Multiple-trait QTL mapping and genomic prediction for wool traits in sheep
| Autor: | Daniel Brown, S. Bolormaa, Sue Hatcher, Michael E. Goddard, Andrew Swan, Julius H. J. van der Werf, Hans D. Daetwyler, Nasir Moghaddar |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Candidate gene Animal breeding Genotype lcsh:QH426-470 [SDV]Life Sciences [q-bio] Quantitative Trait Loci Single-nucleotide polymorphism Genome-wide association study Breeding Best linear unbiased prediction Quantitative trait locus Biology Polymorphism Single Nucleotide 03 medical and health sciences Genetics Animals Ecology Evolution Behavior and Systematics lcsh:SF1-1100 2. Zero hunger Genome Sheep Wool 0402 animal and dairy science Genomics 04 agricultural and veterinary sciences General Medicine Heritability 040201 dairy & animal science lcsh:Genetics 030104 developmental biology Trait Animal Science and Zoology lcsh:Animal culture Genome-Wide Association Study Research Article |
| Zdroj: | Genetics Selection Evolution Genetics Selection Evolution, BioMed Central, 2017, 49 (1), pp.62. ⟨10.1186/s12711-017-0337-y⟩ Genetics Selection Evolution, Vol 49, Iss 1, Pp 1-22 (2017) Genetics, Selection, Evolution : GSE |
| ISSN: | 0999-193X 1297-9686 |
| DOI: | 10.1186/s12711-017-0337-y⟩ |
| Popis: | Background The application of genomic selection to sheep breeding could lead to substantial increases in profitability of wool production due to the availability of accurate breeding values from single nucleotide polymorphism (SNP) data. Several key traits determine the value of wool and influence a sheep’s susceptibility to fleece rot and fly strike. Our aim was to predict genomic estimated breeding values (GEBV) and to compare three methods of combining information across traits to map polymorphisms that affect these traits. Methods GEBV for 5726 Merino and Merino crossbred sheep were calculated using BayesR and genomic best linear unbiased prediction (GBLUP) with real and imputed 510,174 SNPs for 22 traits (at yearling and adult ages) including wool production and quality, and breech conformation traits that are associated with susceptibility to fly strike. Accuracies of these GEBV were assessed using fivefold cross-validation. We also devised and compared three approximate multi-trait analyses to map pleiotropic quantitative trait loci (QTL): a multi-trait genome-wide association study and two multi-trait methods that use the output from BayesR analyses. One BayesR method used local GEBV for each trait, while the other used the posterior probabilities that a SNP had an effect on each trait. Results BayesR and GBLUP resulted in similar average GEBV accuracies across traits (~0.22). BayesR accuracies were highest for wool yield and fibre diameter (>0.40) and lowest for skin quality and dag score ( |
| Databáze: | OpenAIRE |
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