Evidence map›Paper›PMID 33048617›Full record

ArticleEpigenetics

Genome-wide DNA methylation profiling in human breast tissue by Illumina TruSeq methyl capture EPIC sequencing and infinium methylationEPIC beadchip microarray.

Nan Lin, Jinpeng Liu, James Castle, Jun Wan, Aditi Shendre, Yunlong Liu, Chi Wang, Chunyan He

Open access · bronzeAbstract read
In one paragraph

Article in Epigenetics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024
    Review
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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

8 authors at 3 institutions in 1 country.

Nan LinThe Cancer Prevention and Control Research Program, University of Kentucky Markey Cancer Center, Lexington, KY, USA.
Jinpeng LiuThe Cancer Prevention and Control Research Program, University of Kentucky Markey Cancer Center, Lexington, KY, USA.ORCID 0000-0003-4100-0237
James CastleThe Cancer Prevention and Control Research Program, University of Kentucky Markey Cancer Center, Lexington, KY, USA.ORCID 0000-0002-2177-617X
Jun WanDepartment of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
Aditi ShendreDepartment of Biomedical Informatics, The Ohio State University, Columbus, OH, USA.
Yunlong LiuDepartment of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
Chi WangThe Cancer Prevention and Control Research Program, University of Kentucky Markey Cancer Center, Lexington, KY, USA.ORCID 0000-0001-8984-4995
Chunyan HeThe Cancer Prevention and Control Research Program, University of Kentucky Markey Cancer Center, Lexington, KY, USA.ORCID 0000-0001-9443-4368
University of Kentucky · USIndiana University School of MedicineThe Ohio State University · US

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI Bernard Mark Evers · 2013 to 2026
$38.3M
An Integrative Approach to Identify Causal Epigenetic Markers for Breast CancerR01CA194030 · NCI · UNIVERSITY OF KENTUCKY · PI HE, CHUNYAN · 2015 to 2018
$1.5M
NCI NIH HHS P30 CA177558NCI NIH HHS R01 CA194030
6 · The paper itself

Abstract

A newly-developed platform, the Illumina TruSeq Methyl Capture EPIC library prep (TruSeq EPIC), builds on the content of the Infinium MethylationEPIC Beadchip Microarray (EPIC-array) and leverages the power of next-generation sequencing for targeted bisulphite sequencing. We empirically examined the performance of TruSeq EPIC and EPIC-array in assessing genome-wide DNA methylation in breast tissue samples. TruSeq EPIC provided data with a much higher density in the regions when compared to EPIC-array (~2.74 million CpGs with at least 10X coverage vs ~752 K CpGs, respectively). Approximately 398 K CpGs were common and measured across the two platforms in every sample. Overall, there was high concordance in methylation levels between the two platforms (Pearson correlation r = 0.98, P < 0.0001). However, we observed that TruSeq EPIC measurements provided a wider dynamic range and likely a higher quantitative sensitivity for CpGs that were either hypo- or hyper-methylated (β close to 0 or 1, respectively). In addition, when comparing different breast tissue types TruSeq EPIC identified more differentially methylated CpGs than EPIC-array, not only out of additional sites interrogated by TruSeq EPIC alone, but also out of common sites interrogated by both platforms. Our results suggest that both platforms show high reproducibility and reliability in genome-wide DNA methylation profiling, while TruSeq EPIC had a significant improvement over EPIC-array regarding genomic resolution and coverage. The wider dynamic range and likely higher precision of the estimates by the TruSeq EPIC may lead to the identification of novel differentially methylated markers that are associated with disease risk.

Indexed as

DNA MethylationHigh-Throughput Nucleotide SequencingCpG IslandsHumansOligonucleotide Array Sequence AnalysisReproducibility of Resultsdifferentially methylated sitesDNA methylationgenome coveragegenomic resolutioninfinium MethylationEPIC Beadchipmethyl-capture sequencingmethylomemicroarraynext-generation sequencingquantitative sensitivity

Identifiers

PMID33048617
PMCPMC8216193
OpenAlexW3092116114

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.