Temporal Stability and Determinants of White Blood Cell DNA Methylation in the Breakthrough Generations Study

被引:51
作者
Flanagan, James M. [1 ]
Brook, Mark N. [2 ]
Orr, Nick [3 ]
Tomczyk, Katarzyna [3 ]
Coulson, Penny [2 ]
Fletcher, Olivia [3 ]
Jones, Michael E. [2 ]
Schoemaker, Minouk J. [2 ]
Ashworth, Alan [3 ]
Swerdlow, Anthony [2 ,4 ]
Brown, Robert [1 ,5 ]
Garcia-Closas, Montserrat [2 ,3 ]
机构
[1] Univ London Imperial Coll Sci Technol & Med, Dept Surg & Canc, Epigenet Unit, London W12 0NN, England
[2] Inst Canc Res, Div Genet & Epidemiol, London SW3 6JB, England
[3] Inst Canc Res, Breakthrough Breast Canc Res Ctr, London SW3 6JB, England
[4] Inst Canc Res, Div Breast Canc Res, London SW3 6JB, England
[5] Inst Canc Res, Div Med, London SW3 6JB, England
关键词
EPIGENOME-WIDE ASSOCIATION; BREAST-CANCER; EPIGENETIC DRIFT; PROMOTER METHYLATION; AGE; BIOMARKER; EXPOSURE; SMOKING; RISK; HYPERMETHYLATION;
D O I
10.1158/1055-9965.EPI-14-0767
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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. (C) 2014 AACR.
引用
收藏
页码:221 / 229
页数:9
相关论文
共 54 条
[1]   Acute Exercise Remodels Promoter Methylation in Human Skeletal Muscle [J].
Barres, Romain ;
Yan, Jie ;
Egan, Brendan ;
Treebak, Jonas Thue ;
Rasmussen, Morten ;
Fritz, Tomas ;
Caidahl, Kenneth ;
Krook, Anna ;
O'Gorman, Donal J. ;
Zierath, Juleen R. .
CELL METABOLISM, 2012, 15 (03) :405-411
[2]   Epigenome-Wide Scans Identify Differentially Methylated Regions for Age and Age-Related Phenotypes in a Healthy Ageing Population [J].
Bell, Jordana T. ;
Tsai, Pei-Chien ;
Yang, Tsun-Po ;
Pidsley, Ruth ;
Nisbet, James ;
Glass, Daniel ;
Mangino, Massimo ;
Zhai, Guangju ;
Zhang, Feng ;
Valdes, Ana ;
Shin, So-Youn ;
Dempster, Emma L. ;
Murray, Robin M. ;
Grundberg, Elin ;
Hedman, Asa K. ;
Nica, Alexandra ;
Small, Kerrin S. ;
Dermitzakis, Emmanouil T. ;
McCarthy, Mark I. ;
Mill, Jonathan ;
Spector, Tim D. ;
Deloukas, Panos .
PLOS GENETICS, 2012, 8 (04) :189-200
[3]   Intra-individual change over time in DNA methylation with familial clustering [J].
Bjornsson, Hans T. ;
Sigurdsson, Martin I. ;
Fallin, M. Daniele ;
Irizarry, Rafael A. ;
Aspelund, Thor ;
Cui, Hengmi ;
Yu, Wenqiang ;
Rongione, Michael A. ;
Ekstrom, Tomas J. ;
Harris, Tamara B. ;
Launer, Lenore J. ;
Eiriksdottir, Gudny ;
Leppert, Mark F. ;
Sapienza, Carmen ;
Gudnason, Vilmundur ;
Feinberg, Andrew P. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2008, 299 (24) :2877-2883
[4]   Tobacco-Smoking-Related Differential DNA Methylation: 27K Discovery and Replication [J].
Breitling, Lutz P. ;
Yang, Rongxi ;
Korn, Bernhard ;
Burwinkel, Barbara ;
Brenner, Hermann .
AMERICAN JOURNAL OF HUMAN GENETICS, 2011, 88 (04) :450-457
[5]   Is There a Link Between Genome-Wide Hypomethylation in Blood and Cancer Risk? [J].
Brennan, Kevin ;
Flanagan, James M. .
CANCER PREVENTION RESEARCH, 2012, 5 (12) :1345-1357
[6]   Intragenic ATM Methylation in Peripheral Blood DNA as a Biomarker of Breast Cancer Risk [J].
Brennan, Kevin ;
Garcia-Closas, Montserrat ;
Orr, Nick ;
Fletcher, Olivia ;
Jones, Michael ;
Ashworth, Alan ;
Swerdlow, Anthony ;
Thorne, Heather ;
Riboli, Elio ;
Vineis, Paolo ;
Dorronsoro, Miren ;
Clavel-Chapelon, Francoise ;
Panico, Salvatore ;
Onland-Moret, N. Charlotte ;
Trichopoulos, Dimitrios ;
Kaaks, Rudolf ;
Khaw, Kay-Tee ;
Brown, Robert ;
Flanagan, James M. .
CANCER RESEARCH, 2012, 72 (09) :2304-2313
[7]  
Brennan Kevin, 2012, Methods Mol Biol, V863, P439, DOI 10.1007/978-1-61779-612-8_27
[8]   Selective, stable demethylation of the interleukin-2 gene enhances transcription by an active process [J].
Bruniquel, D ;
Schwartz, RH .
NATURE IMMUNOLOGY, 2003, 4 (03) :235-240
[9]   Epigenetic methylations and their connections with metabolism [J].
Chiacchiera, Fulvio ;
Piunti, Andrea ;
Pasini, Diego .
CELLULAR AND MOLECULAR LIFE SCIENCES, 2013, 70 (09) :1495-1508
[10]   Breast Cancer DNA Methylation Profiles Are Associated with Tumor Size and Alcohol and Folate Intake [J].
Christensen, Brock C. ;
Kelsey, Karl T. ;
Zheng, Shichun ;
Houseman, E. Andres ;
Marsit, Carmen J. ;
Wrensch, Margaret R. ;
Wiemels, Joseph L. ;
Nelson, Heather H. ;
Karagas, Margaret R. ;
Kushi, Lawrence H. ;
Kwan, Marilyn L. ;
Wiencke, John K. .
PLOS GENETICS, 2010, 6 (07) :1-10