Evidence map›Paper›PMID 22531475›Full record

ArticleEpigenetics2012

Different measures of "genome-wide" DNA methylation exhibit unique properties in placental and somatic tissues.

E Magda Price, Allison M Cotton, Maria S Peñaherrera, Deborah E McFadden, Michael S Kobor, Wendy Robinson

Abstract read
In one paragraph

Article in Epigenetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

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

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  7. Extensive Placental Methylation Profiling in Normal Pregnancies.International journal of molecular sciences · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

E Magda PriceDepartment of Obstetrics and Gynaecology, University of British Columbia, Vancouver, BC, Canada.
Allison M Cotton
Maria S Peñaherrera
Deborah E McFadden
Michael S Kobor
Wendy Robinson

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

DNA methylation of CpGs located in two types of repetitive elements-LINE1 (L1) and Alu-is used to assess "global" changes in DNA methylation in studies of human disease and environmental exposure. L1 and Alu contribute close to 30% of all base pairs in the human genome and transposition of repetitive elements is repressed through DNA methylation. Few studies have investigated whether repetitive element DNA methylation is associated with DNA methylation at other genomic regions, or the biological and technical factors that influence potential associations. Here, we assess L1 and Alu DNA methylation by Pyrosequencing of consensus sequences and using subsets of probes included in the Illumina Infinium HumanMethylation27 BeadChip array. We show that evolutionary age and assay method affect the assessment of repetitive element DNA methylation. Additionally, we compare Pyrosequencing results for repetitive elements to average DNA methylation of CpG islands, as assessed by array probes classified into strong, weak and non-islands. We demonstrate that each of these dispersed sequences exhibits different patterns of tissue-specific DNA methylation. Correlation of DNA methylation suggests an association between L1 and weak CpG island DNA methylation in some of the tissues examined. We caution, however, that L1, Alu and CpG island DNA methylation are distinct measures of dispersed DNA methylation and one should not be used in lieu of another. Analysis of DNA methylation data is complex and assays may be influenced by environment and pathology in different or complementary ways.

Indexed as

DNA MethylationGene Expression Regulation, DevelopmentalAdultAlu ElementsBloodCpG IslandsEmbryonic DevelopmentFemaleFetusGenomeHigh-Throughput Nucleotide SequencingHumansLong Interspersed Nucleotide ElementsMaleOrgan SpecificityPlacenta

Identifiers

PMID22531475
PMCPMC3398992

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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.