Literature DB >> 25538225

Intraindividual variation and short-term temporal trend in DNA methylation of human blood.

Yurii B Shvetsov1, Min-Ae Song2, Qiuyin Cai3, Maarit Tiirikainen4, Yong-Bing Xiang5, Xiao-Ou Shu3, Herbert Yu4.   

Abstract

BACKGROUND: Between- and within-person variation in DNA methylation levels are important parameters to be considered in epigenome-wide association studies. Temporal change is one source of within-person variation in DNA methylation that has been linked to aging and disease.
METHODS: We analyzed CpG-site-specific intraindividual variation and short-term temporal trend in leukocyte DNA methylation among 24 healthy Chinese women, with blood samples drawn at study entry and after 9 months. Illumina HumanMethylation450 BeadChip was used to measure methylation. Intraclass correlation coefficients (ICC) and trend estimates were summarized by genomic location and probe type.
RESULTS: The median ICC was 0.36 across nonsex chromosomes and 0.80 on the X chromosome. There was little difference in ICC profiles by genomic region and probe type. Among CpG loci with high variability between participants, more than 99% had ICC > 0.8. Statistically significant trend was observed in 10.9% CpG loci before adjustment for cell-type composition and in 3.4% loci after adjustment.
CONCLUSIONS: For CpG loci differentially methylated across subjects, methylation levels can be reliably assessed with one blood sample. More samples per subject are needed for low-variability and unmethylated loci. Temporal changes are largely driven by changes in cell-type composition of blood samples, but temporal trend unrelated to cell types is detected in a small percentage of CpG sites. IMPACT: This study shows that one measurement can reliably assess methylation of differentially methylated CpG loci. Cancer Epidemiol Biomarkers Prev; 24(3); 490-7. ©2014 AACR. ©2014 American Association for Cancer Research.

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Year:  2014        PMID: 25538225      PMCID: PMC4355238          DOI: 10.1158/1055-9965.EPI-14-0853

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


  33 in total

Review 1.  DNA methylation in white blood cells: association with risk factors in epidemiologic studies.

Authors:  Mary Beth Terry; Lissette Delgado-Cruzata; Neomi Vin-Raviv; Hui Chen Wu; Regina M Santella
Journal:  Epigenetics       Date:  2011-07-01       Impact factor: 4.528

2.  Intraindividual variability of plasma antioxidants, markers of oxidative stress, C-reactive protein, cotinine, and other biomarkers.

Authors:  Gladys Block; Marion Dietrich; Edward Norkus; Christopher Jensen; Neal L Benowitz; Jason D Morrow; Mark Hudes; Lester Packer
Journal:  Epidemiology       Date:  2006-07       Impact factor: 4.822

Review 3.  Do age-related changes in DNA methylation play a role in the development of age-related diseases?

Authors:  Sanne D van Otterdijk; John C Mathers; Gordon Strathdee
Journal:  Biochem Soc Trans       Date:  2013-06       Impact factor: 5.407

4.  Age-dependent DNA methylation of genes that are suppressed in stem cells is a hallmark of cancer.

Authors:  Andrew E Teschendorff; Usha Menon; Aleksandra Gentry-Maharaj; Susan J Ramus; Daniel J Weisenberger; Hui Shen; Mihaela Campan; Houtan Noushmehr; Christopher G Bell; A Peter Maxwell; David A Savage; Elisabeth Mueller-Holzner; Christian Marth; Gabrijela Kocjan; Simon A Gayther; Allison Jones; Stephan Beck; Wolfgang Wagner; Peter W Laird; Ian J Jacobs; Martin Widschwendter
Journal:  Genome Res       Date:  2010-03-10       Impact factor: 9.043

5.  Distinct DNA methylomes of newborns and centenarians.

Authors:  Holger Heyn; Ning Li; Humberto J Ferreira; Sebastian Moran; David G Pisano; Antonio Gomez; Javier Diez; Jose V Sanchez-Mut; Fernando Setien; F Javier Carmona; Annibale A Puca; Sergi Sayols; Miguel A Pujana; Jordi Serra-Musach; Isabel Iglesias-Platas; Francesc Formiga; Agustin F Fernandez; Mario F Fraga; Simon C Heath; Alfonso Valencia; Ivo G Gut; Jun Wang; Manel Esteller
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-11       Impact factor: 11.205

6.  The Shanghai Women's Health Study: rationale, study design, and baseline characteristics.

Authors:  Wei Zheng; Wong-Ho Chow; Gong Yang; Fan Jin; Nathaniel Rothman; Aaron Blair; Hong-Lan Li; Wanqing Wen; Bu-Tian Ji; Qi Li; Xiao-Ou Shu; Yu-Tang Gao
Journal:  Am J Epidemiol       Date:  2005-10-19       Impact factor: 4.897

7.  Metabolomics in epidemiology: sources of variability in metabolite measurements and implications.

Authors:  Joshua N Sampson; Simina M Boca; Xiao Ou Shu; Rachael Z Stolzenberg-Solomon; Charles E Matthews; Ann W Hsing; Yu Ting Tan; Bu-Tian Ji; Wong-Ho Chow; Qiuyin Cai; Da Ke Liu; Gong Yang; Yong Bing Xiang; Wei Zheng; Rashmi Sinha; Amanda J Cross; Steven C Moore
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-02-08       Impact factor: 4.254

Review 8.  Blood-derived DNA methylation markers of cancer risk.

