Evidence map›Paper›PMID 31864401›Full record

ArticleBMC research notes2019

Comparison of methylation patterns generated from genomic and cell-line derived DNA using the Illumina Infinium MethylationEPIC BeadChip array.

L J Smyth, J Kilner, A P Maxwell, A J McKnight

Abstract read
In one paragraph

Article in BMC research notes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. PMEnvironmental health and preventive medicine · 2020
    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

4 authors.

L J SmythMolecular Epidemiology Research Group, Centre for Public Health, Queen's University of Belfast, Belfast, UK. laura.smyth@qub.ac.uk.
J KilnerMolecular Epidemiology Research Group, Centre for Public Health, Queen's University of Belfast, Belfast, UK.
A P MaxwellMolecular Epidemiology Research Group, Centre for Public Health, Queen's University of Belfast, Belfast, UK.
A J McKnightMolecular Epidemiology Research Group, Centre for Public Health, Queen's University of Belfast, Belfast, UK.

Funding

Medical Research Council MC_PC_15025Medical Research Council MC_PC_16018Northern Ireland Kidney Research Fund Fellowship FellowshipPublic Health Agency R&D Division STL/4760/13Science Foundation Ireland and the Department for the Economy, Northern Ireland 15/IA/3152
6 · The paper itself

Abstract

objectivesGenomic DNA (gDNA) is the optimal source of DNA for methylation analysis. This study compared methylation patterns in gDNA derived from blood with cell-line derived DNA (clDNA) from the same individuals. The clDNA had been generated via an Epstein-Barr virus transformation of the participant's lymphocytes. This analysis sought to determine whether clDNA has the potential to be utilised in lieu of finite/unavailable gDNA in methylation analyses using Illumina Infinium MethylationEPIC BeadChip arrays that assess 862,927 CpG sites.

resultsDNA samples were divided into two groups with eight gDNA and eight matched clDNA samples compared in each group (n = 16 individuals with 32 samples in total). Methylation patterns for gDNA samples generated for both groups were compared to the clDNA equivalent samples using Partek

Indexed as

Cell LineCpG IslandsDiabetes Mellitus, Type 1DNADNA MethylationEpigenesis, GeneticFemaleGene OntologyGenomicsHerpesvirus 4, HumanHumansLymphocytesMaleOligonucleotide Array Sequence AnalysisDNACell-lineDiabetesDNAEpigeneticsGenomicMethylationMethylationEPIC

Identifiers

PMID31864401
PMCPMC6925854

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.