Evidence map›Paper›PMID 24490765›Full record

ArticleGenome biology2014

Using high-density DNA methylation arrays to profile copy number alterations.

Andrew Feber, Paul Guilhamon, Matthias Lechner, Tim Fenton, Gareth A Wilson, Christina Thirlwell, Tiffany J Morris, Adrienne M Flanagan, Andrew E Teschendorff, John D Kelly and 1 more

Abstract read
In one paragraph

Article in Genome biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing 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

94 citing papers in PubMed.

  1. Article
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  11. Epigenomic insights into common human disease pathology.Cellular and molecular life sciences : CMLS · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Complete loss ofHGG advances · 2023
    Article
  19. Article
  20. Article

34 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

11 authors.

Andrew Feber
Paul Guilhamon
Matthias Lechner
Tim Fenton
Gareth A Wilson
Christina Thirlwell
Tiffany J Morris
Adrienne M Flanagan
Andrew E Teschendorff
John D Kelly
Stephan Beck

Funding

Cancer Research UK 12183Medical Research Council G1000411Wellcome Trust WT084071Wellcome Trust WT093855
6 · The paper itself

Abstract

The integration of genomic and epigenomic data is an increasingly popular approach for studying the complex mechanisms driving cancer development. We have developed a method for evaluating both methylation and copy number from high-density DNA methylation arrays. Comparing copy number data from Infinium HumanMethylation450 BeadChips and SNP arrays, we demonstrate that Infinium arrays detect copy number alterations with the sensitivity of SNP platforms. These results show that high-density methylation arrays provide a robust and economic platform for detecting copy number and methylation changes in a single experiment. Our method is available in the ChAMP Bioconductor package: http://www.bioconductor.org/packages/2.13/bioc/html/ChAMP.html.

Indexed as

AlgorithmsDNA Copy Number VariationsDNA MethylationGenome, HumanHumansOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideSoftware

Identifiers

PMID24490765
PMCPMC4054098

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.