Evidence map›Paper›PMID 15020447›Full record

ArticleGenetics2004

Influence of dominance, leptokurtosis and pleiotropy of deleterious mutations on quantitative genetic variation at mutation-selection balance.

Xu-Sheng Zhang, Jinliang Wang, William G Hill

Abstract read
In one paragraph

Article in Genetics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Sexually antagonistic selection promotes genetic divergence between males and females in an ant.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  5. Article
  6. Article
  7. Mutations and quantitative genetic variation: lessons from Drosophila.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2010
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Systems-level analysis and evolution of the phototransduction network in Drosophila.Proceedings of the National Academy of Sciences of the United States of America · 2007
    Article
  15. Article
  16. Article
  17. Theoretical models of selection and mutation on quantitative traits.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2005
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Xu-Sheng ZhangInstitute of Cell, Animal and Population Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, EH9 3JT, United Kingdom. xu-sheng.zhang@ed.ac.uk
Jinliang Wang
William G Hill

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In models of maintenance of genetic variance (V (G)) it has often been assumed that mutant alleles act additively. However, experimental data show that the dominance coefficient varies among mutant alleles and those of large effect tend to be recessive. On the basis of empirical knowledge of mutations, a joint-effect model of pleiotropic and real stabilizing selection that includes dominance is constructed and analyzed. It is shown that dominance can dramatically alter the prediction of equilibrium V (G). Analysis indicates that for the situations where mutations are more recessive for fitness than for a quantitative trait, as supported by the available data, the joint-effect model predicts a significantly higher V (G) than does an additive model. Importantly, for what seem to be realistic distributions of mutational effects (i.e., many mutants may not affect the quantitative trait substantially but are likely to affect fitness), the observed high levels of genetic variation in the quantitative trait under strong apparent stabilizing selection can be generated. This investigation supports the hypothesis that most V (G) comes from the alleles nearly neutral for fitness in heterozygotes while apparent stabilizing selection is contributed mainly by the alleles of large effect on the quantitative trait. Thus considerations of dominance coefficients of mutations lend further support to our previous conclusion that mutation-selection balance is a plausible mechanism of the maintenance of the genetic variance in natural populations.

Indexed as

Genetic VariationModels, GeneticMutationGenes, DominantHomozygoteMonte Carlo MethodPopulation DensityQuantitative Trait LociSelection, Genetic

Identifiers

PMID15020447
PMCPMC1470700

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.