ArticleEpigenetics2019
Don't brush off buccal data heterogeneity.
Article in Epigenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- Not all saliva samples are equal: The role of cellular heterogeneity in DNA methylation and epigenetic age analyses with biological and psychosocial factors.Psychoneuroendocrinology · 2026Article
- Exome Sequencing to Identify Novel Susceptibility Genes for Nonsyndromic Split-Hand/Ft Malformation: A Report From the National Birth Defects Prevention Study.Birth defects research · 2025Article
- Childhood Neighborhood Disadvantage, Parenting, and Adult Health.American journal of preventive medicine · 2022Article
- Preterm birth buccal cell epigenetic biomarkers to facilitate preventative medicine.Scientific reports · 2022Article
- Equivalent DNA methylation variation between monozygotic co-twins and unrelated individuals reveals universal epigenetic inter-individual dissimilarity.Genome biology · 2021Article
- Epigenetic Impacts of Early Life Stress in Fetal Alcohol Spectrum Disorders Shape the Neurodevelopmental Continuum.Frontiers in molecular neuroscience · 2021Article
- Genome-Wide DNA Methylation Patterns in Children Exposed to Nonpharmacologically Treated Prenatal Depressive Symptoms: Results From 2 Independent Cohorts.Epigenetics insights · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Buccal epithelial cells are among the most clinically accessible tissues and are increasingly being used to identify epigenetic disease patterns. However, substantial variation in buccal DNA methylation patterns indicates heterogeneity of cell types within and between samples, raising questions of data quality. We systematically estimated cell-type composition for a large collection of buccal and saliva samples from 11 published studies of DNA methylation. In these we identified numerous cases of buccal samples with questionable purity, which may be affected by sampling from individuals with neurodevelopmental disorders, and by the brushes used for sample collection. Further challenges are involved in comparisons with tissues such as saliva, in which buccal component varies widely. We propose a reference-based method of correcting for buccal purity that reduces unwanted variation while preserving cross-tissue differences. Our work demonstrates the wide variation of buccal quality in epigenetic studies and suggests a possible approach to overcome this issue.
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Registered trials
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.