Literature DB >> 27195108

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

Javier Riancho1, Alvaro Del Real1, José A Riancho1.   

Abstract

Epigenetic mechanisms are able to alter gene expression, without altering DNA sequence, in a stable manner through cell divisions. They include, among others, the methylation of DNA cytosines and microRNAs and allow the cells to adapt to changing environmental conditions. In recent years, epigenetic association studies are providing new insights into the pathogenesis of complex disorders including prevalent skeletal disorders. Unlike the genome, the epigenome is cell and tissue specific and may change with age and a number of acquired factors. This poses particular difficulties for the design and interpretation of epigenetic studies, particularly those exploring the association of genome-wide epigenetic marks with disease phenotypes. In this report, we propose a framework to help in the critical appraisal of epigenetic association studies. In line with previous suggestions, we focus on the questions critical to appraise the validity of the study, to interpret the results and to assess the generalizability and relevance of the information.

Entities:  

Year:  2016        PMID: 27195108      PMCID: PMC4856000          DOI: 10.1038/bonekey.2016.24

Source DB:  PubMed          Journal:  Bonekey Rep        ISSN: 2047-6396


  73 in total

Review 1.  Epigenetics and the environment: emerging patterns and implications.

Authors:  Robert Feil; Mario F Fraga
Journal:  Nat Rev Genet       Date:  2012-01-04       Impact factor: 53.242

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Authors:  R Jaeschke; G Guyatt; D L Sackett
Journal:  JAMA       Date:  1994-02-02       Impact factor: 56.272

3.  Five freely circulating miRNAs and bone tissue miRNAs are associated with osteoporotic fractures.

Authors:  Claudine Seeliger; Katrin Karpinski; Alexander T Haug; Helen Vester; Andreas Schmitt; Jan S Bauer; Martijn van Griensven
Journal:  J Bone Miner Res       Date:  2014-08       Impact factor: 6.741

4.  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

5.  Multigenerational programming in the glucocorticoid programmed rat is associated with generation-specific and parent of origin effects.

Authors:  Amanda J Drake; Lincoln Liu; David Kerrigan; Richard R Meehan; Jonathan R Seckl
Journal:  Epigenetics       Date:  2011-11-01       Impact factor: 4.528

6.  Epigenetic variation during the adult lifespan: cross-sectional and longitudinal data on monozygotic twin pairs.

Authors:  Rudolf P Talens; Kaare Christensen; Hein Putter; Gonneke Willemsen; Lene Christiansen; Dennis Kremer; H Eka D Suchiman; P Eline Slagboom; Dorret I Boomsma; Bastiaan T Heijmans
Journal:  Aging Cell       Date:  2012-06-04       Impact factor: 9.304

7.  Epigenetic predictor of age.

Authors:  Sven Bocklandt; Wen Lin; Mary E Sehl; Francisco J Sánchez; Janet S Sinsheimer; Steve Horvath; Eric Vilain
Journal:  PLoS One       Date:  2011-06-22       Impact factor: 3.240

8.  The secret language of destiny: stress imprinting and transgenerational origins of disease.

Authors:  Fabiola C R Zucchi; Youli Yao; Gerlinde A Metz
Journal:  Front Genet       Date:  2012-06-04       Impact factor: 4.599

9.  A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies.

Authors:  Benjamin Lehne; Alexander W Drong; Marie Loh; Weihua Zhang; William R Scott; Sian-Tsung Tan; Uzma Afzal; James Scott; Marjo-Riitta Jarvelin; Paul Elliott; Mark I McCarthy; Jaspal S Kooner; John C Chambers
Journal:  Genome Biol       Date:  2015-02-15       Impact factor: 13.583

Review 10.  Non-canonical functions of the DNA methylome in gene regulation.

Authors:  James P Reddington; Sari Pennings; Richard R Meehan
Journal:  Biochem J       Date:  2013-04-01       Impact factor: 3.857

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  6 in total

Review 1.  Epigenetics of Skeletal Diseases.

Authors:  Alvaro Del Real; Leyre Riancho-Zarrabeitia; Laura López-Delgado; José A Riancho
Journal:  Curr Osteoporos Rep       Date:  2018-06       Impact factor: 5.096

2.  Arsenic exposure and human blood DNA methylation and hydroxymethylation profiles in two diverse populations from Bangladesh and Spain.

Authors:  Arce Domingo-Relloso; Anne Bozack; Samara Kiihl; Zulema Rodriguez-Hernandez; Pilar Rentero-Garrido; J Antonio Casasnovas; Montserrat Leon-Latre; Tamara Garcia-Barrera; J Luis Gomez-Ariza; Belen Moreno; Ana Cenarro; Griselda de Marco; Faruque Parvez; Abu B Siddique; Hasan Shahriar; Mohammad N Uddin; Tariqul Islam; Ana Navas-Acien; Mary Gamble; Maria Tellez-Plaza
Journal:  Environ Res       Date:  2021-09-10       Impact factor: 6.498

Review 3.  Epigenetic Markers and Microbiota/Metabolite-Induced Epigenetic Modifications in the Pathogenesis of Obesity, Metabolic Syndrome, Type 2 Diabetes, and Non-alcoholic Fatty Liver Disease.

Authors:  Daniela Stols-Gonçalves; Luca Schiliró Tristão; Peter Henneman; Max Nieuwdorp
Journal:  Curr Diab Rep       Date:  2019-05-01       Impact factor: 4.810

4.  Interpretation of the hygiene and microflora hypothesis for allergic diseases through epigenetic epidemiology.

Authors:  Jong-Myon Bae
Journal:  Epidemiol Health       Date:  2018-03-10

5.  Cadmium, Smoking, and Human Blood DNA Methylation Profiles in Adults from the Strong Heart Study.

Authors:  Arce Domingo-Relloso; Angela L Riffo-Campos; Karin Haack; Pilar Rentero-Garrido; Christine Ladd-Acosta; Daniele M Fallin; Wan Yee Tang; Miguel Herreros-Martinez; Juan R Gonzalez; Anne K Bozack; Shelley A Cole; Ana Navas-Acien; Maria Tellez-Plaza
Journal:  Environ Health Perspect       Date:  2020-06-02       Impact factor: 9.031

6.  Epigenetics of obstructive sleep apnea syndrome: a systematic review.

Authors:  Brittany A Leader; Bala S C Koritala; Charles A Moore; Elaine H Grigg Dean; Leah C Kottyan; David F Smith
Journal:  J Clin Sleep Med       Date:  2021-12-01       Impact factor: 4.062

  6 in total

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