Literature DB >> 25371448

Temporal stability and determinants of white blood cell DNA methylation in the breakthrough generations study.

James M Flanagan1, Mark N Brook2, Nick Orr3, Katarzyna Tomczyk3, Penny Coulson2, Olivia Fletcher3, Michael E Jones2, Minouk J Schoemaker2, Alan Ashworth3, Anthony Swerdlow4, Robert Brown5, Montserrat Garcia-Closas6.   

Abstract

BACKGROUND: Epigenome-wide association studies (EWAS) using measurements of blood DNA methylation are performed to identify associations of methylation changes with environmental and lifestyle exposures and disease risk. However, little is known about the variation of methylation markers in the population and their stability over time, both important factors in the design and interpretation of EWAS. We aimed to identify stable variable methylated probes (VMP), i.e., markers that are variable in the population, yet stable over time.
METHODS: We estimated the intraclass correlation coefficient (ICC) for each probe on the Illumina 450K methylation array in paired samples collected approximately 6 years apart from 92 participants in the Breakthrough Generations Study. We also evaluated relationships with age, reproductive and hormonal history, weight, alcohol intake, and smoking.
RESULTS: Approximately 17% of probes had an ICC > 0.50 and were considered stable VMPs (stable-VMPs). Stable-VMPs were enriched for probes located in "shores" bordering CpG islands, and at approximately 1.3 kb downstream from the transcription start site in the transition between the unmethylated promoter and methylated gene body. Both cross-sectional and longitudinal data analyses provided strong evidence for associations between changes in methylation levels and aging. Smoking-related probes at 2q37.1 and AHRR were stable-VMPs and related to time since quitting. We also observed associations between methylation and weight changes.
CONCLUSION: Our results provide support for the use of white blood cell DNA methylation as a biomarker of exposure in EWAS. IMPACT: Larger studies, preferably with repeated measures over time, will be required to establish associations between specific probes and exposures. ©2014 American Association for Cancer Research.

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Year:  2014        PMID: 25371448     DOI: 10.1158/1055-9965.EPI-14-0767

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  29 in total

1.  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

2.  Loci-specific differences in blood DNA methylation in HBV-negative populations at risk for hepatocellular carcinoma development.

Authors:  Katarzyna Lubecka; Kirsty Flower; Megan Beetch; Jay Qiu; Lucinda Kurzava; Hannah Buvala; Adam Ruhayel; Samer Gawrieh; Suthat Liangpunsakul; Tracy Gonzalez; George McCabe; Naga Chalasani; James M Flanagan; Barbara Stefanska
Journal:  Epigenetics       Date:  2018-07-30       Impact factor: 4.528

3.  The effects of omega-3 polyunsaturated fatty acids and genetic variants on methylation levels of the interleukin-6 gene promoter.

Authors:  Yiyi Ma; Caren E Smith; Chao-Qiang Lai; Marguerite R Irvin; Laurence D Parnell; Yu-Chi Lee; Lucia D Pham; Stella Aslibekyan; Steven A Claas; Michael Y Tsai; Ingrid B Borecki; Edmond K Kabagambe; José M Ordovás; Devin M Absher; Donna K Arnett
Journal:  Mol Nutr Food Res       Date:  2015-11-23       Impact factor: 5.914

4.  Arthritis in adults, socioeconomic factors, and the moderating role of childhood maltreatment: cross-sectional data from the National Epidemiological Survey on Alcohol and Related Conditions.

Authors:  S L Brennan-Olsen; T L Taillieu; S Turner; J Bolton; S E Quirk; F Gomez; R L Duckham; S M Hosking; G Duque; D Green; T O Afifi
Journal:  Osteoporos Int       Date:  2018-08-21       Impact factor: 4.507

Review 5.  A Slice of the Suicidal Brain: What Have Postmortem Molecular Studies Taught Us?

