Combined Analyses of Data From Quantitative Trait Loci Mapping Studies: Chromosome 4 Effects on Porcine Growth and Fatness

Author:

Walling Grant A1,Visscher Peter M2,Andersson Leif3,Rothschild Max F4,Wang Lizhen4,Moser Gerhard5,Groenen Martien A M6,Bidanel Jean-Pierre7,Cepica Stanislav8,Archibald Alan L1,Geldermann Hermann5,de Koning Dirk J6,Milan Denis9,Haley Chris S1

Affiliation:

1. Roslin Institute (Edinburgh), Roslin, Midlothian EH25 9PS, United Kingdom

2. Institute of Ecology and Resource Management, University of Edinburgh, Edinburgh EH9 3JG, United Kingdom

3. Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, S-750 07 Uppsala, Sweden

4. Department of Animal Science, Iowa State University, Ames, Iowa 50011

5. Department of Animal Breeding and Biotechnology, University of Hohenheim, D-70593 Stuttgart, Germany

6. Animal Breeding and Genetics Group, Wageningen Institute of Animal Sciences, Wageningen Agricultural University, 6700 AH Wageningen, Netherlands

7. INRA, Station de Génétique Quantitative et Appliquée, 78352 Jouy-en-Josas, France

8. Institute of Animal Physiology and Genetics, Academy of Sciences of the Czech Republic, 277 21 Libechov, Czech Republic

9. INRA, Laboratoire de Génétique Cellulaire, 31326 Castanet Tolosan, France

Abstract

Abstract For many species several similar QTL mapping populations have been produced and analyzed independently. Joint analysis of such data could be used to increase power to detect QTL and evaluate population differences. In this study, data were collated on almost 3000 pigs from seven different F2 crosses between Western commercial breeds and either the European wild boar or the Chinese Meishan breed. Genotypes were available for 31 markers on chromosome 4 (on average 8.3 markers per population). Data from three traits common to all populations (birth weight, mean backfat depth at slaughter or end of test, and growth rate from birth to slaughter or end of test) were analyzed for individual populations and jointly. A QTL influencing birth weight was detected in one individual population and in the combined data, with no significant interaction of the QTL effect with population. A QTL affecting backfat that had a significantly greater effect in wild boar than in Meishan crosses was detected. Some evidence for a QTL affecting growth rate was detected in all populations, with no significant differences between populations. This study is the largest F2 QTL analysis achieved in a livestock species and demonstrates the potential of joint analysis.

Publisher

Oxford University Press (OUP)

Subject

Genetics

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