Literature DB >> 28691784

Epigenome-wide association of PTSD from heterogeneous cohorts with a common multi-site analysis pipeline.

Andrew Ratanatharathorn1, Marco P Boks2, Adam X Maihofer3, Allison E Aiello4, Ananda B Amstadter5, Allison E Ashley-Koch6, Dewleen G Baker3,7,8, Jean C Beckham9,10,11, Evelyn Bromet12, Michelle Dennis9,11, Melanie E Garrett6, Elbert Geuze2,13, Guia Guffanti14,15, Michael A Hauser6, Varun Kilaru16, Nathan A Kimbrel9,10,11, Karestan C Koenen17,18,19, Pei-Fen Kuan20, Mark W Logue21,22, Benjamin J Luft23, Mark W Miller22,24, Colter Mitchell25, Nicole R Nugent26, Kerry J Ressler14,15,27, Bart P F Rutten28, Murray B Stein3,7,29, Eric Vermetten2,30,31,32, Christiaan H Vinkers2, Nagy A Youssef33, Monica Uddin34,35, Caroline M Nievergelt3,7,8, Alicia K Smith16,27.   

Abstract

Compelling evidence suggests that epigenetic mechanisms such as DNA methylation play a role in stress regulation and in the etiologic basis of stress related disorders such as Post traumatic Stress Disorder (PTSD). Here we describe the purpose and methods of an international consortium that was developed to study the role of epigenetics in PTSD. Inspired by the approach used in the Psychiatric Genomics Consortium, we brought together investigators representing seven cohorts with a collective sample size of N = 1147 that included detailed information on trauma exposure, PTSD symptoms, and genome-wide DNA methylation data. The objective of this consortium is to increase the analytical sample size by pooling data and combining expertise so that DNA methylation patterns associated with PTSD can be identified. Several quality control and analytical pipelines were evaluated for their control of genomic inflation and technical artifacts with a joint analysis procedure established to derive comparable data over the cohorts for meta-analysis. We propose methods to deal with ancestry population stratification and type I error inflation and discuss the advantages and disadvantages of applying robust error estimates. To evaluate our pipeline, we report results from an epigenome-wide association study (EWAS) of age, which is a well-characterized phenotype with known epigenetic associations. Overall, while EWAS are highly complex and subject to similar challenges as genome-wide association studies (GWAS), we demonstrate that an epigenetic meta-analysis with a relatively modest sample size can be well-powered to identify epigenetic associations. Our pipeline can be used as a framework for consortium efforts for EWAS.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  EWAS; meta-analysis; stress; trauma

Mesh:

Year:  2017        PMID: 28691784      PMCID: PMC5592721          DOI: 10.1002/ajmg.b.32568

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


  81 in total

1.  Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies.

Authors:  Daniel Falush; Matthew Stephens; Jonathan K Pritchard
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

2.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

Review 3.  Phenotypic plasticity and the epigenetics of human disease.

Authors:  Andrew P Feinberg
Journal:  Nature       Date:  2007-05-24       Impact factor: 49.962

4.  Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication.

Authors:  Ronald C Kessler; Patricia Berglund; Olga Demler; Robert Jin; Kathleen R Merikangas; Ellen E Walters
Journal:  Arch Gen Psychiatry       Date:  2005-06

5.  Anxiety disorders associated with suicidal ideation and suicide attempts in the National Comorbidity Survey.

Authors:  Jitender Sareen; Tanya Houlahan; Brian J Cox; Gordon J G Asmundson
Journal:  J Nerv Ment Dis       Date:  2005-07       Impact factor: 2.254

6.  SKA2 Methylation is Involved in Cortisol Stress Reactivity and Predicts the Development of Post-Traumatic Stress Disorder (PTSD) After Military Deployment.

Authors:  Marco P Boks; Bart P F Rutten; Elbert Geuze; Lotte C Houtepen; Eric Vermetten; Zachary Kaminsky; Christiaan H Vinkers
Journal:  Neuropsychopharmacology       Date:  2015-09-11       Impact factor: 7.853

7.  Accounting for population stratification in DNA methylation studies.

Authors:  Richard T Barfield; Lynn M Almli; Varun Kilaru; Alicia K Smith; Kristina B Mercer; Richard Duncan; Torsten Klengel; Divya Mehta; Elisabeth B Binder; Michael P Epstein; Kerry J Ressler; Karen N Conneely
Journal:  Genet Epidemiol       Date:  2014-01-29       Impact factor: 2.135

8.  Genome-wide methylation profiles reveal quantitative views of human aging rates.

Authors:  Gregory Hannum; Justin Guinney; Ling Zhao; Li Zhang; Guy Hughes; SriniVas Sadda; Brandy Klotzle; Marina Bibikova; Jian-Bing Fan; Yuan Gao; Rob Deconde; Menzies Chen; Indika Rajapakse; Stephen Friend; Trey Ideker; Kang Zhang
Journal:  Mol Cell       Date:  2012-11-21       Impact factor: 17.970