Authors:  Daniel Almeida; Gustavo Turecki
Journal:  Curr Psychiatry Rep       Date:  2016-11       Impact factor: 5.285

6.  Epigenome-wide association studies for breast cancer risk and risk factors.

Authors:  Annelie Johansson; James M Flanagan
Journal:  Trends Cancer Res       Date:  2017

7.  Variation in DNA methylation of human blood over a 1-year period using the Illumina MethylationEPIC array.

Authors:  Ina Zaimi; Dong Pei; Devin C Koestler; Carmen J Marsit; Immaculata De Vivo; Shelley S Tworoger; Alexandra E Shields; Karl T Kelsey; Dominique S Michaud
Journal:  Epigenetics       Date:  2018-10-21       Impact factor: 4.528

8.  Epigenome-wide analysis of DNA methylation in lung tissue shows concordance with blood studies and identifies tobacco smoke-inducible enhancers.

Authors:  Theresa Ryan Stueve; Wen-Qing Li; Jianxin Shi; Crystal N Marconett; Tongwu Zhang; Chenchen Yang; Daniel Mullen; Chunli Yan; William Wheeler; Xing Hua; Beiyun Zhou; Zea Borok; Neil E Caporaso; Angela C Pesatori; Jubao Duan; Ite A Laird-Offringa; Maria Teresa Landi
Journal:  Hum Mol Genet       Date:  2017-08-01       Impact factor: 6.150

Review 9.  Molecular impacts of childhood abuse on the human brain.

Authors:  Pascal Ibrahim; Daniel Almeida; Corina Nagy; Gustavo Turecki
Journal:  Neurobiol Stress       Date:  2021-05-20

10.  DNA Methylation in Newborns and Maternal Smoking in Pregnancy: Genome-wide Consortium Meta-analysis.

Authors:  Bonnie R Joubert; Janine F Felix; Paul Yousefi; Kelly M Bakulski; Allan C Just; Carrie Breton; Sarah E Reese; Christina A Markunas; Rebecca C Richmond; Cheng-Jian Xu; Leanne K Küpers; Sam S Oh; Cathrine Hoyo; Olena Gruzieva; Cilla Söderhäll; Lucas A Salas; Nour Baïz; Hongmei Zhang; Johanna Lepeule; Carlos Ruiz; Symen Ligthart; Tianyuan Wang; Jack A Taylor; Liesbeth Duijts; Gemma C Sharp; Soesma A Jankipersadsing; Roy M Nilsen; Ahmad Vaez; M Daniele Fallin; Donglei Hu; Augusto A Litonjua; Bernard F Fuemmeler; Karen Huen; Juha Kere; Inger Kull; Monica Cheng Munthe-Kaas; Ulrike Gehring; Mariona Bustamante; Marie José Saurel-Coubizolles; Bilal M Quraishi; Jie Ren; Jörg Tost; Juan R Gonzalez; Marjolein J Peters; Siri E Håberg; Zongli Xu; Joyce B van Meurs; Tom R Gaunt; Marjan Kerkhof; Eva Corpeleijn; Andrew P Feinberg; Celeste Eng; Andrea A Baccarelli; Sara E Benjamin Neelon; Asa Bradman; Simon Kebede Merid; Anna Bergström; Zdenko Herceg; Hector Hernandez-Vargas; Bert Brunekreef; Mariona Pinart; Barbara Heude; Susan Ewart; Jin Yao; Nathanaël Lemonnier; Oscar H Franco; Michael C Wu; Albert Hofman; Wendy McArdle; Pieter Van der Vlies; Fahimeh Falahi; Matthew W Gillman; Lisa F Barcellos; Ashish Kumar; Magnus Wickman; Stefano Guerra; Marie-Aline Charles; John Holloway; Charles Auffray; Henning W Tiemeier; George Davey Smith; Dirkje Postma; Marie-France Hivert; Brenda Eskenazi; Martine Vrijheid; Hasan Arshad; Josep M Antó; Abbas Dehghan; Wilfried Karmaus; Isabella Annesi-Maesano; Jordi Sunyer; Akram Ghantous; Göran Pershagen; Nina Holland; Susan K Murphy; Dawn L DeMeo; Esteban G Burchard; Christine Ladd-Acosta; Harold Snieder; Wenche Nystad; Gerard H Koppelman; Caroline L Relton; Vincent W V Jaddoe; Allen Wilcox; Erik Melén; Stephanie J London
Journal:  Am J Hum Genet       Date:  2016-03-31       Impact factor: 11.043

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