Evidence map›Paper›PMID 21901107›Full record

ArticlePLoS genetics2011

Evidence for hitchhiking of deleterious mutations within the human genome.

Sung Chun, Justin C Fay

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

53 citing papers in PubMed, 109 citations in OpenAlex.

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  20. Aneuploidy Enables Cross-Adaptation to Unrelated Drugs.Molecular biology and evolution · 2019
    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 at 1 institution in 1 country.

Sung ChunComputational and Systems Biology Program, Washington University, St. Louis, Missouri, United States of America.
Justin C Fay
Washington University in St. Louis · US

Funding

Genetic basis and evolution of thermotolerance in the Saccharomyces yeast speciesR01GM080669 · NIGMS · WASHINGTON UNIVERSITY · PI FAY, JUSTIN C · 2007 to 2025
$5.3M
NIGMS NIH HHS GM080669NIGMS NIH HHS R01 GM080669
6 · The paper itself

Abstract

Deleterious mutations present a significant obstacle to adaptive evolution. Deleterious mutations can inhibit the spread of linked adaptive mutations through a population; conversely, adaptive substitutions can increase the frequency of linked deleterious mutations and even result in their fixation. To assess the impact of adaptive mutations on linked deleterious mutations, we examined the distribution of deleterious and neutral amino acid polymorphism in the human genome. Within genomic regions that show evidence of recent hitchhiking, we find fewer neutral but a similar number of deleterious SNPs compared to other genomic regions. The higher ratio of deleterious to neutral SNPs is consistent with simulated hitchhiking events and implies that positive selection eliminates some deleterious alleles and increases the frequency of others. The distribution of disease-associated alleles is also altered in hitchhiking regions. Disease alleles within hitchhiking regions have been associated with auto-immune disorders, metabolic diseases, cancers, and mental disorders. Our results suggest that positive selection has had a significant impact on deleterious polymorphism and may be partly responsible for the high frequency of certain human disease alleles.

Indexed as

Sequence DeletionAllelesAmino Acid SubstitutionAutoimmune DiseasesEvolution, MolecularGenome, HumanHumansMental DisordersMetabolic DiseasesNeoplasmsPolymorphism, Single NucleotideSelection, Genetic

Identifiers

PMID21901107
PMCPMC3161959
OpenAlexW2164610555

What OpenQuestion holds

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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.