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Neutral Evolution of Multiple Quantitative Characters: A Genealogical Approach

Overview of attention for article published in Genetics, May 2007
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Article details
Title
Neutral Evolution of Multiple Quantitative Characters: A Genealogical Approach
Published in
Genetics, May 2007
DOI 10.1534/genetics.106.069658
Pubmed ID
Authors
Abstract

The G matrix measures the components of phenotypic variation that are genetically heritable. The structure of G, that is, its principal components and their associated variances, determines, in part, the direction and speed of multivariate trait evolution. In this article we present a framework and results that give the structure of G under the assumption of neutrality. We suggest that a neutral expectation of the structure of G is important because it gives a null expectation for the structure of G from which the unique consequences of selection can be determined. We demonstrate how the processes of mutation, recombination, and drift shape the structure of G. Furthermore, we demonstrate how shared common ancestry between segregating alleles shapes the structure of G. Our results show that shared common ancestry, which manifests itself in the form of a gene genealogy, causes the structure of G to be nonuniform in that the variances associated with the principal components of G decline at an approximately exponential rate. Furthermore we show that the extent of the nonuniformity in the structure of G is enhanced with declines in mutation rates, recombination rates, and numbers of loci and is dependent on the pattern and modality of mutation.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 8%
Portugal 2 5%
Finland 1 3%
Germany 1 3%
Unknown 32 82%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 15 38%
Student > Ph. D. Student 7 18%
Professor 4 10%
Professor > Associate Professor 4 10%
Student > Bachelor 3 8%
Other 4 10%
Unknown 2 5%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 29 74%
Environmental Science 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Chemical Engineering 1 3%
Earth and Planetary Sciences 1 3%
Other 1 3%
Unknown 2 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 December 2012.
All research outputs
#24,997,390
of 27,781,301 outputs
Outputs from Genetics
#7,537
of 7,828 outputs
Outputs of similar age
#93,206
of 95,894 outputs
Outputs of similar age from Genetics
#46
of 51 outputs
Altmetric has tracked 27,781,301 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,828 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.