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Erratum to “Quantitative Trait Loci for Body Weight in Layers Differ from Quantitative Trait Loci Specific for Antibody Responses to Sheep Red Blood Cells”
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Erratum to “Quantitative Trait Loci for Body Weight in Layers Differ from Quantitative Trait Loci Specific for Antibody Responses to Sheep Red Blood Cells” M. Siwek,*,1 S. J. B. Cornelissen,* A. J. Buitenhuis,* M. G. B. Nieuwland,† H. Bovenhuis,* R. P. M. A. Crooijmans,* M. A. M. Groenen,* H. K. Parmentier,† and J. J. van der Poel* *Animal Breeding and Genetics Group, and †Adaptation Physiology Group, Wageningen Institute of Animal Sciences, Wageningen University, PO Box 338, 6700 AH Wageningen, The Netherlands 2004 Poultry Science 83:853–859
Table 2. Quantitative trait loci for BW at different ages using the halfsib analysis model BW
Chromosome
Marker bracket
QTL variance1
F ratio
4 wk
GGA2 GGA23 GGA2 GGA6 GGA23 GGA7 GGA2 No QTL
LEI0127–ADL0236 MCW0165–ADL0289 LEI0127–ADL0236 ADL0377–ROS0028 MCW0165–ADL0289 MCW0133–MCW0183 LEI0127–ADL0236
0.033 0.029 0.037 0.036 0.030 0.042 0.033
3.612 3.122 3.963 3.863 3.252 4.513 3.612
6 wk 8 wk 12 wk 18 wk 1
Proportion of total variance explained by QTL. Suggestive linkage. 3 Genome-wide significance at the 5% level. 2
Table 3. Quantitative trait loci for BW at different ages using the line-cross analysis model BW
Chromosome
a (SE)1
d (SE)1
QTL variance2
Marker bracket
F ratio
4 wk
GGA1 GGA3 GGA27 GGA1 GGA2 GGA3 GGA17 GGA27 GGA1 GGA3 GGA27 GGA1 GGA2 GGA5 GGA27 GGA1 GGA5 GGA27
−0.43 (0.20) 0.16 (0.27) 0.88 (0.27) −0.08 (0.03) 0.05 (0.04) 0.02 (0.04) −0.02 (0.03) 0.17 (0.04) −0.03 (0.05) −0.01 (0.07) 0.17 (0.07) −0.02 (0.09) −0.21 (0.10) −0.16 (0.12) 0.17 (0.10) −0.06 (0.15) 0.21 (0.17) 0.44 (0.18)
1.59 (0.32) −2.02 (0.55) 0.99 (0.39) 0.28 (0.05) −0.28 (0.07) −0.36 (0.10) 0.15 (0.05) 0.25 (0.06) 0.42 (0.09) −0.57 (0.15) 0.35 (0.10) 0.75 (0.16) 0.72 (0.18) 0.37 (0.12) 0.73 (0.15) 1.15 (0.29) 1.00 (0.29) 0.82 (0.26)
0.044 0.020 0.023 0.062 0.027 0.022 0.018 0.050 0.031 0.024 0.028 0.032 0.031 0.019 0.036 0.024 0.019 0.023
ROS0081–ADL0356 MCW0162–MCW0004 MCW0350–MCW0076 ROS0081–ADL0356 ADL0146–MCW0157 MCW0162–MCW004 ADL0149–MCW0330 MCW0350–MCW0076 ROS00081–ADL0356 MCW0162–MCW004 MCW0350–MCW0076 ADL0356–MCW0273 ABR0004–MCW0142 MCW0038–MCW0214 MCW0350–MCW0076 ROS0081–ADL0356 MCW0029–ADK0298 MCW0350–MCW0076
14.923 6.714 7.774 21.263 8.813 7.24 5.84 16.933 10.413 7.823 9.243 10.643 10.223 6.254 12.193 8.083 6.414 7.563
6 WK
8 wk 12 wk
18 WK
1
Estimated QTL effects for the genetic model; a = additive effect; d = dominance effect. Proportion of total variance explained by QTL. 3 Genome-wide significance at the 5% level. 4 Suggestive linkage. 2
Downloaded from http://ps.oxfordjournals.org/ at National Chung Hsing University Library on April 10, 2014
An error occurred in the transfer of data from our database to the QTL software. This had a serious effect on the results of the half-sib and the line-cross analysis as published. Here we present the corrected QTL results obtained using the QTL express program, available through a web interface (http://qtl.cap.ed.ac.uk/) (Seaton, G., C. S. Haley, S. A. Knott, M. Kearsey, and P. M. Visscher. 2002. QTL Express: Mapping quantitative trait loci in simple and complex pedigrees. Bioinformatics 18:339–340).
