Evidence map›Paper›PMID 20880956›Full record

ArticleBioinformatics (Oxford, England)2010

A statistical framework for Illumina DNA methylation arrays.

Pei Fen Kuan, Sijian Wang, Xin Zhou, Haitao Chu

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
–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

65 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Penalized logistic regression based on L1/2 penalty for high-dimensional DNA methylation data.Technology and health care : official journal of the European Society for Engineering and Medicine · 2020
    Article
  9. Article
  10. Epigenetic aging is accelerated in alcohol use disorder and regulated by genetic variation in APOL2.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

5 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

4 authors.

Pei Fen KuanDepartment of Biostatistics, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA. pfkuan@bios.unc.edu
Sijian Wang
Xin Zhou
Haitao Chu

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
DNA-Methylation Profiling from Fixed Melanocytic TissuesR21CA134368 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DORSEY, KATHLEEN CONWAY, THOMAS, NANCY E. · 2009 to 2010
$356k
NCI NIH HHS 1R21CA134368-01A1NCI NIH HHS 5-P30-CA16086-34NCI NIH HHS P30 CA016086NCI NIH HHS R21 CA134368
6 · The paper itself

Abstract

motivationThe Illumina BeadArray is a popular platform for profiling DNA methylation, an important epigenetic event associated with gene silencing and chromosomal instability. However, current approaches rely on an arbitrary detection P-value cutoff for excluding probes and samples from subsequent analysis as a quality control step, which results in missing observations and information loss. It is desirable to have an approach that incorporates the whole data, but accounts for the different quality of individual observations.

resultsWe first investigate and propose a statistical framework for removing the source of biases in Illumina Methylation BeadArray based on several positive control samples. We then introduce a weighted model-based clustering called LumiWCluster for Illumina BeadArray that weights each observation according to the detection P-values systematically and avoids discarding subsets of the data. LumiWCluster allows for discovery of distinct methylation patterns and automatic selection of informative CpG loci. We demonstrate the advantages of LumiWCluster on two publicly available Illumina GoldenGate Methylation datasets (ovarian cancer and hepatocellular carcinoma). AVAILABILITY: R package LumiWCluster can be downloaded from http://www.unc.edu/∼pfkuan/LumiWCluster.

Indexed as

DNA MethylationDatabases, GeneticData Interpretation, StatisticalOligonucleotide Array Sequence Analysis

Identifiers

PMID20880956
PMCPMC3025715

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.