Literature DB >> 30821575

Don't brush off buccal data heterogeneity.

Andrei L Turinsky1,2, Darci T Butcher3, Sanaa Choufani1, Rosanna Weksberg1,4,5,6,7, Michael Brudno1,2,8.   

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.

Entities:  

Keywords:  DNA methylation; Epigenetics; buccal epithelial cells; tissue heterogeneity

Year:  2019        PMID: 30821575      PMCID: PMC6557604          DOI: 10.1080/15592294.2019.1581592

Source DB:  PubMed          Journal:  Epigenetics        ISSN: 1559-2294            Impact factor:   4.528


  35 in total

1.  Gene Expression Omnibus: NCBI gene expression and hybridization array data repository.

Authors:  Ron Edgar; Michael Domrachev; Alex E Lash
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

2.  Adjusting batch effects in microarray expression data using empirical Bayes methods.

Authors:  W Evan Johnson; Cheng Li; Ariel Rabinovic
Journal:  Biostatistics       Date:  2006-04-21       Impact factor: 5.899

Review 3.  Cancer as an epigenetic disease: DNA methylation and chromatin alterations in human tumours.

Authors:  Manel Esteller; James G Herman
Journal:  J Pathol       Date:  2002-01       Impact factor: 7.996

Review 4.  Germline epimutation: A basis for epigenetic disease in humans.

Authors:  David I K Martin; Robyn Ward; Catherine M Suter
Journal:  Ann N Y Acad Sci       Date:  2005       Impact factor: 5.691

5.  Genetic fingerprinting in mouthwashes of patients after allogeneic bone marrow transplantation.

Authors:  G Endler; H Greinix; K Winkler; G Mitterbauer; C Mannhalter
Journal:  Bone Marrow Transplant       Date:  1999-07       Impact factor: 5.483

6.  Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis.

Authors:  Pan Du; Xiao Zhang; Chiang-Ching Huang; Nadereh Jafari; Warren A Kibbe; Lifang Hou; Simon M Lin
Journal:  BMC Bioinformatics       Date:  2010-11-30       Impact factor: 3.169

Review 7.  Epigenetics in human disease and prospects for epigenetic therapy.

Authors:  Gerda Egger; Gangning Liang; Ana Aparicio; Peter A Jones
Journal:  Nature       Date:  2004-05-27       Impact factor: 49.962

8.  Functional annotation of the human brain methylome identifies tissue-specific epigenetic variation across brain and blood.

Authors:  Matthew N Davies; Manuela Volta; Ruth Pidsley; Katie Lunnon; Abhishek Dixit; Simon Lovestone; Cristian Coarfa; R Alan Harris; Aleksandar Milosavljevic; Claire Troakes; Safa Al-Sarraj; Richard Dobson; Leonard C Schalkwyk; Jonathan Mill
Journal:  Genome Biol       Date:  2012-06-15       Impact factor: 13.583

9.  Removing batch effects in analysis of expression microarray data: an evaluation of six batch adjustment methods.

Authors:  Chao Chen; Kay Grennan; Judith Badner; Dandan Zhang; Elliot Gershon; Li Jin; Chunyu Liu
Journal:  PLoS One       Date:  2011-02-28       Impact factor: 3.240

10.  DNA methylation arrays as surrogate measures of cell mixture distribution.

Authors:  Eugene Andres Houseman; William P Accomando; Devin C Koestler; Brock C Christensen; Carmen J Marsit; Heather H Nelson; John K Wiencke; Karl T Kelsey
Journal:  BMC Bioinformatics       Date:  2012-05-08       Impact factor: 3.169

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  5 in total

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Authors:  Sylvie Mrug; Malcolm Barker-Kamps; Catheryn A Orihuela; Amit Patki; Hemant K Tiwari
Journal:  Am J Prev Med       Date:  2022-07       Impact factor: 6.604

2.  Genome-Wide DNA Methylation Patterns in Children Exposed to Nonpharmacologically Treated Prenatal Depressive Symptoms: Results From 2 Independent Cohorts.

Authors:  Valeska Stonawski; Jakob Roetner; Tamme W Goecke; Peter A Fasching; Matthias W Beckmann; Johannes Kornhuber; Oliver Kratz; Gunther H Moll; Anna Eichler; Hartmut Heinrich; Stefan Frey
Journal:  Epigenet Insights       Date:  2020-06-16

3.  Equivalent DNA methylation variation between monozygotic co-twins and unrelated individuals reveals universal epigenetic inter-individual dissimilarity.

Authors:  Benjamin Planterose Jiménez; Fan Liu; Amke Caliebe; Diego Montiel González; Jordana T Bell; Manfred Kayser; Athina Vidaki
Journal:  Genome Biol       Date:  2021-01-05       Impact factor: 13.583

4.  Preterm birth buccal cell epigenetic biomarkers to facilitate preventative medicine.

Authors:  Paul Winchester; Eric Nilsson; Daniel Beck; Michael K Skinner
Journal:  Sci Rep       Date:  2022-03-01       Impact factor: 4.379

5.  Epigenetic Impacts of Early Life Stress in Fetal Alcohol Spectrum Disorders Shape the Neurodevelopmental Continuum.

Authors:  Bonnie Alberry; Benjamin I Laufer; Eric Chater-Diehl; Shiva M Singh
Journal:  Front Mol Neurosci       Date:  2021-06-03       Impact factor: 5.639

  5 in total

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