Literature DB >> 29451060

Cord blood buffy coat DNA methylation is comparable to whole cord blood methylation.

John Dou1, Rebecca J Schmidt2,3, Kelly S Benke4, Craig Newschaffer5,6, Irva Hertz-Picciotto2,3, Lisa A Croen7, Ana-Maria Iosif2,3, Janine M LaSalle3,8, M Daniele Fallin4,9, Kelly M Bakulski1.   

Abstract

Cord blood DNA methylation is associated with numerous health outcomes and environmental exposures. Whole cord blood DNA reflects all nucleated blood cell types, while centrifuging whole blood separates red blood cells, generating a white blood cell buffy coat. Both sample types are used in DNA methylation studies. Cell types have unique methylation patterns and processing can impact cell distributions, which may influence comparability. We evaluated differences in cell composition and DNA methylation between cord blood buffy coat and whole cord blood samples. Cord blood DNA methylation was measured with the Infinium EPIC BeadChip (Illumina) in eight individuals, each contributing buffy coat and whole blood samples. We analyzed principal components (PC) of methylation, performed hierarchical clustering, and computed correlations of mean-centered methylation between pairs. We conducted moderated t-tests on single sites and estimated cell composition. DNA methylation PCs were associated with individual (PPC1 = 1.4 × 10-9; PPC2 = 2.9 × 10-5; PPC3 = 3.8 × 10-5; PPC4 = 4.2 × 10-6; PPC5 = 9.9 × 10-13, PPC6 = 1.3 × 10-11) and not with sample type (PPC1-6>0.7). Samples hierarchically clustered by individual. Pearson correlations of mean-centered methylation between paired samples ranged from r = 0.66 to r = 0.87. No individual site significantly differed between buffy coat and whole cord blood when adjusting for multiple comparisons (five sites had unadjusted P<10-5). Estimated cell type proportions did not differ by sample type (P = 0.46), and estimated proportions were highly correlated between paired samples (r = 0.99). Differences in methylation and cell composition between buffy coat and whole cord blood are much lower than inter-individual variation, demonstrating that both sample preparation types can be analytically combined and compared.

Keywords:  DNA methylation; buffy coat; cord blood; epigenetic epidemiology; whole blood

Mesh:

Year:  2018        PMID: 29451060      PMCID: PMC5836975          DOI: 10.1080/15592294.2017.1417710

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


  34 in total

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Journal:  Epigenetics       Date:  2016-09       Impact factor: 4.528

5.  Prenatal phthalate exposure and altered patterns of DNA methylation in cord blood.

Authors:  Olivia Solomon; Paul Yousefi; Karen Huen; Robert B Gunier; Maria Escudero-Fung; Lisa F Barcellos; Brenda Eskenazi; Nina Holland
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6.  DNA methylation mediates the effect of maternal smoking during pregnancy on birthweight of the offspring.

Authors:  Leanne K Küpers; Xiaojing Xu; Soesma A Jankipersadsing; Ahmad Vaez; Sacha la Bastide-van Gemert; Salome Scholtens; Ilja M Nolte; Rebecca C Richmond; Caroline L Relton; Janine F Felix; Liesbeth Duijts; Joyce B van Meurs; Henning Tiemeier; Vincent W Jaddoe; Xiaoling Wang; Eva Corpeleijn; Harold Snieder
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10.  Novel DNA methylation profiles associated with key gene regulation and transcription pathways in blood and placenta of growth-restricted neonates.

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Journal:  Epigenetics       Date:  2015-01-23       Impact factor: 4.528

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1.  DNA methylome of human neonatal umbilical cord: Enrichment of differentially methylated regions compared to umbilical cord blood DNA at transcription factor genes involved in body patterning and effects of maternal folate deficiency or children's sex.

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2.  Buffy Coat DNA Methylation Profile Is Representative of Methylation Patterns in White Blood Cell Types in Normal Pregnancy.

Authors:  Ranine Ghamrawi; Igor Velickovic; Ognjen Milicevic; Wendy M White; Lillian Rosa Thistlethwaite; Julie M Cunningham; Aleksandar Milosavljevic; Natasa M Milic; Vesna D Garovic
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3.  Disrupted methylation patterns at birth persist in early childhood: a prospective cohort analysis.

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