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Published on: February 3, 2013
Linkage disequilibrium and the infinitesimal limit
1Institute of Cell, Animal and Population Biology, University of Edinburgh, King's buildings, Edinburgh, EH9 3JT, United Kingdom.
The Fisher-Bulmer model in quantitative genetics describes within-family trait distributions. This study explores conditions under which this model arises, particularly concerning linkage disequilibrium and infinite loci.
Area of Science:
- Quantitative genetics
- Population genetics
- Statistical genetics
Background:
- The Fisher-Bulmer model assumes a Gaussian within-family distribution for additive traits.
- This model is often derived from an infinite number of unlinked loci contributing to trait variation.
Purpose of the Study:
- To investigate the precise conditions under which the Fisher-Bulmer model emerges in the infinite locus limit.
- To explore the role of linkage disequilibrium in the validity of the Fisher-Bulmer model.
- To present an alternative population genetic derivation and extend it to include linkage disequilibrium.
Main Methods:
- Analysis of the Fisher-Bulmer infinitesimal model in quantitative genetics.
- Investigation of additive traits with unlinked loci and the central limit theorem.
- Development of population genetic models with varying degrees of linkage disequilibrium, including diallelic models.
Main Results:
- A counterexample demonstrates the failure of the Fisher-Bulmer model in the infinite locus limit due to excessive linkage disequilibrium.
- A degenerate form of the Fisher-Bulmer model can arise under specific conditions.
- An alternative derivation is presented for populations at linkage equilibrium, with extensions for various linkage disequilibrium patterns.
Conclusions:
- The Fisher-Bulmer model's applicability is contingent on specific genetic architectures, particularly the degree of linkage disequilibrium.
- The findings contribute to understanding the limiting behavior of population genetic models with numerous loci.
- The general results may have implications for modeling cultural inheritance.
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