Erratum to “Quantitative Trait Loci for Body Weight in Layers Differ from Quantitative Trait Loci Specific for Antibody Responses to Sheep Red Blood Cells” M. Siwek,*,1 S. J. B. Cornelissen,* A. J. Buitenhuis,* M. G. B. Nieuwland,† H. Bovenhuis,* R. P. M. A. Crooijmans,* M. A. M. Groenen,* H. K. Parmentier,† and J. J. van der Poel* *Animal Breeding and Genetics Group, and †Adaptation Physiology Group, Wageningen Institute of Animal Sciences, Wageningen University, PO Box 338, 6700 AH Wageningen, The Netherlands 2004 Poultry Science 83:853–859
Table 2. Quantitative trait loci for BW at different ages using the halfsib analysis model BW
Chromosome
Marker bracket
QTL variance1
F ratio
4 wk
GGA2 GGA23 GGA2 GGA6 GGA23 GGA7 GGA2 No QTL
LEI0127–ADL0236 MCW0165–ADL0289 LEI0127–ADL0236 ADL0377–ROS0028 MCW0165–ADL0289 MCW0133–MCW0183 LEI0127–ADL0236
0.033 0.029 0.037 0.036 0.030 0.042 0.033
3.612 3.122 3.963 3.863 3.252 4.513 3.612
6 wk 8 wk 12 wk 18 wk 1
Proportion of total variance explained by QTL. Suggestive linkage. 3 Genome-wide significance at the 5% level. 2
Table 3. Quantitative trait loci for BW at different ages using the line-cross analysis model BW
Chromosome
a (SE)1
d (SE)1
QTL variance2
Marker bracket
F ratio
4 wk
GGA1 GGA3 GGA27 GGA1 GGA2 GGA3 GGA17 GGA27 GGA1 GGA3 GGA27 GGA1 GGA2 GGA5 GGA27 GGA1 GGA5 GGA27
−0.43 (0.20) 0.16 (0.27) 0.88 (0.27) −0.08 (0.03) 0.05 (0.04) 0.02 (0.04) −0.02 (0.03) 0.17 (0.04) −0.03 (0.05) −0.01 (0.07) 0.17 (0.07) −0.02 (0.09) −0.21 (0.10) −0.16 (0.12) 0.17 (0.10) −0.06 (0.15) 0.21 (0.17) 0.44 (0.18)
1.59 (0.32) −2.02 (0.55) 0.99 (0.39) 0.28 (0.05) −0.28 (0.07) −0.36 (0.10) 0.15 (0.05) 0.25 (0.06) 0.42 (0.09) −0.57 (0.15) 0.35 (0.10) 0.75 (0.16) 0.72 (0.18) 0.37 (0.12) 0.73 (0.15) 1.15 (0.29) 1.00 (0.29) 0.82 (0.26)
0.044 0.020 0.023 0.062 0.027 0.022 0.018 0.050 0.031 0.024 0.028 0.032 0.031 0.019 0.036 0.024 0.019 0.023
ROS0081–ADL0356 MCW0162–MCW0004 MCW0350–MCW0076 ROS0081–ADL0356 ADL0146–MCW0157 MCW0162–MCW004 ADL0149–MCW0330 MCW0350–MCW0076 ROS00081–ADL0356 MCW0162–MCW004 MCW0350–MCW0076 ADL0356–MCW0273 ABR0004–MCW0142 MCW0038–MCW0214 MCW0350–MCW0076 ROS0081–ADL0356 MCW0029–ADK0298 MCW0350–MCW0076
14.923 6.714 7.774 21.263 8.813 7.24 5.84 16.933 10.413 7.823 9.243 10.643 10.223 6.254 12.193 8.083 6.414 7.563
6 WK
8 wk 12 wk
18 WK
1
Estimated QTL effects for the genetic model; a = additive effect; d = dominance effect. Proportion of total variance explained by QTL. 3 Genome-wide significance at the 5% level. 4 Suggestive linkage. 2
Downloaded from http://ps.oxfordjournals.org/ at National Chung Hsing University Library on April 10, 2014
An error occurred in the transfer of data from our database to the QTL software. This had a serious effect on the results of the half-sib and the line-cross analysis as published. Here we present the corrected QTL results obtained using the QTL express program, available through a web interface (http://qtl.cap.ed.ac.uk/) (Seaton, G., C. S. Haley, S. A. Knott, M. Kearsey, and P. M. Visscher. 2002. QTL Express: Mapping quantitative trait loci in simple and complex pedigrees. Bioinformatics 18:339–340).