Comparison of genetic models for analysing the effects of a PvuII polymorphism in the oestrogen receptor 1(ESR1) gene on prolificacy in an Iberian × Meishan pig population
The effect of a previously reported PvuII polymorphism in oestrogen receptor 1 (ESR1) was analysed in an F2 population of Iberian × Meishan pigs. We tested three hypotheses (1) that a causal mutation was fixed in the parental populations, (2) that a causal mutation existed that was in complete linkage disequilibrium with the alleles of the PvuII polymorphism and (3) that a causal mutation existed in linkage disequilibrium within each parental population. The third model was the most plausible based on the available data. ESR1 alleles displayed different patterns of linkage disequilibrium with the causal mutation in each of the parental populations and the PvuII polymorphism was clearly not the causal mutation. As a consequence, the use of the ESR1 mutation for selection must be evaluated for a particular pig population before it is applied. © 2006 The Authors.
| Main Authors: | , , , , , |
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| Format: | journal article biblioteca |
| Language: | eng |
| Published: |
2006
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| Online Access: | http://hdl.handle.net/20.500.12792/4913 |
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| Summary: | The effect of a previously reported PvuII polymorphism in oestrogen receptor 1 (ESR1) was analysed in an F2 population of Iberian × Meishan pigs. We tested three hypotheses (1) that a causal mutation was fixed in the parental populations, (2) that a causal mutation existed that was in complete linkage disequilibrium with the alleles of the PvuII polymorphism and (3) that a causal mutation existed in linkage disequilibrium within each parental population. The third model was the most plausible based on the available data. ESR1 alleles displayed different patterns of linkage disequilibrium with the causal mutation in each of the parental populations and the PvuII polymorphism was clearly not the causal mutation. As a consequence, the use of the ESR1 mutation for selection must be evaluated for a particular pig population before it is applied. © 2006 The Authors. |
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