9.  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

10.  Integrative analysis of 111 reference human epigenomes.

Authors:  Anshul Kundaje; Wouter Meuleman; Jason Ernst; Misha Bilenky; Angela Yen; Alireza Heravi-Moussavi; Pouya Kheradpour; Zhizhuo Zhang; Jianrong Wang; Michael J Ziller; Viren Amin; John W Whitaker; Matthew D Schultz; Lucas D Ward; Abhishek Sarkar; Gerald Quon; Richard S Sandstrom; Matthew L Eaton; Yi-Chieh Wu; Andreas R Pfenning; Xinchen Wang; Melina Claussnitzer; Yaping Liu; Cristian Coarfa; R Alan Harris; Noam Shoresh; Charles B Epstein; Elizabeta Gjoneska; Danny Leung; Wei Xie; R David Hawkins; Ryan Lister; Chibo Hong; Philippe Gascard; Andrew J Mungall; Richard Moore; Eric Chuah; Angela Tam; Theresa K Canfield; R Scott Hansen; Rajinder Kaul; Peter J Sabo; Mukul S Bansal; Annaick Carles; Jesse R Dixon; Kai-How Farh; Soheil Feizi; Rosa Karlic; Ah-Ram Kim; Ashwinikumar Kulkarni; Daofeng Li; Rebecca Lowdon; GiNell Elliott; Tim R Mercer; Shane J Neph; Vitor Onuchic; Paz Polak; Nisha Rajagopal; Pradipta Ray; Richard C Sallari; Kyle T Siebenthall; Nicholas A Sinnott-Armstrong; Michael Stevens; Robert E Thurman; Jie Wu; Bo Zhang; Xin Zhou; Arthur E Beaudet; Laurie A Boyer; Philip L De Jager; Peggy J Farnham; Susan J Fisher; David Haussler; Steven J M Jones; Wei Li; Marco A Marra; Michael T McManus; Shamil Sunyaev; James A Thomson; Thea D Tlsty; Li-Huei Tsai; Wei Wang; Robert A Waterland; Michael Q Zhang; Lisa H Chadwick; Bradley E Bernstein; Joseph F Costello; Joseph R Ecker; Martin Hirst; Alexander Meissner; Aleksandar Milosavljevic; Bing Ren; John A Stamatoyannopoulos; Ting Wang; Manolis Kellis
Journal:  Nature       Date:  2015-02-19       Impact factor: 69.504

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  40 in total

Review 1.  DNA methylation correlates of PTSD: Recent findings and technical challenges.

Authors:  Filomene G Morrison; Mark W Miller; Mark W Logue; Michele Assef; Erika J Wolf
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2018-11-30       Impact factor: 5.067

2.  Methylomic profiles reveal sex-specific differences in leukocyte composition associated with post-traumatic stress disorder.

Authors:  Grace S Kim; Alicia K Smith; Fei Xue; Vasiliki Michopoulos; Adriana Lori; Don L Armstrong; Allison E Aiello; Karestan C Koenen; Sandro Galea; Derek E Wildman; Monica Uddin
Journal:  Brain Behav Immun       Date:  2019-06-19       Impact factor: 7.217

Review 3.  Recent Genetics and Epigenetics Approaches to PTSD.

Authors:  Nikolaos P Daskalakis; Chuda M Rijal; Christopher King; Laura M Huckins; Kerry J Ressler
Journal:  Curr Psychiatry Rep       Date:  2018-04-05       Impact factor: 5.285

4.  Correction for multiple testing in candidate-gene methylation studies.

Authors:  Zhenwei Zhou; Kathryn L Lunetta; Alicia K Smith; Erika J Wolf; Annjanette Stone; Steven A Schichman; Regina E McGlinchey; William P Milberg; Mark W Miller; Mark W Logue
Journal:  Epigenomics       Date:  2019-06-26       Impact factor: 4.778

Review 5.  Accelerating research on biological aging and mental health: Current challenges and future directions.

Authors:  Laura K M Han; Josine E Verhoeven; Audrey R Tyrka; Brenda W J H Penninx; Owen M Wolkowitz; Kristoffer N T Månsson; Daniel Lindqvist; Marco P Boks; Dóra Révész; Synthia H Mellon; Martin Picard
Journal:  Psychoneuroendocrinology       Date:  2019-04-05       Impact factor: 4.905

Review 6.  Translating Molecular and Neuroendocrine Findings in Posttraumatic Stress Disorder and Resilience to Novel Therapies.

Authors:  Jonathan DePierro; Lauren Lepow; Adriana Feder; Rachel Yehuda
Journal:  Biol Psychiatry       Date:  2019-07-24       Impact factor: 13.382

Review 7.  Optimizing the chances of success in the search for epigenetic biomarkers: Embracing genetic variation.

Authors:  Robert Philibert; Stephen J Glatt
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2017-07-11       Impact factor: 3.568

Review 8.  Genomic Approaches to Posttraumatic Stress Disorder: The Psychiatric Genomic Consortium Initiative.

Authors:  Caroline M Nievergelt; Allison E Ashley-Koch; Shareefa Dalvie; Michael A Hauser; Rajendra A Morey; Alicia K Smith; Monica Uddin
Journal:  Biol Psychiatry       Date:  2018-02-02       Impact factor: 13.382

9.  Epigenetic meta-analysis across three civilian cohorts identifies NRG1 and HGS as blood-based biomarkers for post-traumatic stress disorder.

Authors:  Monica Uddin; Andrew Ratanatharathorn; Don Armstrong; Pei-Fen Kuan; Allison E Aiello; Evelyn J Bromet; Sandro Galea; Karestan C Koenen; Benjamin Luft; Kerry J Ressler; Derek E Wildman; Caroline M Nievergelt; Alicia Smith
Journal:  Epigenomics       Date:  2018-11-20       Impact factor: 4.778

Review 10.  Traumatic Stress and Accelerated Cellular Aging: From Epigenetics to Cardiometabolic Disease.

Authors:  Erika J Wolf; Filomene G Morrison
Journal:  Curr Psychiatry Rep       Date:  2017-08-29       Impact factor: 5.285

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