Evidence map›Paper›PMID 35559670›Full record

ArticleScience advances2022

Recombination affects allele-specific expression of deleterious variants in human populations.

Michelle P Harwood, Isabel Alves, Hilary Edgington, Mawusse Agbessi, Vanessa Bruat, David Soave, Fabien C Lamaze, Marie-Julie Favé, Philip Awadalla

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 3 institutions in 3 countries.

Michelle P HarwoodOntario Institute for Cancer Research, Toronto, ON, Canada.ORCID 0000-0003-4758-3373
Isabel AlvesUniversité de Nantes, CHU Nantes, CNRS, INSERM, L'Institut du thorax, F-44000 Nantes, France.ORCID 0000-0002-4303-5479
Hilary EdgingtonDepartment of Biology, College of Wooster, Wooster, OH, USA.ORCID 0000-0002-4915-8349
Mawusse AgbessiOntario Institute for Cancer Research, Toronto, ON, Canada.ORCID 0000-0002-8956-5299
Vanessa BruatOntario Institute for Cancer Research, Toronto, ON, Canada.ORCID 0000-0001-8058-8999
David SoaveOntario Institute for Cancer Research, Toronto, ON, Canada.ORCID 0000-0002-1325-7417
Fabien C LamazeOntario Institute for Cancer Research, Toronto, ON, Canada.ORCID 0000-0002-6695-7548
Marie-Julie FavéOntario Institute for Cancer Research, Toronto, ON, Canada.ORCID 0000-0002-9121-7584
Philip AwadallaOntario Institute for Cancer Research, Toronto, ON, Canada.ORCID 0000-0001-9946-6393
Ontario Institute for Cancer Research · CACentre National de la Recherche Scientifique · FRCollege of Wooster · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How the genetic composition of a population changes through stochastic processes, such as genetic drift, in combination with deterministic processes, such as selection, is critical to understanding how phenotypes vary in space and time. Here, we show how evolutionary forces affecting selection, including recombination and effective population size, drive genomic patterns of allele-specific expression (ASE). Integrating tissue-specific genotypic and transcriptomic data from 1500 individuals from two different cohorts, we demonstrate that ASE is less often observed in regions of low recombination, and loci in high or normal recombination regions are more efficient at using ASE to underexpress harmful mutations. By tracking genetic ancestry, we discriminate between ASE variability due to past demographic effects, including subsequent bottlenecks, versus local environment. We observe that ASE is not randomly distributed along the genome and that population parameters influencing the efficacy of natural selection alter ASE levels genome wide.

Indexed as

Genetic VariationSelection, GeneticAllelesGenetic DriftHumansRecombination, Genetic

Identifiers

PMID35559670
PMCPMC9106294
OpenAlexW4280529747

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.