Evidence map›Paper›PMID 27467908›Full record

ArticlePloS one2016

Analysis and Visualization Tool for Targeted Amplicon Bisulfite Sequencing on Ion Torrent Sequencers.

Stephan Pabinger, Karina Ernst, Walter Pulverer, Rainer Kallmeyer, Ana M Valdes, Sarah Metrustry, Denis Katic, Angelo Nuzzo, Albert Kriegner, Klemens Vierlinger and 1 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Ten Years of EWAS.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Inflammation and cancer.Environmental health and preventive medicine · 2018
    Review
  11. Article
  12. Article
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.

Stephan PabingerHealth & Environment Department, Molecular Diagnostics, AIT-Austrian Institute of Technology, Vienna, Austria.
Karina ErnstHealth & Environment Department, Molecular Diagnostics, AIT-Austrian Institute of Technology, Vienna, Austria.
Walter PulvererHealth & Environment Department, Molecular Diagnostics, AIT-Austrian Institute of Technology, Vienna, Austria.
Rainer KallmeyerHealth & Environment Department, Molecular Diagnostics, AIT-Austrian Institute of Technology, Vienna, Austria.
Ana M ValdesThe Department of Twin Research & Genetic Epidemiology, King's College London, St Thomas' Campus, London, United Kingdom.
Sarah MetrustryThe Department of Twin Research & Genetic Epidemiology, King's College London, St Thomas' Campus, London, United Kingdom.
Denis KaticPlatomics GmbH, Vienna, Austria.
Angelo NuzzoPlatomics GmbH, Vienna, Austria.
Albert KriegnerPlatomics GmbH, Vienna, Austria.
Klemens VierlingerHealth & Environment Department, Molecular Diagnostics, AIT-Austrian Institute of Technology, Vienna, Austria.
Andreas WeinhaeuselHealth & Environment Department, Molecular Diagnostics, AIT-Austrian Institute of Technology, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted sequencing of PCR amplicons generated from bisulfite deaminated DNA is a flexible, cost-effective way to study methylation of a sample at single CpG resolution and perform subsequent multi-target, multi-sample comparisons. Currently, no platform specific protocol, support, or analysis solution is provided to perform targeted bisulfite sequencing on a Personal Genome Machine (PGM). Here, we present a novel tool, called TABSAT, for analyzing targeted bisulfite sequencing data generated on Ion Torrent sequencers. The workflow starts with raw sequencing data, performs quality assessment, and uses a tailored version of Bismark to map the reads to a reference genome. The pipeline visualizes results as lollipop plots and is able to deduce specific methylation-patterns present in a sample. The obtained profiles are then summarized and compared between samples. In order to assess the performance of the targeted bisulfite sequencing workflow, 48 samples were used to generate 53 different Bisulfite-Sequencing PCR amplicons from each sample, resulting in 2,544 amplicon targets. We obtained a mean coverage of 282X using 1,196,822 aligned reads. Next, we compared the sequencing results of these targets to the methylation level of the corresponding sites on an Illumina 450k methylation chip. The calculated average Pearson correlation coefficient of 0.91 confirms the sequencing results with one of the industry-leading CpG methylation platforms and shows that targeted amplicon bisulfite sequencing provides an accurate and cost-efficient method for DNA methylation studies, e.g., to provide platform-independent confirmation of Illumina Infinium 450k methylation data. TABSAT offers a novel way to analyze data generated by Ion Torrent instruments and can also be used with data from the Illumina MiSeq platform. It can be easily accessed via the Platomics platform, which offers a web-based graphical user interface along with sample and parameter storage. TABSAT is freely available under a GNU General Public License version 3.0 (GPLv3) at https://github.com/tadkeys/tabsat/ and http://demo.platomics.com/.

Indexed as

DNADNA MethylationHumansPolymerase Chain ReactionSequence Analysis, DNASulfitesDNAhydrogen sulfiteSulfites

Identifiers

PMID27467908
PMCPMC4965138

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.