Evidence map›Paper›PMID 32472059›Full record

ReviewNature reviews. Genetics2020

From molecules to populations: appreciating and estimating recombination rate variation.

Joshua V Peñalba, Jochen B W Wolf

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
20.5field-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

87 citing papers in PubMed, 185 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Why recombination hotspots?PLoS genetics · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. An extension of thebioRxiv : the preprint server for biology · 2026
    Article
  16. Article
  17. Article
  18. Meiotic Recombination in Teleosts.Advances in experimental medicine and biology · 2026
    Review
  19. Towards an evolutionary baseline model ofbioRxiv : the preprint server for biology · 2025
    Article
  20. Fine-scale recombination rates inferred using the canFam4 assembly are strongly correlated with previous maps of dog recombination.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article

27 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

2 authors at 2 institutions in 1 country.

Joshua V PeñalbaDivision of Evolutionary Biology, LMU Munich, Planegg-Martinsried, Germany. josh.penalba@gmail.com.ORCID http://orcid.org/0000-0001-6549-6885
Jochen B W WolfDivision of Evolutionary Biology, LMU Munich, Planegg-Martinsried, Germany. j.wolf@bio.lmu.de.ORCID http://orcid.org/0000-0002-2958-5183
LMU Klinikum · DEUrologische Klinik München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recombination is a central biological process with implications for many areas in the life sciences. Yet we are only beginning to appreciate variation in the recombination rate along the genome and among individuals, populations and species. Spurred by technological advances, we are now able to bring variation in this key biological parameter to centre stage. Here, we review the conceptual implications of recombination rate variation and guide the reader through the assumptions, strengths and weaknesses of genomic inference methods, including population-based, pedigree-based and gamete-based approaches. Appreciation of the differences and commonalities of these approaches is a prerequisite to formulate a unifying and comparative framework for understanding the molecular and evolutionary mechanisms shaping, and being shaped by, recombination.

Indexed as

Evolution, MolecularGenetics, PopulationGenomicsRecombination, GeneticAnimalsBiological EvolutionChromosome MappingGenetic TestingGenetic VariationHumansMiosis

Identifiers

PMID32472059
OpenAlexW3031321880

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.