Literature DB >> 26231364

DNA Methylation in Whole Blood: Uses and Challenges.

E Andres Houseman1, Stephanie Kim, Karl T Kelsey, John K Wiencke.   

Abstract

Due to its convenience, the blood is commonly used in epigenomic studies, but its heterogeneous nature leads to interpretation difficulties, given the now widely recognized potential for confounding by cell composition effects. Many recent publications have reported significant associations between DNA methylation and a variety of health conditions or exposures. In this review, we summarize many of these recent publications, highlighting the findings in the context of potential cell composition effects, particularly findings that are indicative of immune response or inflammation. While there is substantial evidence for confounding by cell composition, there is nevertheless also evidence for differential DNA methylation suggestive of processes that are not cell mediated. We conclude that important biological insights still may be gained from studying DNA methylation in whole blood, either by investigating the cell composition effects themselves or processes that demonstrate associations even after adjusting for cell composition effects.

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Year:  2015        PMID: 26231364     DOI: 10.1007/s40572-015-0050-3

Source DB:  PubMed          Journal:  Curr Environ Health Rep        ISSN: 2196-5412


  58 in total

1.  Variable DNA methylation is associated with chronic obstructive pulmonary disease and lung function.

Authors:  Weiliang Qiu; Andrea Baccarelli; Vincent J Carey; Nadia Boutaoui; Helene Bacherman; Barbara Klanderman; Stephen Rennard; Alvar Agusti; Wayne Anderson; David A Lomas; Dawn L DeMeo
Journal:  Am J Respir Crit Care Med       Date:  2011-12-08       Impact factor: 21.405

2.  Circulating lymphocyte subsets in normal adults are variable and can be clustered into subgroups.

Authors:  Debora R Sekiguchi; Sara B Smith; Jennifer A Sutter; Noah G Goodman; Kathleen Propert; Yoram Louzoun; Wade Rogers; Eline T Luning Prak
Journal:  Cytometry B Clin Cytom       Date:  2011-04-06       Impact factor: 3.058

3.  Genome-wide DNA methylation in neonates exposed to maternal depression, anxiety, or SSRI medication during pregnancy.

Authors:  Amy L Non; Alexandra M Binder; Laura D Kubzansky; Karin B Michels
Journal:  Epigenetics       Date:  2014-04-21       Impact factor: 4.528

4.  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

5.  Genome-wide analysis reveals DNA methylation markers that vary with both age and obesity.

Authors:  Markus Sällman Almén; Emil K Nilsson; Josefin A Jacobsson; Ineta Kalnina; Janis Klovins; Robert Fredriksson; Helgi B Schiöth
Journal:  Gene       Date:  2014-07-08       Impact factor: 3.688

6.  Cadmium exposure and the epigenome: Exposure-associated patterns of DNA methylation in leukocytes from mother-baby pairs.

Authors:  Alison P Sanders; Lisa Smeester; Daniel Rojas; Tristan DeBussycher; Michael C Wu; Fred A Wright; Yi-Hui Zhou; Jessica E Laine; Julia E Rager; Geeta K Swamy; Allison Ashley-Koch; Marie Lynn Miranda; Rebecca C Fry
Journal:  Epigenetics       Date:  2013-10-28       Impact factor: 4.528

7.  PTSD and DNA Methylation in Select Immune Function Gene Promoter Regions: A Repeated Measures Case-Control Study of U.S. Military Service Members.

Authors:  Jennifer A Rusiecki; Celia Byrne; Zygmunt Galdzicki; Vasantha Srikantan; Ligong Chen; Matthew Poulin; Liying Yan; Andrea Baccarelli
Journal:  Front Psychiatry       Date:  2013-06-24       Impact factor: 4.157

8.  The relationship of DNA methylation with age, gender and genotype in twins and healthy controls.

Authors:  Marco P Boks; Eske M Derks; Daniel J Weisenberger; Erik Strengman; Esther Janson; Iris E Sommer; René S Kahn; Roel A Ophoff
Journal:  PLoS One       Date:  2009-08-26       Impact factor: 3.240

9.  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

10.  A panel study of occupational exposure to fine particulate matter and changes in DNA methylation over a single workday and years worked in boilermaker welders.

Authors:  Molly L Kile; Shona Fang; Andrea A Baccarelli; Letizia Tarantini; Jennifer Cavallari; David C Christiani
Journal:  Environ Health       Date:  2013-06-11       Impact factor: 5.984

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  61 in total

1.  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

2.  DNA methylation analysis from saliva samples for epidemiological studies.

Authors:  Shota Nishitani; Sasha E Parets; Brian W Haas; Alicia K Smith
Journal:  Epigenetics       Date:  2018-08-01       Impact factor: 4.528

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

Authors:  Kelly M Bakulski; Jason I Feinberg; Shan V Andrews; Jack Yang; Shannon Brown; Stephanie L McKenney; Frank Witter; Jeremy Walston; Andrew P Feinberg; M Daniele Fallin
Journal:  Epigenetics       Date:  2016-03-28       Impact factor: 4.528

4.  Enlarged leukocyte referent libraries can explain additional variance in blood-based epigenome-wide association studies.

Authors:  Stephanie Kim; Melissa Eliot; Devin C Koestler; Eugene A Houseman; James G Wetmur; John K Wiencke; Karl T Kelsey
Journal:  Epigenomics       Date:  2016-08-16       Impact factor: 4.778

Review 5.  How to interpret epigenetic association studies: a guide for clinicians.

Authors:  Javier Riancho; Alvaro Del Real; José A Riancho
Journal:  Bonekey Rep       Date:  2016-05-04

6.  miRNAs differentially expressed by next-generation sequencing in cord blood buffy coat samples of boys and girls.

Authors:  Daneida Lizarraga; Karen Huen; Mary Combs; Maria Escudero-Fung; Brenda Eskenazi; Nina Holland
Journal:  Epigenomics       Date:  2016-11-24       Impact factor: 4.778

Review 7.  The Intersection of Aging Biology and the Pathobiology of Lung Diseases: A Joint NHLBI/NIA Workshop.

Authors:  G R Scott Budinger; Ronald A Kohanski; Weiniu Gan; Michael S Kobor; Luis A Amaral; Mary Armanios; Karl T Kelsey; Annie Pardo; Rubin Tuder; Fernando Macian; Navdeep Chandel; Douglas Vaughan; Mauricio Rojas; Ana L Mora; Elizabeth Kovacs; Steven R Duncan; Toren Finkel; Augustine Choi; Oliver Eickelberg; Danica Chen; Alvar Agusti; Moises Selman; William E Balch; Paula Busse; Anning Lin; Richard Morimoto; Jacob I Sznajder; Victor J Thannickal
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2017-10-12       Impact factor: 6.053

8.  Potential epigenetic biomarkers of obesity-related insulin resistance in human whole-blood.

Authors:  Samantha E Day; Richard L Coletta; Joon Young Kim; Luis A Garcia; Latoya E Campbell; Tonya R Benjamin; Lori R Roust; Elena A De Filippis; Lawrence J Mandarino; Dawn K Coletta
Journal:  Epigenetics       Date:  2017-01-20       Impact factor: 4.528

Review 9.  Immunomethylomics: A Novel Cancer Risk Prediction Tool.

Authors:  Karl T Kelsey; John K Wiencke
Journal:  Ann Am Thorac Soc       Date:  2018-04

10.  Differential DNA methylation analysis optimally requires purified cell populations.

Authors:  Michael K Skinner
Journal:  Fertil Steril       Date:  2016-06-24       Impact factor: 7.329

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