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The great-grand-daughter design: a simple strategy to increase the power of a grand-daughter design for QTL mapping

Published online by Cambridge University Press:  01 October 1999

WOUTER COPPIETERS ,
ALEXANDRE KVASZ ,
JUAN-JOSÉ ARRANZ ,
BERNARD GRISART ,
JULIETTE RIQUET ,
FRÉDÉRIC FARNIR  and
MICHEL GEORGES
WOUTER COPPIETERS
Affiliation:
Department of Genetics of Genetics, Faculty of Veterinary Medicine, University of Liège (B43), 20 Bd de Colonster, 4000 Liège, Belgium
ALEXANDRE KVASZ
Affiliation:
Department of Genetics of Genetics, Faculty of Veterinary Medicine, University of Liège (B43), 20 Bd de Colonster, 4000 Liège, Belgium
JUAN-JOSÉ ARRANZ
Affiliation:
Department of Genetics of Genetics, Faculty of Veterinary Medicine, University of Liège (B43), 20 Bd de Colonster, 4000 Liège, Belgium
BERNARD GRISART
Affiliation:
Department of Genetics of Genetics, Faculty of Veterinary Medicine, University of Liège (B43), 20 Bd de Colonster, 4000 Liège, Belgium
JULIETTE RIQUET
Affiliation:
Department of Genetics of Genetics, Faculty of Veterinary Medicine, University of Liège (B43), 20 Bd de Colonster, 4000 Liège, Belgium
FRÉDÉRIC FARNIR
Affiliation:
Department of Genetics of Genetics, Faculty of Veterinary Medicine, University of Liège (B43), 20 Bd de Colonster, 4000 Liège, Belgium
MICHEL GEORGES
Affiliation:
Department of Genetics of Genetics, Faculty of Veterinary Medicine, University of Liège (B43), 20 Bd de Colonster, 4000 Liège, Belgium
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Abstract

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In dairy cattle, quantitative trait loci (QTL) are usually mapped using the grand-daughter design (GDD), i.e. sets of progeny-tested paternal half-brothers. Linkage information is typically extracted from the segregation of the sire chromosomes amongst their sons. We herein propose to increase the power of a GDD by exploiting the frequently occurring relationship between sires and grandsons which has so far been ignored in most methods of analysis. The proposed approach is a multipoint interval mapping method based on the Wilcoxon sum-of-rank test. Three alternative approaches to combine information from sons and grandsons are evaluated by simulation. In these either (i) sons and grandsons are ranked separately, (ii) sons and grandsons are ranked separately but the sign of the QTL effect is constrained to be the same in both generations, or (iii) sons and grandsons are ranked jointly. The proposed methods have been applied on a real data-set in which a GDD including 907 sons is analysed with a marker map comprising nine microsatellites spanning 46 cM on bovine chromosome 6.

Type
Research Article
Information
Genetics Research , Volume 74 , Issue 2 , October 1999 , pp. 189 - 199
Copyright
© 1999 Cambridge University Press