Authors:  Carmen Marsit; Brock Christensen
Journal:  Adv Exp Med Biol       Date:  2013       Impact factor: 2.622

9.  Continuous Aging of the Human DNA Methylome Throughout the Human Lifespan.

Authors:  Asa Johansson; Stefan Enroth; Ulf Gyllensten
Journal:  PLoS One       Date:  2013-06-27       Impact factor: 3.240

10.  Accounting for cellular heterogeneity is critical in epigenome-wide association studies.

Authors:  Andrew E Jaffe; Rafael A Irizarry
Journal:  Genome Biol       Date:  2014-02-04       Impact factor: 13.583

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  15 in total

Review 1.  Integrating -Omics Approaches into Human Population-Based Studies of Prenatal and Early-Life Exposures.

Authors:  Todd M Everson; Carmen J Marsit
Journal:  Curr Environ Health Rep       Date:  2018-09

2.  Causes of blood methylomic variation for middle-aged women measured by the HumanMethylation450 array.

Authors:  Shuai Li; Ee Ming Wong; Tuong L Nguyen; Ji-Hoon Eric Joo; Jennifer Stone; Gillian S Dite; Graham G Giles; Richard Saffery; Melissa C Southey; John L Hopper
Journal:  Epigenetics       Date:  2017       Impact factor: 4.528

3.  Low reliability of DNA methylation across Illumina Infinium platforms in cord blood: implications for replication studies and meta-analyses of prenatal exposures.

Authors:  Emilie Willoch Olstad; Hedvig Marie Egeland Nordeng; Geir Kjetil Sandve; Robert Lyle; Kristina Gervin
Journal:  Clin Epigenetics       Date:  2022-06-28       Impact factor: 7.259

4.  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

5.  Genome-wide association studies and epigenome-wide association studies go together in cancer control.

Authors:  Mukesh Verma
Journal:  Future Oncol       Date:  2016-04-15       Impact factor: 3.404

6.  Variability of multi-omics profiles in a population-based child cohort.

Authors:  Marta Gallego-Paüls; Carles Hernández-Ferrer; Mariona Bustamante; Xavier Basagaña; Jose Barrera-Gómez; Chung-Ho E Lau; Alexandros P Siskos; Marta Vives-Usano; Carlos Ruiz-Arenas; John Wright; Remy Slama; Barbara Heude; Maribel Casas; Regina Grazuleviciene; Leda Chatzi; Eva Borràs; Eduard Sabidó; Ángel Carracedo; Xavier Estivill; Jose Urquiza; Muireann Coen; Hector C Keun; Juan R González; Martine Vrijheid; Léa Maitre
Journal:  BMC Med       Date:  2021-07-22       Impact factor: 8.775

7.  DNA methylation signatures of chronic alcohol dependence in purified CD3+ T-cells of patients undergoing alcohol treatment.

Authors:  Christof Brückmann; Sumaiya A Islam; Julia L MacIsaac; Alexander M Morin; Kathrin N Karle; Adriana Di Santo; Richard Wüst; Immanuel Lang; Anil Batra; Michael S Kobor; Vanessa Nieratschker
Journal:  Sci Rep       Date:  2017-07-26       Impact factor: 4.379

8.  Intraindividual dynamics of transcriptome and genome-wide stability of DNA methylation.

Authors:  Ryohei Furukawa; Tsuyoshi Hachiya; Hideki Ohmomo; Yuh Shiwa; Kanako Ono; Sadafumi Suzuki; Mamoru Satoh; Jiro Hitomi; Kenji Sobue; Atsushi Shimizu
Journal:  Sci Rep       Date:  2016-05-19       Impact factor: 4.379

9.  Reliability of DNA methylation measures from dried blood spots and mononuclear cells using the HumanMethylation450k BeadArray.

Authors:  Pierre-Antoine Dugué; Dallas R English; Robert J MacInnis; Chol-Hee Jung; Julie K Bassett; Liesel M FitzGerald; Ee Ming Wong; Jihoon E Joo; John L Hopper; Melissa C Southey; Graham G Giles; Roger L Milne
Journal:  Sci Rep       Date:  2016-07-26       Impact factor: 4.379

10.  Agreement in DNA methylation levels from the Illumina 450K array across batches, tissues, and time.

Authors:  Marie Forest; Kieran J O'Donnell; Greg Voisin; Helene Gaudreau; Julia L MacIsaac; Lisa M McEwen; Patricia P Silveira; Meir Steiner; Michael S Kobor; Michael J Meaney; Celia M T Greenwood
Journal:  Epigenetics       Date:  2018-01-30       Impact factor: 4.528

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