Evidence map›Paper›PMID 23900255›Full record

ArticleNature methods2013

Computational approaches to identify functional genetic variants in cancer genomes.

Abel Gonzalez-Perez, Ville Mustonen, Boris Reva, Graham R S Ritchie, Pau Creixell, Rachel Karchin, Miguel Vazquez, J Lynn Fink, Karin S Kassahn, John V Pearson and 19 more

Abstract read
In one paragraph

Article in Nature methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing 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

97 citing papers in PubMed.

  1. Trial
  2. Article
  3. Biomarker Potential ofInternational journal of medical sciences · 2024
    Article
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  8. Article
  9. Article
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  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Prevention of tumor risk associated with the reprogramming of human pluripotent stem cells.Journal of experimental & clinical cancer research : CR · 2020
    Review
  17. Article
  18. Article
  19. Article
  20. Using Transcriptional Signatures to Find Cancer Drivers with LURE.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2020
    Article

37 more citing papers are in PubMed but not listed here.

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

29 authors.

Abel Gonzalez-PerezResearch Unit on Biomedical Informatics, University Pompeu Fabra, Barcelona, Spain.
Ville Mustonen
Boris Reva
Graham R S Ritchie
Pau Creixell
Rachel Karchin
Miguel Vazquez
J Lynn Fink
Karin S Kassahn
John V Pearson
Gary D Bader
Lakshmi Muthuswamy
B F Francis Ouellette
Jüri Reimand
Tatsuhiro Shibata
Alfonso Valencia
Adam Butler
Serge Dronov
Paul Flicek
Nick B Shannon
Hannah Carter
Li Ding
Chris Sander
Josh M Stuart
Lincoln D Stein
Nuria Lopez-Bigas
International Cancer Genome Consortium Mutation Pathways and Consequences Subgroup of the Bioinformatics Analyses Working Group

Funding

Large Scale Genome SequencingU54HG003079 · NHGRI · WASHINGTON UNIVERSITY · PI DUTCHER, SUSAN K · 2004 to 2016
$445.7M
BIGDATA: Mid-Scale DCM: DA: ESCE: Discovering Molecular ProcessesR01CA180778 · NCI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI STUART, JOSHUA MICHAEL · 2013 to 2017
$3.5M
A Turnkey System for High-throughput Variant Discovery and InterpretationU01HG006517 · NHGRI · WASHINGTON UNIVERSITY · PI DING, LI · 2012 to 2015
$3.0M
CANCER SUSCEPTIBILITY VARIANT DISCOVERY IN HIGH THROUGHPUT SEQUENCING DATAR01CA180006 · NCI · WASHINGTON UNIVERSITY · PI DING, LI · 2013 to 2016
$1.1M
NCI NIH HHS R01 CA180006NCI NIH HHS R01 CA180778NHGRI NIH HHS U01 HG006517NHGRI NIH HHS U54 HG003079Wellcome Trust 095908
6 · The paper itself

Abstract

The International Cancer Genome Consortium (ICGC) aims to catalog genomic abnormalities in tumors from 50 different cancer types. Genome sequencing reveals hundreds to thousands of somatic mutations in each tumor but only a minority of these drive tumor progression. We present the result of discussions within the ICGC on how to address the challenge of identifying mutations that contribute to oncogenesis, tumor maintenance or response to therapy, and recommend computational techniques to annotate somatic variants and predict their impact on cancer phenotype.

Indexed as

Genome, HumanComputational BiologyGenetic VariationHumansMutationNeoplasms

Identifiers

PMID23900255
PMCPMC3919555

What OpenQuestion holds

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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.