Literature DB >> 27019159

DNA methylation of cord blood cell types: Applications for mixed cell birth studies.

Kelly M Bakulski1,2,3, Jason I Feinberg2,4, Shan V Andrews1, Jack Yang5, Shannon Brown1,6, Stephanie L McKenney7, Frank Witter8,9, Jeremy Walston5, Andrew P Feinberg2,4, M Daniele Fallin2,4,6.   

Abstract

Epigenome-wide association studies of disease widely use DNA methylation measured in blood as a surrogate tissue. Cell proportions can vary between people and confound associations of exposure or outcome. An adequate reference panel for estimating cell proportions from adult whole blood for DNA methylation studies is available, but an analogous cord blood cell reference panel is not yet available. Cord blood has unique cell types and the epigenetic signatures of standard cell types may not be consistent throughout the life course. Using magnetic bead sorting, we isolated cord blood cell types (nucleated red blood cells, granulocytes, monocytes, natural killer cells, B cells, CD4(+)T cells, and CD8(+)T cells) from 17 live births at Johns Hopkins Hospital. We confirmed enrichment of the cell types using fluorescence assisted cell sorting and ran DNA from the separated cell types on the Illumina Infinium HumanMethylation450 BeadChip array. After filtering, the final analysis was on 104 samples at 429,794 probes. We compared cell type specific signatures in cord to each other and methylation at 49.2% of CpG sites on the array differed by cell type (F-test P < 10(-8)). Differences between nucleated red blood cells and the remainder of the cell types were most pronounced (36.9% of CpG sites at P < 10(-8)) and 99.5% of these sites were hypomethylated relative to the other cell types. We also compared the mean-centered sorted cord profiles to the available adult reference panel and observed high correlation between the overlapping cell types for granulocytes and monocytes (both r=0.74), and poor correlation for CD8(+)T cells and NK cells (both r=0.08). We further provide an algorithm for estimating cell proportions in cord blood using the newly developed cord reference panel, which estimates biologically plausible cell proportions in whole cord blood samples.

Entities:  

Keywords:  Cellular heterogeneity; DNA methylation; cord blood; epidemiology; nucleated red blood cells

Mesh:

Year:  2016        PMID: 27019159      PMCID: PMC4889293          DOI: 10.1080/15592294.2016.1161875

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


  38 in total

1.  Fate of fetal nucleated erythrocytes circulating in maternal blood: apoptosis is induced by maternal oxygen concentration.

Authors:  Tetsuro Kondo; Akihiko Sekizawa; Hiroshi Saito; Masatoshi Jimbo; Yumi Sugito; Takashi Okai
Journal:  Clin Chem       Date:  2002-09       Impact factor: 8.327

2.  Prenatal mercury concentration is associated with changes in DNA methylation at TCEANC2 in newborns.

Authors:  Kelly M Bakulski; HwaJin Lee; Jason I Feinberg; Ellen M Wells; Shannon Brown; Julie B Herbstman; Frank R Witter; Rolf U Halden; Kathleen Caldwell; Mary Ellen Mortensen; Andrew E Jaffe; John Moye; Laura E Caulfield; Yi Pan; Lynn R Goldman; Andrew P Feinberg; M Daniele Fallin
Journal:  Int J Epidemiol       Date:  2015-04-22       Impact factor: 7.196

3.  Nucleated red blood cells count as first prognostic marker for adverse neonatal outcome in severe preeclamptic pregnancies.

Authors:  Vesna Elvedi Gasparović; Snjezana Gverić Ahmetasević; Ana Colić
Journal:  Coll Antropol       Date:  2012-09

4.  Evaluation of CytoDiff™ on cord blood WBC differential.

Authors:  F Gac; J B Thibert; C Le Berre; J Le Priol; G Semana; T Fest; M Roussel
Journal:  Int J Lab Hematol       Date:  2012-08-02       Impact factor: 2.877

5.  Nucleated red blood cell count at birth as an index of perinatal brain damage.

Authors:  G Buonocore; S Perrone; D Gioia; M G Gatti; C Massafra; R Agosta; R Bracci
Journal:  Am J Obstet Gynecol       Date:  1999-12       Impact factor: 8.661

6.  The human placenta methylome.

Authors:  Diane I Schroeder; John D Blair; Paul Lott; Hung On Ken Yu; Danna Hong; Florence Crary; Paul Ashwood; Cheryl Walker; Ian Korf; Wendy P Robinson; Janine M LaSalle
Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-25       Impact factor: 11.205

7.  Comprehensive methylome map of lineage commitment from haematopoietic progenitors.

Authors:  Hong Ji; Lauren I R Ehrlich; Jun Seita; Peter Murakami; Akiko Doi; Paul Lindau; Hwajin Lee; Martin J Aryee; Rafael A Irizarry; Kitai Kim; Derrick J Rossi; Matthew A Inlay; Thomas Serwold; Holger Karsunky; Lena Ho; George Q Daley; Irving L Weissman; Andrew P Feinberg
Journal:  Nature       Date:  2010-08-15       Impact factor: 49.962

8.  Human fetal to adult hemoglobin switching: changes in chromatin structure of the beta-globin gene locus.

Authors:  M Groudine; T Kohwi-Shigematsu; R Gelinas; G Stamatoyannopoulos; T Papayannopoulou
Journal:  Proc Natl Acad Sci U S A       Date:  1983-12       Impact factor: 11.205

9.  Maternal pre-pregnancy BMI and gestational weight gain, offspring DNA methylation and later offspring adiposity: findings from the Avon Longitudinal Study of Parents and Children.

