Evidence map›Paper›PMID 21840853›Full record

ArticleGenetics2011

A new method to uncover signatures of divergent and stabilizing selection in quantitative traits.

Otso Ovaskainen, Markku Karhunen, Chaozhi Zheng, José Manuel Cano Arias, Juha Merilä

Abstract read
In one paragraph

Article in Genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

43 citing papers in PubMed.

  1. Article
  2. Article
  3. Error rates inbioRxiv : the preprint server for biology · 2024
    Article
  4. Article
  5. Review
  6. A review onEcology and evolution · 2023
    Review
  7. Correlational selection in the age of genomics.Nature ecology & evolution · 2021
    Review
  8. Article
  9. Article
  10. Two centuries of monarch butterfly collections reveal contrasting effects of range expansion and migration loss on wing traits.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  11. Article
  12. Detecting selection with a genetic cross.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Effects of marker type and filtering criteria onRoyal Society open science · 2019
    Article
  18. Population genomics perspectives on convergent adaptation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Otso OvaskainenDepartment of Biosciences, University of Helsinki, FI-00014 Helsinki, Finland. otso.ovaskainen@helsinki.fi
Markku Karhunen
Chaozhi Zheng
José Manuel Cano Arias
Juha Merilä

Funding

European Research Council 205905
6 · The paper itself

Abstract

While it is well understood that the pace of evolution depends on the interplay between natural selection, random genetic drift, mutation, and gene flow, it is not always easy to disentangle the relative roles of these factors with data from natural populations. One popular approach to infer whether the observed degree of population differentiation has been influenced by local adaptation is the comparison of neutral marker gene differentiation (as reflected in FST) and quantitative trait divergence (as reflected in QST). However, this method may lead to compromised statistical power, because FST and QST are summary statistics which neglect information on specific pairs of populations, and because current multivariate tests of neutrality involve an averaging procedure over the traits. Further, most FST-QST comparisons actually replace QST by its expectation over the evolutionary process and are thus theoretically flawed. To overcome these caveats, we derived the statistical distribution of population means generated by random genetic drift and used the probability density of this distribution to test whether the observed pattern could be generated by drift alone. We show that our method can differentiate between genetic drift and selection as a cause of population differentiation even in cases with FST=QST and demonstrate with simulated data that it disentangles drift from selection more accurately than conventional FST-QST tests especially when data sets are small.

Indexed as

Genetic VariationModels, GeneticSelection, GeneticAlgorithmsAnimalsComputer SimulationEvolution, MolecularGenetic DriftGenetics, PopulationHumansPopulation DynamicsQuantitative Trait, HeritableQuantitative Trait Loci

Identifiers

PMID21840853
PMCPMC3189809

What OpenQuestion holds

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Registered trials

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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.