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  Statistical genetics and evolution of quantitative traits

Neher, R., & Shraiman, B. (2011). Statistical genetics and evolution of quantitative traits. Reviews of Modern Physics, 83: 1283. doi:10.1103/RevModPhys.83.1283.

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Neher, RA1, Author                 
Shraiman, BI, Author
Affiliations:
1Research Group Evolutionary Dynamics and Biophysics, Max Planck Institute for Developmental Biology, Max Planck Society, ou_3377926              

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 Abstract: The distribution and heritability of many traits depends on numerous loci in the genome. In general, the astronomical number of possible genotypes makes the system with large numbers of loci difficult to describe. Multilocus evolution, however, greatly simplifies in the limit of weak selection and frequent recombination. In this limit, populations rapidly reach quasilinkage equilibrium (QLE) in which the dynamics of the full genotype distribution, including correlations between alleles at different loci, can be parametrized by the allele frequencies. This review provides a simplified exposition of the concept and mathematics of QLE which is central to the statistical description of genotypes in sexual populations. Key results of quantitative genetics such as the generalized Fisher’s “fundamental theorem,” along with Wright’s adaptive landscape, are shown to emerge within QLE from the dynamics of the genotype distribution. This is followed by a discussion under what circumstances QLE is applicable, and what the breakdown of QLE implies for the population structure and the dynamics of selection. Understanding the fundamental aspects of multilocus evolution obtained through simplified models may be helpful in providing conceptual and computational tools to address the challenges arising in the studies of complex quantitative phenotypes of practical interest.

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 Dates: 2011-11
 Publication Status: Issued
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 Identifiers: DOI: 10.1103/RevModPhys.83.1283
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Title: Reviews of Modern Physics
  Other : Rev. Modern Phys.
Source Genre: Journal
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Publ. Info: Minneapolis : American Physical Society
Pages: 18 Volume / Issue: 83 Sequence Number: 1283 Start / End Page: - Identifier: ISSN: 0034-6861
CoNE: https://pure.mpg.de/cone/journals/resource/954925438533