Detection and modelling of time-dependent QTL in animal populations

Genetics Selection Evolution

Volumn 40, Issue 2, 2008, Pages 177-194

  Lund, Mogens S ^a   Sorensen, Peter ^a   Madsen, Per ^a   Jaffrézic, Florence ^b  

^a AARHUS UNIVERSITY   (Denmark)

^b CEMAGREF   (France)

Author keywords

Longitudinal data; QTL detection; Random regression models

Indexed keywords

PROTEIN;

ALLEE EFFECT; CATTLE; GAMETE; HERITABILITY; LACTATION; NUMERICAL MODEL; PROTEIN; QUANTITATIVE ANALYSIS; REGRESSION ANALYSIS; TIME DEPENDENT BEHAVIOR; VARIANCE ANALYSIS;

ALLELE; ANIMAL; ARTICLE; CATTLE; COMPUTER SIMULATION; FEMALE; GENETICS; LACTATION; METABOLISM; QUANTITATIVE TRAIT LOCUS; STATISTICAL MODEL; TIME;

ALLELES; ANIMALS; CATTLE; COMPUTER SIMULATION; FEMALE; LACTATION; LIKELIHOOD FUNCTIONS; PROTEINS; QUANTITATIVE TRAIT LOCI; TIME FACTORS;

ANIMALIA; BOS;

EID: 39849109510     PISSN: 0999193X     EISSN: 12979686     Source Type: Journal    
DOI: 10.1051/gse:2007043     Document Type: Article

References (25)

1. Diggle P.J., Liang K.Y., Zeger S.L., Analysis of longitudinal data, Oxford University Press, 1994.
2. Druet T., Jaffrézic F., Boichard D., Ducrocq V., Modeling lactation curves and estimation of genetic parameters for first lactation test-day records of French Holstein cows, J. Dairy Sci. 86 (2003) 2480-2490.
3. Fernando R.L., Grossman M., Marker-assisted selection using best linear unbiased prediction, Genet. Sel. Evol. 21 (1989) 467-477.
4. Grignola F.E., Hoeschele I., Tier B., Mapping quantitative trait loci in out-cross populations via residual maximum likelihood, Genet. Sel. Evol. 28 (1996) 479-490.
5. Jaffrézic F., Pletcher S.D., Statistical models for estimating the genetic basis of repeated measures and other function-valued traits, Genetics 156 (2000) 913-922.
6. Jaffrézic F., Thompson R., Hill W.G., Structured antedependencemodels for genetic analysis of multivariate repeatedmeasures in quantitative traits, Genet. Res. 82 (2003) 55-65.
7. Jakobsen J.H., Madsen P., Jensen J., Pedersen J., Christensen L.G., Sorensen D.A., Genetic parameters for milk production and persistency for Danish Holsteins estimated in random regression models using REML, J. Dairy Sci. 85 (2002) 1607-1616.
8. Jensen J., Mantysaari E., Madsen P., Thompson R., Residual maximum likelihood estimation of (co)variance components in multivariatemixed linear models using average information, J. Indian Soc. Agric. Stat. 49 (1997) 215-236.
9. Kirkpatrick M., Heckman N., A quantitative geneticmodel for growth, shape, reaction norms, and other infinite-dimensional characters, J. Math. Biol. 27 (1989) 429-450.
10. Lidauer M., Pedersen J., Pösö J., Mäntysaari E.A., Strandén I., Madsen P., Nielen U.S., Eriksson J.-A., Johansson K., Aamand G.P., Joint Nordic Test Day Model: Evaluation Model, Interbull Bull. 35 (2006) 103-107.
11. Lund M.S., Sorensen P., Madsen P., Linkage analysis in longitudinal data using random regression, Proc. 7th WCGALP, 32, 713-716, CD-rom Communication No 21-28, Montpellier, France, 2002.
12. Lund M.S., Sorensen P., Guldbrandsten B., Sorensen D.A., Multitrait fine mapping of quantitative trait loci using combined linkage disequilibria and linkage analysis, Genetics 163 (2003) 405-410.
13. Ma C.X., Casella G., Wu R., Functional mapping of quantitative trait loci underlying the character process: a theoretical framework, Genetics 161 (2002) 1751-1762.
14. Macgregor S., Knott S.A., White I., Visscher P.M., Longitudinal variance-components analysis of the Framingham heart study data, BMC Genetics 4 (2003) S22, 5 p.
15. Macgregor S., Knott S.A., White I., Visscher P.M., Quantitative trait locus analysis of longitudinal quantitative trait data in complex pedigrees, Genetics 171 (2005) 1365-1376.
16. Madsen P., Sørensen P., Su G., Damgaard L.H., Thomsen H., Labouria R., DMU - a package for analyzing multivariatemixed models, Proc. 8th WCGALP, CD-rom Communication No 27-11, Belo Horizonte, Brazil, 2006.
17. Meuwissen T.H.E., Goddard M.E., Finemapping of quantitative traits using linkage disequilibria with closely linked marker loci, Genetics 155 (2000) 421-430.
18. Meyer K., Grasser H.U., Hammond K., Estimates of genetic parameters for first lactation test day production of Australian black and white cows, Livest. Prod. Sci. 21 (1989) 177-199.
19. Moreno C.R., Elsen J.M., Le Roy P., Ducrocq V., Interval mapping methods for detecting QTL affecting survival and time-to-event phenotypes, Genet. Res. 85 (2005) 139-149.
20. Pletcher S.D., Geyer C.J., The genetic analysis of age-dependent traits: modeling a character process, Genetics 153 (1999) 825-833.
21. Pletcher S.D., Jaffrézic F., Generalized character process models: estimating the genetic basis of traits that cannot be observed and that change with age or environmental conditions, Biometrics 58 (2002) 157-162.
22. Rodriguez-Zas S.L., Southey B.R., Heyen D.W., Lewin H.A., Detection of quantitative trait loci influencing dairy traits using a model for longitudinal data, J. Dairy Sci. 85 (2002) 2681-2691.
23. Wang T., Fernando R.H., van der Beek S., van Arendonk J.A.M., Covariance between relatives for a marked quantitative trait locus, Genet. Sel. Evol. 27 (1995) 251-274.
24. White I.M.S., Thompson R., Brotherstone S., Genetic and environmental smoothing of lactation curves with cubic splines, J. Dairy. Sci. 82 (1999) 632-638.
25. Wu R., Hou W., A hyperspace model to decipher the genetic architecture of developmental processes: allometry meets ontogeny, Genetics 172 (2006) 627-637.