Evidence map›Paper›PMID 38242701›Full record

ArticleGenetics2024

Shared evolutionary processes shape landscapes of genomic variation in the great apes.

Murillo F Rodrigues, Andrew D Kern, Peter L Ralph

Open access · hybridAbstract read
In one paragraph

Article in Genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Pervasive cryptic selection in the human noncoding genome.bioRxiv : the preprint server for biology · 2026
    Article
  3. Census and genetic analysis of the United States marmoset population.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Accessible, realistic genome simulation with selection using stdpopsim.bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Murillo F RodriguesInstitute of Ecology and Evolution, University of Oregon, Eugene, OR 97403, USA.ORCID 0000-0001-7508-1384
Andrew D KernInstitute of Ecology and Evolution, University of Oregon, Eugene, OR 97403, USA.ORCID 0000-0003-4381-4680
Peter L RalphInstitute of Ecology and Evolution, University of Oregon, Eugene, OR 97403, USA.ORCID 0000-0002-9459-6866
University of Oregon · US

Funding

Deep learning for population geneticsR01HG010774 · NHGRI · UNIVERSITY OF OREGON · PI ANDREW D KERN · 2020 to 2026
$3.2M
Computational Population GeneticsR35GM148253 · NIGMS · UNIVERSITY OF OREGON · PI ANDREW D KERN · 2023 to 2026
$1.5M
POPULATION GENOMICS OF ADAPTATIONR01GM117241 · NIGMS · UNIVERSITY OF OREGON · PI KERN, ANDREW D · 2017 to 2020
$1.2M
NHGRI NIH HHS R01 HG010774NIGMS NIH HHS R01 GM117241NIGMS NIH HHS R35 GM148253NIH HHS R01GM117241 and R01HG010774
6 · The paper itself

Abstract

For at least the past 5 decades, population genetics, as a field, has worked to describe the precise balance of forces that shape patterns of variation in genomes. The problem is challenging because modeling the interactions between evolutionary processes is difficult, and different processes can impact genetic variation in similar ways. In this paper, we describe how diversity and divergence between closely related species change with time, using correlations between landscapes of genetic variation as a tool to understand the interplay between evolutionary processes. We find strong correlations between landscapes of diversity and divergence in a well-sampled set of great ape genomes, and explore how various processes such as incomplete lineage sorting, mutation rate variation, GC-biased gene conversion and selection contribute to these correlations. Through highly realistic, chromosome-scale, forward-in-time simulations, we show that the landscapes of diversity and divergence in the great apes are too well correlated to be explained via strictly neutral processes alone. Our best fitting simulation includes both deleterious and beneficial mutations in functional portions of the genome, in which 9% of fixations within those regions is driven by positive selection. This study provides a framework for modeling genetic variation in closely related species, an approach which can shed light on the complex balance of forces that have shaped genetic variation.

Indexed as

Genetic VariationHominidaeAnimalsGenomicsMutationSelection, Geneticbackground selectionGC-biased gene conversionlinked selectionmutation rate variationselective sweepsimulation

Identifiers

PMID38242701
PMCPMC10990428
OpenAlexW4391042134

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.