Evidence map›Paper›PMID 37074880›Full record

ArticleEvolution; international journal of organic evolution2023

Quantifying the fraction of new mutations that are recessive lethal.

Emma E Wade, Christopher C Kyriazis, Maria Izabel A Cavassim, Kirk E Lohmueller

Abstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Accessible, realistic genome simulation with selection using stdpopsim.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Digest: Few new mutations are recessive lethal.Evolution; international journal of organic evolution · 2023
    Article
  13. Article
  14. Article
  15. 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

4 authors.

Emma E WadeDepartment of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, CA, United States.
Christopher C KyriazisDepartment of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, CA, United States.
Maria Izabel A CavassimDepartment of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, CA, United States.
Kirk E LohmuellerDepartment of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, CA, United States.ORCID 0000-0002-3874-369X

Funding

Population genomics of the selective effects of new mutationsR35GM119856 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LOHMUELLER, KIRK · 2016 to 2025
$3.4M
Undergraduate Research Experiences in Neurogenetics and NeurogenomicsR25NS115554 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ESKIN, ELEAZAR, OPHOFF, ROEL A · 2020 to 2024
$506k
NIGMS NIH HHS R35 GM119856NIH HHS R25NS115554NINDS NIH HHS R25 NS115554
6 · The paper itself

Abstract

The presence and impact of recessive lethal mutations have been widely documented in diploid outcrossing species. However, precise estimates of the proportion of new mutations that are recessive lethal remain limited. Here, we evaluate the performance of Fit∂a∂i, a commonly used method for inferring the distribution of fitness effects (DFE), in the presence of lethal mutations. Using simulations, we demonstrate that in both additive and recessive cases, inference of the deleterious nonlethal portion of the DFE is minimally affected by a small proportion (<10%) of lethal mutations. Additionally, we demonstrate that while Fit∂a∂i cannot estimate the fraction of recessive lethal mutations, Fit∂a∂i can accurately infer the fraction of additive lethal mutations. Finally, as an alternative approach to estimate the proportion of mutations that are recessive lethal, we employ models of mutation-selection-drift balance using existing genomic parameters and estimates of segregating recessive lethals for humans and Drosophila melanogaster. In both species, the segregating recessive lethal load can be explained by a very small fraction (<1%) of new nonsynonymous mutations being recessive lethal. Our results refute recent assertions of a much higher proportion of mutations being recessive lethal (4%-5%), while highlighting the need for additional information on the joint distribution of selection and dominance coefficients.

Indexed as

HominidaeSelection, GeneticAnimalsDrosophila melanogasterGenes, LethalHumansModels, GeneticMutationdistribution of fitness effectslethal mutationsmutation–selection balancesite frequency spectrum

Identifiers

PMID37074880
PMCPMC10309970

What OpenQuestion holds

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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.