Evidence map›Paper›PMID 30602389›Full record

ArticleEpigenetics & chromatin2019

Integration of DNA methylation patterns and genetic variation in human pediatric tissues help inform EWAS design and interpretation.

Sumaiya A Islam, Sarah J Goodman, Julia L MacIsaac, Jelena Obradović, Ronald G Barr, W Thomas Boyce, Michael S Kobor

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In one paragraph

Article in Epigenetics & chromatin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

7 authors.

Sumaiya A IslamDepartment of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.
Sarah J GoodmanDepartment of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.
Julia L MacIsaacDepartment of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.
Jelena ObradovićGraduate School of Education, Stanford University, Palo Alto, CA, USA.
Ronald G BarrDepartment of Pediatrics, University of British Columbia, Vancouver, BC, Canada.
W Thomas BoyceDepartments of Pediatrics and Psychiatry, University of California, San Francisco, CA, USA.
Michael S KoborDepartment of Medical Genetics, University of British Columbia, Vancouver, BC, Canada. msk@bcchr.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe widespread use of accessible peripheral tissues for epigenetic analyses has prompted increasing interest in the study of tissue-specific DNA methylation (DNAm) variation in human populations. To date, characterizations of inter-individual DNAm variability and DNAm concordance across tissues have been largely performed in adult tissues and therefore are limited in their relevance to DNAm profiles from pediatric samples. Given that DNAm patterns in early life undergo rapid changes and have been linked to a wide range of health outcomes and environmental exposures, direct investigations of tissue-specific DNAm variation in pediatric samples may help inform the design and interpretation of DNAm analyses from early life cohorts. In this study, we present a systematic comparison of genome-wide DNAm patterns between matched pediatric buccal epithelial cells (BECs) and peripheral blood mononuclear cells (PBMCs), two of the most widely used peripheral tissues in human epigenetic studies. Specifically, we assessed DNAm variability, cross-tissue DNAm concordance and genetic determinants of DNAm across two independent early life cohorts encompassing different ages.

resultsBECs had greater inter-individual DNAm variability compared to PBMCs and highly the variable CpGs are more likely to be positively correlated between the matched tissues compared to less variable CpGs. These sites were enriched for CpGs under genetic influence, suggesting that a substantial proportion of DNAm covariation between tissues can be attributed to genetic variation. Finally, we demonstrated the relevance of our findings to human epigenetic studies by categorizing CpGs from published DNAm association studies of pediatric BECs and peripheral blood.

conclusionsTaken together, our results highlight a number of important considerations and practical implications in the design and interpretation of EWAS analyses performed in pediatric peripheral tissues.

Indexed as

DNA MethylationGenetic VariationAdolescentAge FactorsChildChild, PreschoolEpigenomicsFemaleGenome-Wide Association StudyHumansMaleMonocytesMouth MucosaBuccal epithelial cellsDNA methylationGenetic variationIllumina 450K arrayPediatricPeripheral blood leukocytesSurrogate tissues

Identifiers

PMID30602389
PMCPMC6314079

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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.