Power of QTL detection by either fixed or random models in half-sib designs

Genetics Selection Evolution

Volumn 37, Issue 6, 2005, Pages 601-614

  Kolbehdari, Davood ^a,b   Jansen, Gerald B ^c   Schaeffer, Lawrence R ^a   Allen, Brian O ^d  

^a UNIVERSITY OF GUELPH   (Canada)

^b UNIVERSITY OF TEHRAN   (Iran)

^c Dekoppel Consulting   (Canada)

^d UNIVERSITY OF GUELPH   (Canada)

Author keywords

Half sib design; Power; QTL detection; Quantitative trait loci

Indexed keywords

GENETIC VARIATION;

ALLELE; ANIMAL; ARTICLE; BIOLOGICAL MODEL; FAMILY SIZE; GENE FREQUENCY; GENETIC MARKER; GENOTYPE; METHODOLOGY; MONTE CARLO METHOD; QUANTITATIVE TRAIT LOCUS; RANDOMIZATION; REGRESSION ANALYSIS;

ALLELES; ANIMALS; FAMILY CHARACTERISTICS; GENE FREQUENCY; GENETIC MARKERS; GENOTYPE; MODELS, GENETIC; MONTE CARLO METHOD; QUANTITATIVE TRAIT LOCI; RANDOM ALLOCATION; REGRESSION ANALYSIS; RESEARCH DESIGN;

EID: 29244455039     PISSN: 0999193X     EISSN: 12979686     Source Type: Journal    
DOI: 10.1051/gse:2005021     Document Type: Article

References (27)

1. Abdel-Azim G., Freeman A.E., A rapid method for computing the inverse of the gametic covariance matrix between relatives for a marked quantitative trait locus, Genet. Sel. Evol. 33 (2001) 153-173.
2. Almasy L., Blangero J., Multipoint quantitative trait linkage analysis in general pedigree, Am. J. Hum. Genet. 62 (1998) 1198-1211.
3. Amos C.I., Robust variance-components approach for assessing genetic linkage in pedigrees, Am. J. Hum. Genet. 54 (1994) 535-543.
4. De Koning D.J., Rattinik A.P., Harlizius M., van Arendonk J.A.M., Brascamp E.W., Groenen M.A.M., Genome-wide scan for body composition in pigs reveals important role of imprinting, Proc. Natl. Acad. Sci. USA 97 (2000) 7947-7950.
5. Fernando R.L., Grossman M., Marker assisted selection using best linear unbiased prediction, Genet. Sel. Evol. 21 (1989) 467-477.
6. George A.W., Visscher P.M., Haley C.S., Mapping quantitative trait loci in complex pedigrees, Genetics 156 (2000) 2081-2092.
7. Georges M.D., Nielsen M., Mackinnon A., Mishra R., Okimoto R., Pasquino A.T., Sargeant L.S., Sorensen A., Steele M.R., Zao Z., Womack J.E., Hoeschele I., Mapping quantitative trait loci controlling milk production in dairy cattle by exploiting progeny testing, Genetics 139 (1995) 907-920.
8. Gilmour A.R., Thompson R., Cullis B.R., Average information REML: an efficient algorithm for variance parameter estimation in linear mixed models, Biometrics 51 (1995) 1440-1450.
9. Grignola F.E., Hoeschele I., Tier B., Mapping quantitative trait loci in outcross populations via residual maximum likelihood. I. Methodology, Genet. Sel. Evol. 28 (1996) 479-490.
10. Haley C.S., Knott S.A., A simple regression method for mapping quantitative trait loci in line crosses using flanking markers, Heredity 69 (1992) 315-324.
11. Heath S.C., Markov chain Monte Carlo segregation and linkage analysis for oligogenic models, Am. J. Hum. Genet. 61 (1997) 748-760.
12. Hoeschele I., Elimination of quantitative trait loci equations in an animal model in corporating genetic marker data, J. Dairy Sci. 76 (1993) 1693-1713.
13. Hoeschele I., Uimari P., Grignola F.E., Zhang Q., Gage K.M., Advances in statistical methods to map quantitative trait loci in outbred populations, Genetics 147 (1997) 1445-1457.
14. Jansen R.C., Stam P., High resolution of quantitative trait into multiple loci via interval mapping, Genetics 136 (1994) 1447-1455.
15. Knott S.A., Haley C.S., Multitrait least squares for quantitative trait loci detection, Genetics 156 (2000) 899-911.
16. Knott S.A., Elsen J.M., Haley C.S., Methods for multiple marker mapping of quantitative trait loci in half-sib populations, Theor. Appl. Genet. 93 (1996) 71-80.
17. Lund M.S., Sørensen P., Guldbrandtsen B., Sorensen D.A., Multitrait fine mapping of quantitative trait loci using combined linkage disequilibria and linkage analysis, Genetics 163 (2003) 405-410.
18. Pong-Wong R., George A.W., Woolliams J.A., Haley C.S., A simple and rapid method for calculating identity-by-descent matrices using multiple markers, Genet. Sel. Evol. 33 (2001) 453-471.
19. Thompson E.A., Monte Carlo estimation of multilocus autozygosity probabilities, in: Proceeding of the Interface Conference, SAS®, Cary, NC, 1994, pp. 498-506.
20. Thompson E.A., Heath S.C., Estimation of conditional multilocus gene identity among relatives, in: Seillier-Moseiwitch F., Donnelly P., Waterman M. (Eds.), Statistics in Molecular Biology, Springer-Verlag IMS Lecture Notes Series, New York, 1999, pp. 95-113.
21. Uimari P., Thaller G., Hoeschele I., The use of multiple markers in a Bayesian method for mapping quantitative trait loci, Genetics 143 (1996) 1831-1842.
22. van Arendonk J.A.M., Tier B., Kinghorn B.P., Use of multiple genetic markers in prediction of breeding values, Genetics 137 (1994) 319-329.
23. van der Beek S., van Arendonk J.A.M., Groen A.F., Power of two-and three-generation QTL mapping experiments in an outbred population containing full-sib or half-sib families, Theor. Appl. Genet. 91 (1995) 1115-1124.
24. VanRaden P.M., Wiggans G.R., Derivation, calculation, and use of national animal model information, J. Dairy Sci. 74 (1991) 2737-2746.
25. Wang T., Fernando R.L., van der Beek S., Grossman M., van Arendonk J.A.M., Covariance between relatives for a marked quantitative trait locus, Theor. Appl. Genet. 91 (1995) 251-274.
26. Weller J.I., Kashi Y., Soller M., Power of daughter and granddaughter designs for determining linkage between marker loci and quantitative trait loci in dairy cattle, J. Dairy Sci. 73 (1990) 2525-2573.
27. Williams J.T., Blangero J., Power of variance component linkage analysis to detect quantitative trait loci, Ann. Hum. Genet. 63 (1999) 545-563.