Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-24T11:56:52.508Z Has data issue: false hasContentIssue false
  • English
  • Français

Mapping QTLs for binary traits in backcross and F2 populations

Published online by Cambridge University Press:  14 April 2009

P. M. Visscher ,
C. S. Haley  and
S. A. Knott
P. M. Visscher*
Affiliation:
Roslin Institute(Edinburgh), Roslin, Midlothian EH25 9PS, Scotland
C. S. Haley
Affiliation:
Roslin Institute(Edinburgh), Roslin, Midlothian EH25 9PS, Scotland
S. A. Knott
Affiliation:
Institute of Cell, Animal, and Population Biology, University of Edinburgh, West Mains Road, Edinburgh EH9 3JT, Scotland
*
* Corresponding author. Present address: Institute of Ecology and Resource Management, University of Edinburgh, West Mains Road, Edinburgh EH9 3JG, Scotland. Tel: +44 131 535 4052, fax: +44 131 667 2601
Rights & Permissions [Opens in a new window]

Summary

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Mapping quantitative trait loci (QTLs) for binary traits in backcross and F2 populations was investigated using stochastic stimulation. Data were analysed using either linear regression or a generalized linear model. Parameters which were varied in the simulations were the population size (200 and 500), heritability in the backcross or F2 population (0·01, 0·05, 0·10), marker spacing (10 and 20 cM) and the incidence of the trait (0·50, 0·25, 0·10). The methods gave very similar results in terms of estimates of the QTL location and QTL effects and power of QTL detection, and it was concluded that in practice treating the zero-one data as continuous and using standard linear regression was efficient.

Type
Research Article
Information
Genetics Research , Volume 68 , Issue 1 , August 1996 , pp. 55 - 63
Copyright
Copyright © Cambridge University Press 1996

References

Ducrocq, V. & Quaas, R. L. (1988). Prediction of genetic response to truncation selection across generation. Journal of Dairy Science 71, 2543–2553.Google Scholar
Falconer, D. S. & Mackay, T. F. C. (1996). Introduction to Quantitative Genetics, 4th edn. Harlow, England: Longman.Google Scholar
Haldane, J. B. S. (1919). The combination of linkage values and the calculation of distances between the loci of linked factors. Journal of Genetics 8, 299–309.Google Scholar
Haley, C. S. & Knott, S. A. (1992). A simple regression method for mapping quantitative trait loci in line crosses using flanking markers. Heredity 69, 315–324.CrossRefGoogle ScholarPubMed
Jansen, R. C. (1992). A general mixture model for mapping quantitative trait loci by using molecular markers. Theoretical and Applied Genetics 85, 252–260.CrossRefGoogle ScholarPubMed
Jansen, R. C. (1993). Interval mapping of multiple quantitative trait loci. Genetics 135, 205–211.CrossRefGoogle ScholarPubMed
Jansen, R. C. (1994). Controlling the type I and type II errors in mapping quantitative trait loci. Genetics 138, 871–881.CrossRefGoogle ScholarPubMed
Kruglyak, L. & Lander, E. S. (1995). A nonparametric approach for mapping quantitative trait loci. Genetics 139, 1421–1428.Google Scholar
Lander, E. S. & Botstein, D. B. (1989). Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121, 185–199.CrossRefGoogle ScholarPubMed
Martinez, O. & Curnow, R. N. (1992). Estimating the locations and the sizes of the effects of quantitative trait loci using flanking markers. Theoretical and Applied Genetics 85, 480–488.CrossRefGoogle ScholarPubMed
McCullagh, P. & Nelder, J. A. (1989). Generalized Linear Models. London: Chapman and Hall.Google Scholar
Meijerink, A. & Gianola, D. (1985). Linear versus nonlinear methods of sire evaluation for categorical traits: a simulation study. Genetics, Selection, Evolution 17, 115–132.CrossRefGoogle Scholar
Mood, A. M., Graybill, F. A. & Boes, D. C. (1974). Introduction to the Theory of Statistics. New York: McGraw-Hill.Google Scholar
Numerical Algorithms Group (1990). The NAG Fortran Library Manual, mark 14. Oxford: NAG Ltd.Google Scholar
Perez-Enciso, M., Tempelman, R. J. & Gianola, D. (1993). A comparison between linear and Poisson mixed models for litter size in Iberian pigs. Livestock Production Science 35, 303–316.CrossRefGoogle Scholar
Zeng, Z.-B. (1993). Theoretical basis for separation of multiple linked gene effects in mapping quantitative trait loci. Proceedings of the National Academy of Sciences of the USA 90, 10972–10976.CrossRefGoogle ScholarPubMed
Zeng, Z.-B. (1994). Precision mapping of quantitative trait loci. Genetics 136, 1457–1468.CrossRefGoogle ScholarPubMed