Evidence map›Paper›PMID 33012231›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2020

Ancient RNA virus epidemics through the lens of recent adaptation in human genomes.

David Enard, Dmitri A Petrov

Abstract readHistorical Article
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
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

28 citing papers in PubMed.

  1. Article
  2. Modeling the Exposome in Murine Cardiovascular Disease.JACC. Basic to translational science · 2026
    Review
  3. Article
  4. Article
  5. Extensive longevity and DNA virus-driven adaptation in nearcticbioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Local genetic adaptation to habitat in wild chimpanzees.bioRxiv : the preprint server for biology · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Natural selection of immune and metabolic genes associated with health in two lowland Bolivian populations.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Review
  16. Review
  17. SARS-COV-2 Notable Mutations and Variants: A Review Article.Iranian journal of public health · 2022
    Review
  18. 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

2 authors.

David EnardDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA.
Dmitri A PetrovDepartment of Biology, Stanford University, Stanford, CA, USA.

Funding

Genomics of rapid adaptation in the lab and in the wildR35GM118165 · NIGMS · STANFORD UNIVERSITY · PI Dmitri Petrov · 2016 to 2026
$8.3M
NIGMS NIH HHS R35 GM118165
6 · The paper itself

Abstract

Over the course of the last several million years of evolution, humans probably have been plagued by hundreds or perhaps thousands of epidemics. Little is known about such ancient epidemics and a deep evolutionary perspective on current pathogenic threats is lacking. The study of past epidemics has typically been limited in temporal scope to recorded history, and in physical scope to pathogens that left sufficient DNA behind, such as

Indexed as

Adaptation, BiologicalGenome, HumanEpidemicsEvolution, MolecularHistory, 15th CenturyHistory, 16th CenturyHistory, 17th CenturyHistory, 18th CenturyHistory, 19th CenturyHistory, 20th CenturyHistory, AncientHistory, MedievalHumansRNA VirusesRNA Virus Infectionsancient epidemicsgenomic adaptationhuman evolution

Identifiers

PMID33012231
PMCPMC7702803

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.