianola D (1994) Inferences about genetic parameters using the Gibbs sampler. In: Smith C, Gavora JS, Benkel B, Chesnais J, Fairfull W, Gibson JP, Kennedy BW, Burnside EB (eds) Proc 5th World Congr Genet Appl Livest Prod, vol 18. Organizing committee, 5th World Congr Genet Appl Livest Prod Guelph, Canada, pp 321–328

  • Tanner MA (1993) Tools for statistical inference. Springer, Berlin Heidelberg New York

    Google Scholar 

  • Titterington DM, Smith AFM, Makov EU (1985) Statistical analysis of finite mixture distributions. Wiley and Sons, New York

    Google Scholar 

  • Van der Lugt AW, Janss LLG, Van Arendonk JAM (1994) Estimation of variance components in large animal models using Gibbs sampling. In: Smith C, Gavora JS, Benkel B, Chesnais J, Fairfull W, Gibson JP, Kennedy BW, Burnside EB (eds) Proc 5th World Congr Genet Appl Livest Prod, vol 18. Organizing committee, 5th World Congr Genet Appl Livest Prod, Guelph Canada, pp 329–332

  • Wang CS, Rutledge JJ, Gianola D (1993) Marginal inferences about variance components in a mixed linear model using Gibbs sampling. Genet Sel Evol 25:41–62

    Google Scholar 

  • Wang CS, Rutledge JJ, Gianola D (1994) Bayesian analysis of mixed linear models via Gibbs sampling with an application to litter size in Iberian pigs. Genet Sel Evol 26:91–115

    Google Scholar 

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Communicated by D. Van Vleck

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Janss, L.L.G., Thompson, R. & Van Arendonk, A.M. Application of Gibbs sampling for inference in a mixed major gene-polygenic inheritance model in animal populations. Theoret. Appl. Genetics 91, 1137–1147 (1995). https://doi.org/10.1007/BF00223932

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  • DOI: https://doi.org/10.1007/BF00223932

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