Evidence map›Paper›PMID 23381120›Full record

ReviewNature reviews. Genetics2013

Q(ST)-F(ST) comparisons: evolutionary and ecological insights from genomic heterogeneity.

Tuomas Leinonen, R J Scott McCairns, Robert B O'Hara, Juha Merilä

Abstract readComparative StudyReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers.

0numbers the graph read from it
0cells of the map it votes in
155citing papers in PubMed
28.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

155 citing papers in PubMed, 426 citations in OpenAlex.

  1. Article
  2. Natural variation inScience advances · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Plastic responses to past environments shape adaptation to novel selection pressures.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Article
  12. Selection drives divergence of eye morphology in sympatric Heliconius butterflies.Evolution; international journal of organic evolution · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

95 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 2 countries.

Tuomas LeinonenEcological Genetics Research Unit, Department of Biosciences, PO Box 65, FI-00014 University of Helsinki, Finland.
R J Scott McCairns
Robert B O'Hara
Juha Merilä
University of Helsinki · FISenckenberg Biodiversity and Climate Research Centre · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comparative studies of the divergence of quantitative traits and neutral molecular markers, known as Q(ST)-F(ST) comparisons, provide a means for researchers to distinguish between natural selection and genetic drift as causes of population differentiation in complex polygenic traits. The use of Q(ST)-F(ST) comparisons has increased rapidly in the last few years, highlighting the utility of this approach for addressing a wide range of questions that are relevant to evolutionary and ecological genetics. These studies have also provided lessons for the design of future Q(ST)-F(ST) comparisons. Methods based on the Q(ST)-F(ST) approach could also be used to analyse various types of 'omics' data in new and revealing ways.

Indexed as

Evolution, MolecularGenetic HeterogeneityGenetic MarkersGenomicsQuantitative Trait LociAnimalsEcologyGenetic DriftGenetics, PopulationGenetic VariationHumansSelection, GeneticGenetic Markers

Identifiers

PMID23381120
OpenAlexW2018112412

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.