Literature DB >> 28696057

Optimizing the chances of success in the search for epigenetic biomarkers: Embracing genetic variation.

Robert Philibert1,2, Stephen J Glatt3.   

Abstract

The emphasis on clinical translation in biomedical research continues to grow. This focus has been particularly notable in those investigators using epigenetic approaches to decipher the biology of complex behavioral disorders. As a result of these efforts, reproducible findings for several disorders, such as smoking, have been generated, giving rise to hopes that biomarkers for other behavioral illnesses would be forthcoming. Unfortunately, that biomedical cornucopia has not yet materialized. In this editorial, we review progress to date and discuss barriers to generating epigenetic biomarkers for complex behavioral disorders. We highlight the need to incorporate information on genetic variation and develop more powerful bioinformatics tools in order to optimize the likelihood of success. We emphasize that searches should focus on clearly defined, readily distinguishable behavioral constructs and suggest that some well-intentioned methods, such as correction for cellular heterogeneity, may actually impede the identification of clinically relevant biomarkers in peripheral blood. Finally, we describe how the understanding created by the development of these biomarkers may lead to more valid animal models of neuropsychiatric illness. We conclude that the prospects for epigenetic biomarkers for complex disorders are bright, but emphasize that the journey to the clinical implementation of these findings will be a slow, iterative process.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  biomarkers; epigenetic; genetic variation

Mesh:

Substances:

Year:  2017        PMID: 28696057      PMCID: PMC5562041          DOI: 10.1002/ajmg.b.32569

Source DB:  PubMed          Journal:  Am J Med Genet B Neuropsychiatr Genet        ISSN: 1552-4841            Impact factor:   3.568


  41 in total

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Authors:  H Thomassin; E J Oakeley; T Grange
Journal:  Methods       Date:  1999-11       Impact factor: 3.608

Review 2.  The epigenomics of schizophrenia, in the mouse.

Authors:  Behnam Javidfar; Royce Park; Bibi S Kassim; Lucy K Bicks; Schahram Akbarian
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2017-07-12       Impact factor: 3.568

3.  Quantitative high-throughput analysis of DNA methylation patterns by base-specific cleavage and mass spectrometry.

Authors:  Mathias Ehrich; Matthew R Nelson; Patrick Stanssens; Marc Zabeau; Triantafillos Liloglou; George Xinarianos; Charles R Cantor; John K Field; Dirk van den Boom
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-21       Impact factor: 11.205

4.  Obesity is associated with increased red blood cell folate despite lower dietary intakes and serum concentrations.

Authors:  Julia K Bird; Alayne G Ronnenberg; Sang-Woon Choi; Fangling Du; Joel B Mason; Zhenhua Liu
Journal:  J Nutr       Date:  2014-11-12       Impact factor: 4.798

5.  Gene environment interactions with a novel variable Monoamine Oxidase A transcriptional enhancer are associated with antisocial personality disorder.

Authors:  Robert A Philibert; Pamela Wernett; Jeff Plume; Hans Packer; Gene H Brody; Steven R H Beach
Journal:  Biol Psychol       Date:  2011-05-07       Impact factor: 3.251

6.  Homocysteine associated genomic DNA hypermethylation in patients with chronic alcoholism.

Authors:  D Bönsch; B Lenz; U Reulbach; J Kornhuber; S Bleich
Journal:  J Neural Transm (Vienna)       Date:  2004-12       Impact factor: 3.575

7.  MAOA methylation is associated with nicotine and alcohol dependence in women.

Authors:  Robert A Philibert; Tracy D Gunter; Steven R H Beach; Gene H Brody; Anup Madan
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2008-07-05       Impact factor: 3.568

8.  Direct GR Binding Sites Potentiate Clusters of TF Binding across the Human Genome.

Authors:  Christopher M Vockley; Anthony M D'Ippolito; Ian C McDowell; William H Majoros; Alexias Safi; Lingyun Song; Gregory E Crawford; Timothy E Reddy
Journal:  Cell       Date:  2016-08-25       Impact factor: 41.582

Review 9.  Microbiome, inflammation, epigenetic alterations, and mental diseases.

Authors:  Reza Alam; Hamid M Abdolmaleky; Jin-Rong Zhou
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2017-07-10       Impact factor: 3.358

10.  The effect of smoking on DNA methylation of peripheral blood mononuclear cells from African American women.

Authors:  Meeshanthini V Dogan; Bridget Shields; Carolyn Cutrona; Long Gao; Frederick X Gibbons; Ronald Simons; Martha Monick; Gene H Brody; Kai Tan; Steven R H Beach; Robert A Philibert
Journal:  BMC Genomics       Date:  2014-02-22       Impact factor: 3.969

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  2 in total

Review 1.  Developing mass spectrometry for the quantitative analysis of neuropeptides.

Authors:  Christopher S Sauer; Ashley Phetsanthad; Olga L Riusech; Lingjun Li
Journal:  Expert Rev Proteomics       Date:  2021-08-26       Impact factor: 4.250

2.  Genome-wide and digital polymerase chain reaction epigenetic assessments of alcohol consumption.

Authors:  Robert Philibert; Meesha Dogan; Amanda Noel; Shelly Miller; Brianna Krukow; Emma Papworth; Joseph Cowley; April Knudsen; Steven R H Beach; Donald Black
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2018-04-28       Impact factor: 3.358

  2 in total

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