Evidence map›Paper›PMID 23598999›Full record

ArticleNucleic acids research2013

COHCAP: an integrative genomic pipeline for single-nucleotide resolution DNA methylation analysis.

Charles D Warden, Heehyoung Lee, Joshua D Tompkins, Xiaojin Li, Charles Wang, Arthur D Riggs, Hua Yu, Richard Jove, Yate-Ching Yuan

Erratum issuedAbstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Computational Analysis of High-Dimensional DNA Methylation Data for Cancer Prognosis.Journal of computational biology : a journal of computational molecular cell biology · 2022
    Review
  14. Pancreatoblastomas and mixed and pure acinar cell carcinomas share epigenetic signatures distinct from other neoplasms of the pancreas.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Clinical epigenomics for cardiovascular disease: Diagnostics and therapies.Journal of molecular and cellular cardiology · 2021
    Review
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Charles D WardenBioinformatics Core, City of Hope National Medical Center, Duarte, CA 91010, USA. cwarden@coh.org
Heehyoung Lee
Joshua D Tompkins
Xiaojin Li
Charles Wang
Arthur D Riggs
Hua Yu
Richard Jove
Yate-Ching Yuan

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI STANLEY R. HAMILTON · 1985 to 2026
$86.3M
Role of Stat3 in Tumor Immune Evasion and Immune SuppressionR01CA122976 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI YU, HUA E · 2006 to 2015
$2.9M
Inhibitors in Src Signaling for Antitumor TherapyR01CA115674 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI JOVE, RICHARD · 2007 to 2011
$1.4M
NCI NIH HHS P30 CA033572NCI NIH HHS P30 CA33572NCI NIH HHS R01 CA115674NCI NIH HHS R01 CA122976
6 · The paper itself

Abstract

COHCAP (City of Hope CpG Island Analysis Pipeline) is an algorithm to analyze single-nucleotide resolution DNA methylation data produced by either an Illumina methylation array or targeted bisulfite sequencing. The goal of the COHCAP algorithm is to identify CpG islands that show a consistent pattern of methylation among CpG sites. COHCAP is currently the only DNA methylation package that provides integration with gene expression data to identify a subset of CpG islands that are most likely to regulate downstream gene expression, and it can generate lists of differentially methylated CpG islands with ∼50% concordance with gene expression from both cell line data and heterogeneous patient data. For example, this article describes known breast cancer biomarkers (such as estrogen receptor) with a negative correlation between DNA methylation and gene expression. COHCAP also provides visualization for quality control metrics, regions of differential methylation and correlation between methylation and gene expression. This software is freely available at https://sourceforge.net/projects/cohcap/.

Indexed as

AlgorithmsCpG IslandsDNA MethylationBreast NeoplasmsCell Line, TumorFemaleGene ExpressionGenomicsHumansOligonucleotide Array Sequence AnalysisSequence Analysis, DNASulfiteshydrogen sulfiteSulfites

Identifiers

PMID23598999
PMCPMC3675470

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.