Authors:  Gemma C Sharp; Debbie A Lawlor; Rebecca C Richmond; Abigail Fraser; Andrew Simpkin; Matthew Suderman; Hashem A Shihab; Oliver Lyttleton; Wendy McArdle; Susan M Ring; Tom R Gaunt; George Davey Smith; Caroline L Relton
Journal:  Int J Epidemiol       Date:  2015-04-08       Impact factor: 7.196

10.  Differential DNA methylation in umbilical cord blood of infants exposed to low levels of arsenic in utero.

Authors:  Devin C Koestler; Michele Avissar-Whiting; E Andres Houseman; Margaret R Karagas; Carmen J Marsit
Journal:  Environ Health Perspect       Date:  2013-06-11       Impact factor: 9.031

View more
  154 in total

1.  Maternal swimming pool exposure during pregnancy in relation to birth outcomes and cord blood DNA methylation among private well users.

Authors:  Lucas A Salas; Emily R Baker; Mark J Nieuwenhuijsen; Carmen J Marsit; Brock C Christensen; Margaret R Karagas
Journal:  Environ Int       Date:  2019-01-05       Impact factor: 9.621

2.  The Epigenetic Clock at Birth: Associations With Maternal Antenatal Depression and Child Psychiatric Problems.

Authors:  Anna Suarez; Jari Lahti; Darina Czamara; Marius Lahti-Pulkkinen; Anna K Knight; Polina Girchenko; Esa Hämäläinen; Eero Kajantie; Jari Lipsanen; Hannele Laivuori; Pia M Villa; Rebecca M Reynolds; Alicia K Smith; Elisabeth B Binder; Katri Räikkönen
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2018-03-15       Impact factor: 8.829

3.  DNA methylation of imprinted genes in Mexican-American newborn children with prenatal phthalate exposure.

Authors:  Gwen Tindula; Susan K Murphy; Carole Grenier; Zhiqing Huang; Karen Huen; Maria Escudero-Fung; Asa Bradman; Brenda Eskenazi; Cathrine Hoyo; Nina Holland
Journal:  Epigenomics       Date:  2018-06-29       Impact factor: 4.778

4.  Epigenome-wide association study reveals methylation pathways associated with childhood allergic sensitization.

Authors:  Cheng Peng; Evelien R Van Meel; Andres Cardenas; Sheryl L Rifas-Shiman; Abhijeet R Sonawane; Kimberly R Glass; Diane R Gold; Thomas A Platts-Mills; Xihong Lin; Emily Oken; Marie-France Hivert; Andrea A Baccarelli; Nicolette W De Jong; Janine F Felix; Vincent W Jaddoe; Liesbeth Duijts; Augusto A Litonjua; Dawn L DeMeo
Journal:  Epigenetics       Date:  2019-03-28       Impact factor: 4.528

5.  Misclassified exposure in epigenetic mediation analyses. Does DNA methylation mediate effects of smoking on birthweight?

Authors:  Linda Valeri; Sarah L Reese; Shanshan Zhao; Christian M Page; Wenche Nystad; Brent A Coull; Stephanie J London
Journal:  Epigenomics       Date:  2017-02-21       Impact factor: 4.778

6.  The neonatal methylome as a gatekeeper in the trajectory to childhood asthma.

Authors:  Avery DeVries; Donata Vercelli
Journal:  Epigenomics       Date:  2017-03-21       Impact factor: 4.778

7.  Genome-wide DNA methylation associations with spontaneous preterm birth in US blacks: findings in maternal and cord blood samples.

Authors:  Xiumei Hong; Ben Sherwood; Christine Ladd-Acosta; Shouneng Peng; Hongkai Ji; Ke Hao; Irina Burd; Tami R Bartell; Guoying Wang; Hui-Ju Tsai; Xin Liu; Yuelong Ji; Anastacia Wahl; Deanna Caruso; Aviva Lee-Parritz; Barry Zuckerman; Xiaobin Wang
Journal:  Epigenetics       Date:  2018-03-06       Impact factor: 4.528

8.  Changes in blood DNA methylation and incomplete adjustment for blood cell composition.

Authors:  Wilfried Karmaus; Su Chen
Journal:  Int J Epidemiol       Date:  2017-10-01       Impact factor: 7.196

9.  Epigenetic Research in Neuropsychiatric Disorders: the "Tissue Issue".

Authors:  Kelly M Bakulski; Alycia Halladay; Valerie W Hu; Jonathan Mill; M Daniele Fallin
Journal:  Curr Behav Neurosci Rep       Date:  2016-08-02

10.  The Impact of Air Pollution on Our Epigenome: How Far Is the Evidence? (A Systematic Review).

Authors:  Rossella Alfano; Zdenko Herceg; Tim S Nawrot; Marc Chadeau-Hyam; Akram Ghantous; Michelle Plusquin
Journal:  Curr Environ Health Rep       Date:  2018-12
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.