Evidence map›Paper›PMID 28184257›Full record

SynthesisClinical epigenetics2017

An empirically driven data reduction method on the human 450K methylation array to remove tissue specific non-variable CpGs.

Rachel D Edgar, Meaghan J Jones, Wendy P Robinson, Michael S Kobor

Abstract readMeta-Analysis
In one paragraph

Synthesis in Clinical epigenetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 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

34 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  16. Maternal-infant interaction quality is associated with child NR3C1 CpG site methylation at 7 years of age.American journal of human biology : the official journal of the Human Biology Council · 2023
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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

4 authors.

Rachel D EdgarDepartment of Medical Genetics, BC Children's Hospital, University of British Columbia, Vancouver, Canada.
Meaghan J JonesDepartment of Medical Genetics, BC Children's Hospital, University of British Columbia, Vancouver, Canada.
Wendy P RobinsonDepartment of Medical Genetics, BC Children's Hospital, University of British Columbia, Vancouver, Canada.
Michael S KoborDepartment of Medical Genetics, BC Children's Hospital, University of British Columbia, Vancouver, Canada.

Funding

CIHR FRN146331
6 · The paper itself

Abstract

backgroundPopulation based epigenetic association studies of disease and exposures are becoming more common with the availability of economical genome-wide technologies for interrogation of the methylome, such as the Illumina 450K Human Methylation Array (450K). Often, the expected small number of differentially methylated cytosine-guanine pairs (CpGs) in studies of the human methylome presents a statistical challenge, as the large number of CpGs measured on the 450K necessitates careful multiple test correction. While the 450K is a highly useful tool for population epigenetic studies, many of the CpGs tested are not variable and thus of limited information content in the context of the study and tissue. CpGs with observed lack of variability in the tissue under study could be removed to reduce the data dimensionality, limit the severity of multiple test correction and allow for improved detection of differential DNA methylation.

methodsHere, we performed a meta-analysis of 450K data from three commonly studied human tissues, namely blood (605 samples), buccal epithelial cells (121 samples) and placenta (157 samples). We developed lists of CpGs that are non-variable in each tissue.

resultsThese lists are surprisingly large (blood 114,204 CpGs, buccal epithelial cells 120,009 CpGs and placenta 101,367 CpGs) and thus will be valuable filters for epigenetic association studies, considerably reducing the dimensionality of the 450K and subsequently the multiple testing correction severity.

conclusionsWe propose this empirically derived method for data reduction to allow for more power in detecting differential DNA methylation associated with exposures in studies on the human methylome.

Indexed as

CpG IslandsDNA MethylationBlood Chemical AnalysisDatabases, GeneticEpigenesis, GeneticFemaleGenome, HumanHumansMouthOligonucleotide Array Sequence AnalysisOrgan SpecificityPlacentaPregnancySoftware450KDimensionality reductionDNA methylationFilterMultiple-test correctionNon-variablePowerTissue

Identifiers

PMID28184257
PMCPMC5290610

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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.