Literature DB >> 20034553

The promises and challenges of epigenetic epidemiology.

Karin B Michels1.   

Abstract

The union between epidemiology and epigenetics creates a new science that combines the strengths of both fields: the appropriate study design with adequate sample size to identify disease biomarkers and to uncover mechanistic pathways for environmental exposure and disease associations while controlling for confounding variables. Realization of the promises of epigenetic epidemiology requires overcoming some challenges in the design, conduct, and interpretation of epigenetic studies in human populations. These challenges include the choice of the appropriate tissue, confounding, misclassification, and effect modification. In particular, the tissue-specificity of epigenetic marks restricts epidemiologic studies of adequate size to easily accessible tissues. 2010 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 20034553     DOI: 10.1016/j.exger.2009.12.011

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  12 in total

Review 1.  Epigenetics, epidemiology and mitochondrial DNA diseases.

Authors:  Patrick F Chinnery; Hannah R Elliott; Gavin Hudson; David C Samuels; Caroline L Relton
Journal:  Int J Epidemiol       Date:  2012-01-28       Impact factor: 7.196

Review 2.  Recommendations for the design and analysis of epigenome-wide association studies.

Authors:  Karin B Michels; Alexandra M Binder; Sarah Dedeurwaerder; Charles B Epstein; John M Greally; Ivo Gut; E Andres Houseman; Benedetta Izzi; Karl T Kelsey; Alexander Meissner; Aleksandar Milosavljevic; Kimberly D Siegmund; Christoph Bock; Rafael A Irizarry
Journal:  Nat Methods       Date:  2013-10       Impact factor: 28.547

3.  Cord blood buffy coat DNA methylation is comparable to whole cord blood methylation.

Authors:  John Dou; Rebecca J Schmidt; Kelly S Benke; Craig Newschaffer; Irva Hertz-Picciotto; Lisa A Croen; Ana-Maria Iosif; Janine M LaSalle; M Daniele Fallin; Kelly M Bakulski
Journal:  Epigenetics       Date:  2018-02-16       Impact factor: 4.528

Review 4.  Approaches for drawing causal inferences from epidemiological birth cohorts: a review.

Authors:  Rebecca C Richmond; Aleef Al-Amin; George Davey Smith; Caroline L Relton
Journal:  Early Hum Dev       Date:  2014-09-26       Impact factor: 2.079

5.  Associations of plasma miRNAs with waist circumference and insulin resistance among women with polycystic ovary syndrome - Pilot study.

Authors:  Pandora L Wander; Daniel A Enquobahrie; Theo K Bammler; James W MacDonald; Sengkeo Srinouanprachanh; Thanmai Kaleru; Dori Khakpour; Subbulaxmi Trikudanathan
Journal:  Mol Cell Endocrinol       Date:  2022-07-14       Impact factor: 4.369

6.  Early-life influences on obesity: from preconception to adolescence.

Authors:  Mark L Wahlqvist; Stephen A Krawetz; Nico S Rizzo; Maria Gloria Dominguez-Bello; Linda M Szymanski; Shari Barkin; Ann Yatkine; Robert A Waterland; Julie A Mennella; Mina Desai; Michael G Ross; Nancy F Krebs; Bridget E Young; Jane Wardle; Christiane D Wrann; John G Kral
Journal:  Ann N Y Acad Sci       Date:  2015-06-02       Impact factor: 5.691

7.  Epigenome-Wide Association Study of Thyroid Function Traits Identifies Novel Associations of fT3 With KLF9 and DOT1L.

Authors:  Nicole Lafontaine; Purdey J Campbell; Juan E Castillo-Fernandez; Shelby Mullin; Ee Mun Lim; Phillip Kendrew; Michelle Lewer; Suzanne J Brown; Rae-Chi Huang; Phillip E Melton; Trevor A Mori; Lawrence J Beilin; Frank Dudbridge; Tim D Spector; Margaret J Wright; Nicholas G Martin; Allan F McRae; Vijay Panicker; Gu Zhu; John P Walsh; Jordana T Bell; Scott G Wilson
Journal:  J Clin Endocrinol Metab       Date:  2021-04-23       Impact factor: 5.958

8.  Transcriptional implications of intragenic DNA methylation in the oestrogen receptor alpha gene in breast cancer cells and tissues.

Authors:  Natalie S Shenker; Kirsty J Flower; Charlotte S Wilhelm-Benartzi; Wei Dai; Emma Bell; Edmund Gore; Mona El Bahrawy; Gillian Weaver; Robert Brown; James M Flanagan
Journal:  BMC Cancer       Date:  2015-05-01       Impact factor: 4.430

9.  The role of longitudinal cohort studies in epigenetic epidemiology: challenges and opportunities.

Authors:  Jane W Y Ng; Laura M Barrett; Andrew Wong; Diana Kuh; George Davey Smith; Caroline L Relton
Journal:  Genome Biol       Date:  2012-06-29       Impact factor: 13.583

10.  Epigenome-Wide Association Studies (EWAS) in Cancer.

Authors:  Mukesh Verma
Journal:  Curr Genomics       Date:  2012-06       Impact factor: 2.236

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