Simulation study on the application of Gibbs sampling for major gene detection in a population of laying hens

• Autorzy: Szydlowski M , Szwaczkowski T.
• Języki publikacji: EN

Abstrakty

EN

A method for the detection of segregating major genes based on the analysis of estimated marginal posterior major gene variance density was examined. The properties of the method were investigated using data sets simulated for a real population of laying hens consisting of eleven generations. Marginal posterior densities of model parameters were estimated by the Gibbs sampling approach proposed by Janss et al. (1995). With the data of about 4000 observations it was possible to detect a major gene responsible for one third of the genetic variance and one tenth of the phenotypic variance, irrespectively of the degree of dominance at the major locus. The inference based on the posterior marginal major gene variance can be sensitive to skewness of the data. It was shown that skewness of 0.2 can lead to a false detection of a major gene. The method is robust against a non-genetic mixture of normal distributions.

Słowa kluczowe

EN

segregation analysis; hen; egg production; laying hen; major gene; detection; genetic variation; Gibbs sampling; animal model

• Wydawca: -
• Czasopismo: Journal of Applied Genetics
• Rocznik: 1998
• Tom: 39
• Numer: 4
• Opis fizyczny: p.321-330,fig.

Twórcy

autor

Szydlowski M

• August Cieszkowski Agricultural University, Wolynska 33, 60-637 Poznan, Poland

autor

Szwaczkowski T.

Bibliografia

• Besbes В., Ducrocq V., Foulley J.L., Protais M., Tavernier A., Tixer-Boichard M., Beaumont C. (1993). Box-Cox transformation of egg-production traits of laying hens to improve genetic parameter estimation and breeding value evaluation. Livest. Prod. Sci. 33: 313-326.
• Churchill G.A., Doerge R.W. (1994). Empirical threshold values for quantitative traits mapping. Genetics 138: 963-971.
• Demenais F., Lathrop M., Lalouel J.M. (1986). Robustness and power of the unified model in the analysis of quantitative measurements. Am. J. Hum. Genet. 38: 228-234.
• Elston R.C., Stewart J. (1971). A general model for the genetic analysis of pedigree data. Hum. Hered. 21: 523-542.
• Guo S.W., Thompson E.A. (1994). Monte Carlo estimation of mixed models for large complex pedigrees. Biometrics 50: 417-432.
• Ibe S.N., Hill W.G. (1988). Transformation of poultry egg production data to improve normality, homoscedasticity and linearity of genotypic regression. J. Anim. Breed. Genet. 105: 231-240.
• Janss L.L.G., Thompson R., Van Arendonk J.A.M. (1995). Application of Gibbs sampling for inference in a mixed major gene-polygenic inheritance model in animal populations. Theor. Appl. Genet. 91: 1137-1147.
• Le Roy P., Elsen J.M. (1992). Simple test statistics for major gene detection: a numerical comparison. Theor. Appl. Genet. 83: 635-644.
• Maclean C.J., Morton N.E., Lew R. (1975). Analysis of family resemblance. IV Operational characteristics of segregation analysis. Am. J. Hum. Genet. 27: 365-384.
• Maclean C.J., Morton N.E., Yee S. (1984). Combined analysis of genetic segregation and linkage under an oligogenic model. Comput. Biomed. Res. 17: 471-480.
• Scott D.W. (1992). Multivariate Density Estimation. Wiley and Sons, New York.
• 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: 163-176.
• Szydłowski M. (1998). Gibbon - C++ program for Monte Carlo estimation of mixed models. Proceedings of 6th WCGALP, vol 27: 479-480, Armidale, Australia.
• Uimari P., Kennedy B.W., Dekkers J.C.M. (1996). Power and sensitivity of some simple tests for detection of major gene in outbred populations. J. Anim. Breed. Genet. 113: 17-28.