Comparison of estimated breeding values, daughter yield deviations and de-regressed proofs within a whole genome scan for QTL

An important issue in quantitative trait loci (QTL) detection is the use of phenotypic measurement as a dependent variable. Daughter yield deviations (DYDs) as the unit of choice are not available for all traits of interest. The use of de-regressed proofs (DRPFs) of estimated breeding values (EBVs) is an alternative to using daughter yield deviations. The objective of this study was to examine possible differences between DYDs and DRPFs within the use of QTL detection. The pedigree used was part of the granddaughter design of the German QTL effort. Consisting marker maps for livestock species were derived from all available data of 16 German Holstein paternal half-sib families with a total of 872 sires. The number of progeny ranged from 19 to 127. A whole genome scan was performed using weighted and unweighted multimarker regression with DYDs, DRPFs and EBVs as dependent variables for the traits milk, fat and protein yields. Results were compared with respect to the number of QTL detected. A similar number of QTL was detected with DRPFs and DYDs. Also, when dependent variables were weighted according to the variance of the trait, a higher number of QTL was detected at the desired level of significance as compared to using unweighted variables.

[1]  N. Reinsch A multiple-species, multiple-project database for genotypes at codominant loci , 1999 .

[2]  M. Georges,et al.  A QTL with major effect on milk yield and composition maps to bovine Chromosome 14 , 1998, Mammalian Genome.

[3]  D. de Koning,et al.  A search for quantitative trait loci for milk production traits on chromosome 6 in Finnish Ayrshire cattle. , 1999, Animal genetics.

[4]  P. VanRaden,et al.  Detection of putative loci affecting conformational type traits in an elite population of United States Holsteins using microsatellite markers. , 1998, Journal of dairy science.

[5]  D. Zaykin,et al.  Using the false discovery rate approach in the genetic dissection of complex traits: a response to Weller et al. , 2000, Genetics.

[6]  P. VanRaden,et al.  Detection of loci affecting milk production and health traits in an elite US Holstein population using microsatellite markers , 1997 .

[7]  R. Spelman,et al.  Quantitative trait loci analysis for five milk production traits on chromosome six in the Dutch Holstein-Friesian population. , 1996, Genetics.

[8]  Margaret J. Mackinnon,et al.  The effects of selection on linkage analysis for quantitative traits. , 1992, Genetics.

[9]  Georgios Banos,et al.  Dependent Variables in International Sire Evaluations , 1995 .

[10]  M. Georges,et al.  Mapping quantitative trait loci controlling milk production in dairy cattle by exploiting progeny testing. , 1995, Genetics.

[11]  S. Lien,et al.  Associations between casein haplotypes and milk yield traits. , 1995, Journal of dairy science.

[12]  D. de Koning,et al.  Multiple marker mapping of quantitative trait loci of Finnish dairy cattle by regression. , 1997, Journal of dairy science.

[13]  J. Weller,et al.  Mapping quantitative trait loci with DNA microsatellites in a commercial dairy cattle population. , 2009, Animal genetics.

[14]  J. Weller,et al.  A new approach to the problem of multiple comparisons in the genetic dissection of complex traits. , 1998, Genetics.

[15]  J. Weller,et al.  Estimation of candidate gene effects in dairy cattle populations. , 1998, Journal of dairy science.

[16]  M. Georges,et al.  A genetic linkage map of the bovine genome , 1994, Nature Genetics.

[17]  J. Keele,et al.  A genetic linkage map for cattle. , 1994, Genetics.

[18]  P M VanRaden,et al.  Derivation, calculation, and use of national animal model information. , 1991, Journal of dairy science.

[19]  M. Georges,et al.  A QTL affecting milk yield and composition maps to bovine chromosome 20: a confirmation. , 1998, Animal genetics.

[20]  J. Weller,et al.  Mapping and analysis of dairy cattle quantitative trait loci by maximum likelihood methodology using milk protein genes as genetic markers. , 1994, Genetics.

[21]  B. Danell,et al.  Associations of breeding values for disease traits and genetic markers in dairy cattle estimated with a mixed model. , 1993, Journal of dairy science.

[22]  C. Schrooten,et al.  Whole genome scan to detect quantitative trait loci for conformation and functional traits in dairy cattle. , 2000, Journal of dairy science.

[23]  J. Keele,et al.  A second-generation linkage map of the bovine genome. , 1997, Genome research.

[24]  I. Hoeschele,et al.  Mapping quantitative trait loci for milk production and health of dairy cattle in a large outbred pedigree. , 1998, Genetics.

[25]  P. VanRaden,et al.  Mapping economic trait loci for somatic cell score in Holstein cattle using microsatellite markers and selective genotyping. , 2009, Animal genetics.

[26]  R. Doerge,et al.  Empirical threshold values for quantitative trait mapping. , 1994, Genetics.

[27]  J. Rendel,et al.  Linkage between amylase-1 locus and a major gene for milk fat content in cattle. , 2009, Animal genetics.