Evidence map›Paper›PMID 38489387›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

The temporal and genomic scale of selection following hybridization.

Jeffrey S Groh, Graham Coop

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.1field-weighted citation impact, top 4% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. A tsunami of genome reshuffling.Nature ecology & evolution · 2026
    Article
  2. The dynamics of introgression and parallel adaptation across North AmericanProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Genetics and genomics of hybridization.Nature reviews. Genetics · 2026
    Review
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  11. Genome evolution is surprisingly predictable after initial hybridization.bioRxiv : the preprint server for biology · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Jeffrey S GrohDepartment of Evolution and Ecology and Center for Population Biology, University of California, Davis, CA 95616.ORCID 0000-0002-0444-4392
Graham CoopDepartment of Evolution and Ecology and Center for Population Biology, University of California, Davis, CA 95616.
University of California, Davis · US

Funding

The impact of natural selection and population structure on human genomic variationR35GM136290 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Graham Coop · 2020 to 2026
$2.6M
NIGMS NIH HHS R35 GM136290
6 · The paper itself

Abstract

Genomic evidence supports an important role for selection in shaping patterns of introgression along the genome, but frameworks for understanding the evolutionary dynamics within hybrid populations that underlie these patterns have been lacking. Due to the clock-like effect of recombination in hybrids breaking up parental haplotypes, drift and selection produce predictable patterns of ancestry variation at varying spatial genomic scales through time. Here, we develop methods based on the Discrete Wavelet Transform to study the genomic scale of local ancestry variation and its association with recombination rates and show that these methods capture temporal dynamics of drift and genome-wide selection after hybridization. We apply these methods to published datasets from hybrid populations of swordtail fish (

Indexed as

GenomeNeanderthalsAnimalsGenomicsHaplotypesHumansHybridization, GeneticNucleic Acid HybridizationSelection, GenetichybridizationintrogressionNeanderthalwavelet transform

Identifiers

PMID38489387
PMCPMC10962946
OpenAlexW4392857153

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.