Evidence map›Paper›PMID 25374580›Full record

ArticleFrontiers in genetics2014

Methylated DNA is over-represented in whole-genome bisulfite sequencing data.

Lexiang Ji, Takahiko Sasaki, Xiaoxiao Sun, Ping Ma, Zachary A Lewis, Robert J Schmitz

Abstract read
In one paragraph

Article in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

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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

46 citing papers in PubMed.

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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

6 authors.

Lexiang JiDepartment of Genetics, University of Georgia, Athens, GA USA ; Institute of Bioinformatics, University of Georgia, Athens, GA USA.
Takahiko SasakiDepartment of Microbiology, University of Georgia, Athens, GA USA.
Xiaoxiao SunDepartment of Statistics, University of Georgia, Athens, GA USA.
Ping MaDepartment of Statistics, University of Georgia, Athens, GA USA.
Zachary A LewisDepartment of Microbiology, University of Georgia, Athens, GA USA.
Robert J SchmitzDepartment of Genetics, University of Georgia, Athens, GA USA.

Funding

Identification and Characterization of Population-Wide Epigenetic VariationR00GM100000 · NIGMS · UNIVERSITY OF GEORGIA · PI SCHMITZ, ROBERT J. · 2013 to 2015
$723k
NIGMS NIH HHS R00 GM100000
6 · The paper itself

Abstract

The development of whole-genome bisulfite sequencing (WGBS) has resulted in a number of exciting discoveries about the role of DNA methylation leading to a plethora of novel testable hypotheses. Methods for constructing sodium bisulfite-converted and amplified libraries have recently advanced to the point that the bottleneck for experiments that use WGBS has shifted to data analysis and interpretation. Here we present empirical evidence for an over-representation of reads from methylated DNA in WGBS. This enrichment for methylated DNA is exacerbated by higher cycles of PCR and is influenced by the type of uracil-insensitive DNA polymerase used for amplifying the sequencing library. Future efforts to computationally correct for this enrichment bias will be essential to increasing the accuracy of determining methylation levels for individual cytosines. It is especially critical for studies that seek to accurately quantify DNA methylation levels in populations that may segregate for allelic DNA methylation states.

Indexed as

DNA methylationepigeneticsEpigenomicsPCR biaswhole genome bisulfite sequencing

Identifiers

PMID25374580
PMCPMC4204604

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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.