Evidence map›Paper›PMID 30606723›Full record

ArticleBlood advances2019

Identification of recurrent noncoding mutations in B-cell lymphoma using capture Hi-C.

Alex J Cornish, Phuc H Hoang, Sara E Dobbins, Philip J Law, Daniel Chubb, Giulia Orlando, Richard S Houlston

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  3. Domain-specific embeddings uncover latent genetics knowledge.bioRxiv : the preprint server for biology · 2025
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  4. Leukemia research reports · 2024
    Article
  5. Article
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  7. Review
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  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. The role of noncoding mutations in blood cancers.Disease models & mechanisms · 2019
    Review
  16. Review
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

7 authors at 1 institution in 1 country.

Alex J CornishDivision of Genetics and Epidemiology and.ORCID 0000-0002-3966-3501
Phuc H HoangDivision of Genetics and Epidemiology and.
Sara E DobbinsDivision of Genetics and Epidemiology and.ORCID 0000-0001-5320-3467
Philip J LawDivision of Genetics and Epidemiology and.ORCID 0000-0001-9663-4611
Daniel ChubbDivision of Genetics and Epidemiology and.
Giulia OrlandoDivision of Genetics and Epidemiology and.
Richard S HoulstonDivision of Genetics and Epidemiology and.ORCID 0000-0002-5268-0242
Institute of Cancer Research · GB

Funding

Cancer Research UK
6 · The paper itself

Abstract

The identification of driver mutations is fundamental to understanding oncogenesis. Although genes frequently mutated in B-cell lymphoma have been identified, the search for driver mutations has largely focused on the coding genome. Here we report an analysis of the noncoding genome using whole-genome sequencing data from 117 patients with B-cell lymphoma. Using promoter capture Hi-C data in naive B cells, we define

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseMutationComputational BiologyDatabases, GeneticDNA Copy Number VariationsGene AmplificationGene Expression Regulation, NeoplasticHumansLymphoma, B-CellOpen Reading FramesPromoter Regions, GeneticRNA, UntranslatedWhole Genome SequencingRNA, Untranslated

Identifiers

PMID30606723
PMCPMC6325301
OpenAlexW2907010214

What OpenQuestion holds

Textmetadata
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.