Evidence map›Paper›PMID 34737428›Full record

ArticleNature genetics2021

Synonymous mutations reveal genome-wide levels of positive selection in healthy tissues.

Gladys Y P Poon, Caroline J Watson, Daniel S Fisher, Jamie R Blundell

Abstract read
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Article in Nature genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.9field-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

41 citing papers in PubMed, 74 citations in OpenAlex.

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  15. The emergence of clonal hematopoiesis as a disease determinant.The Journal of clinical investigation · 2024
    Article
  16. Clonal dynamics and somatic evolution of haematopoiesis in mouse.bioRxiv : the preprint server for biology · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Gladys Y P PoonEarly Detection Programme, CRUK Cambridge Cancer Centre, University of Cambridge, Cambridge, UK. ypgp2@cam.ac.uk.ORCID http://orcid.org/0000-0001-6788-5163
Caroline J WatsonEarly Detection Programme, CRUK Cambridge Cancer Centre, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-8351-268X
Daniel S FisherDepartment of Applied Physics, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-5559-2491
Jamie R BlundellEarly Detection Programme, CRUK Cambridge Cancer Centre, University of Cambridge, Cambridge, UK. jrb75@cam.ac.uk.ORCID http://orcid.org/0000-0001-9747-7363
University of Cambridge · GBStanford University · US

Funding

Cancer Research UK 29749
6 · The paper itself

Abstract

Genetic alterations under positive selection in healthy tissues have implications for cancer risk. However, total levels of positive selection across the genome remain unknown. Passenger mutations are influenced by all driver mutations, regardless of type or location in the genome. Therefore, the total number of passengers can be used to estimate the total number of drivers-including unidentified drivers outside of cancer genes that are traditionally missed. Here we analyze the variant allele frequency spectrum of synonymous mutations from healthy blood and esophagus to quantify levels of missing positive selection. In blood, we find that only 30% of passengers can be explained by single-nucleotide variants in driver genes, suggesting high levels of positive selection for mutations elsewhere in the genome. In contrast, more than half of all passengers in the esophagus can be explained by just the two driver genes NOTCH1 and TP53, suggesting little positive selection elsewhere.

Indexed as

Genome, HumanSelection, GeneticSilent MutationAdultAgedAge FactorsBlood Physiological PhenomenaEsophagusGene FrequencyGenetics, PopulationGenome-Wide Association StudyHumansMiddle AgedOncogenesReceptor, Notch1Tumor Suppressor Protein p53NOTCH1 protein, humanReceptor, Notch1TP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID34737428
OpenAlexW3209926184

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.