Evidence map›Paper›PMID 36047771›Full record

ArticleeLife2022

Most cancers carry a substantial deleterious load due to Hill-Robertson interference.

Susanne Tilk, Svyatoslav Tkachenko, Christina Curtis, Dmitri A Petrov, Christopher D McFarland

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 31 citations in OpenAlex.

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  20. Intra-Frontiers in genetics · 2023
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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

5 authors at 3 institutions in 2 countries.

Susanne TilkDepartment of Biology, Stanford University, Stanford, United States.ORCID 0000-0002-9156-9360
Svyatoslav TkachenkoDepartment of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, United States.
Christina CurtisDepartment of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, United States.ORCID 0000-0003-0166-3802
Dmitri A PetrovDepartment of Biology, Stanford University, Stanford, United States.ORCID 0000-0002-3664-9130
Christopher D McFarlandDepartment of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, United States.
Case Western Reserve University · USStanford University · USCancer Institute (WIA) · IN

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Genomics of rapid adaptation in the lab and in the wildR35GM118165 · NIGMS · STANFORD UNIVERSITY · PI Dmitri Petrov · 2016 to 2026
$8.3M
Forecasting tumor evolution: can the past reveal the future?DP1CA238296 · NCI · STANFORD UNIVERSITY · PI CURTIS, CHRISTINA N · 2018 to 2022
$5.5M
(PQ4) Quantitative and multiplexed analysis of gene function in cancer in vivoR01CA231253 · NCI · STANFORD UNIVERSITY · PI PETROV, DMITRI, WINSLOW, MONTE MEIER · 2018 to 2022
$2.3M
Cancer Systems Biology Scholars ProgramR25CA180993 · NCI · STANFORD UNIVERSITY · PI PLEVRITIS, SYLVIA KATINA · 2014 to 2018
$2.2M
A Quantitative Multiplexed Platform for the Pharmacogenomic Analysis of Lung CancerR01CA207133 · NCI · STANFORD UNIVERSITY · PI PETROV, DMITRI, WINSLOW, MONTE MEIER · 2016 to 2018
$1.7M
Quantifying the sources and dynamics of tumor growth variability using Tuba-seqR00CA226506 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI MCFARLAND, CHRISTOPHER DENNIS · 2021 to 2023
$747k
Quantifying the sources and dynamics of tumor growth variability using Tuba-seqK99CA226506 · NCI · STANFORD UNIVERSITY · PI MCFARLAND, CHRISTOPHER DENNIS · 2018 to 2019
$202k
NCI NIH HHS DP1 CA238296NCI NIH HHS K99 CA226506NCI NIH HHS R00 CA226506NCI NIH HHS R01 CA207133NCI NIH HHS R01 CA231253NCI NIH HHS R25 CA180993NHGRI NIH HHS T32 HG000044NIGMS NIH HHS R35 GM118165
6 · The paper itself

Abstract

Cancer genomes exhibit surprisingly weak signatures of negative selection (Martincorena et al., 2017; Weghorn, 2017). This may be because selective pressures are relaxed or because genome-wide linkage prevents deleterious mutations from being removed (Hill-Robertson interference; Hill and Robertson, 1966). By stratifying tumors by their genome-wide mutational burden, we observe negative selection (

Indexed as

NeoplasmsSelection, GeneticEvolution, MolecularGenetic VariationHumansModels, GeneticMutationRecombination, Geneticcancer evolutionevolutionary biologygeneticsgenomicsHill-Robertson interferencehumanmutation load

Identifiers

PMID36047771
PMCPMC9499534
OpenAlexW4294025268

What OpenQuestion holds

Textmetadata
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.