Evidence map›Paper›PMID 34043790›Full record

ArticleMolecular biology and evolution2021

Inferring Genome-Wide Correlations of Mutation Fitness Effects between Populations.

Xin Huang, Alyssa Lyn Fortier, Alec J Coffman, Travis J Struck, Megan N Irby, Jennifer E James, José E León-Burguete, Aaron P Ragsdale, Ryan N Gutenkunst

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
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  3. Census and genetic analysis of the United States marmoset population.bioRxiv : the preprint server for biology · 2026
    Article
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  15. Article
  16. Article
  17. Revisiting Dominance in Population Genetics.Genome biology and evolution · 2024
    Review
  18. Article
  19. Article
  20. Review
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

9 authors.

Xin HuangDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ, USA.ORCID 0000-0002-9918-9602
Alyssa Lyn FortierDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID 0000-0001-5964-2540
Alec J CoffmanDepartment of Chemistry, University of Pennsylvania, Philadelphia, PA, USA.
Travis J StruckDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ, USA.ORCID 0000-0001-7161-5107
Megan N IrbyDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ, USA.
Jennifer E JamesDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ, USA.ORCID 0000-0003-0518-6783
José E León-BurgueteCenter for Genomic Sciences, National Autonomous University of Mexico, MR, Mexico.
Aaron P RagsdaleDepartment of Human Genetics, McGill University, Montreal, QC, Canada.ORCID 0000-0003-0715-3432
Ryan N GutenkunstDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ, USA.ORCID 0000-0002-8659-0579

Funding

Joint inferences of natural selection between sites and populationsR01GM127348 · NIGMS · UNIVERSITY OF ARIZONA · PI GUTENKUNST, RYAN · 2019 to 2023
$1.7M
NIGMS NIH HHS R01 GM127348
6 · The paper itself

Abstract

The effect of a mutation on fitness may differ between populations depending on environmental and genetic context, but little is known about the factors that underlie such differences. To quantify genome-wide correlations in mutation fitness effects, we developed a novel concept called a joint distribution of fitness effects (DFE) between populations. We then proposed a new statistic w to measure the DFE correlation between populations. Using simulation, we showed that inferring the DFE correlation from the joint allele frequency spectrum is statistically precise and robust. Using population genomic data, we inferred DFE correlations of populations in humans, Drosophila melanogaster, and wild tomatoes. In these species, we found that the overall correlation of the joint DFE was inversely related to genetic differentiation. In humans and D. melanogaster, deleterious mutations had a lower DFE correlation than tolerated mutations, indicating a complex joint DFE. Altogether, the DFE correlation can be reliably inferred, and it offers extensive insight into the genetics of population divergence.

Indexed as

Drosophila melanogasterGenetic FitnessAnimalsGene FrequencyGenomeModels, GeneticMutationdistribution of fitness effectspopulation divergencepopulation genetics

Identifiers

PMID34043790
PMCPMC8476148

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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.