Literature DB >> 31995399

DNA Methylation Is Predictive of Mortality in Current and Former Smokers.

Jarrett D Morrow1, Barry Make2, Elizabeth Regan2, MeiLan Han3, Craig P Hersh1,4, Ruth Tal-Singer5, John Quackenbush6, Augustine M K Choi7, Edwin K Silverman1,4, Dawn L DeMeo1,4.   

Abstract

Rationale: Smoking results in at least a decade lower life expectancy. Mortality among current smokers is two to three times as high as never smokers. DNA methylation is an epigenetic modification of the human genome that has been associated with both cigarette smoking and mortality.
Objectives: We sought to identify DNA methylation marks in blood that are predictive of mortality in a subset of the COPDGene (Genetic Epidemiology of COPD) study, representing 101 deaths among 667 current and former smokers.
Methods: We assayed genome-wide DNA methylation in non-Hispanic white smokers with and without chronic obstructive pulmonary disease (COPD) using blood samples from the COPDGene enrollment visit. We tested whether DNA methylation was associated with mortality in models adjusted for COPD status, age, sex, current smoking status, and pack-years of cigarette smoking. Replication was performed in a subset of 231 individuals from the ECLIPSE (Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints) study.Measurements and Main
Results: We identified seven CpG sites associated with mortality (false discovery rate < 20%) that replicated in the ECLIPSE cohort (P < 0.05). None of these marks were associated with longitudinal lung function decline in survivors, smoking history, or current smoking status. However, differential methylation of two replicated PIK3CD (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit delta) sites were associated with lung function at enrollment (P < 0.05). We also observed associations between DNA methylation and gene expression for the PIK3CD sites.Conclusions: This study is the first to identify variable DNA methylation associated with all-cause mortality in smokers with and without COPD. Evaluating predictive epigenomic marks of smokers in peripheral blood may allow for targeted risk stratification and aid in delivery of future tailored therapeutic interventions.

Entities:  

Keywords:  DNA methylation; all-cause mortality; chronic obstructive pulmonary disease; epigenetics; survival analysis

Mesh:

Substances:

Year:  2020        PMID: 31995399      PMCID: PMC7193844          DOI: 10.1164/rccm.201902-0439OC

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


  45 in total

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Authors:  Nicolas Mercado; Kazuhiro Ito; Peter J Barnes
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2.  DNA methylation profiling in human lung tissue identifies genes associated with COPD.

Authors:  Jarrett D Morrow; Michael H Cho; Craig P Hersh; Victor Pinto-Plata; Bartolome Celli; Nathaniel Marchetti; Gerard Criner; Raphael Bueno; George Washko; Kimberly Glass; Augustine M K Choi; John Quackenbush; Edwin K Silverman; Dawn L DeMeo
Journal:  Epigenetics       Date:  2016-11-01       Impact factor: 4.528

Review 3.  Mortality in COPD: Role of comorbidities.

Authors:  D D Sin; N R Anthonisen; J B Soriano; A G Agusti
Journal:  Eur Respir J       Date:  2006-12       Impact factor: 16.671

4.  Cigarette smoking behaviors and time since quitting are associated with differential DNA methylation across the human genome.

Authors:  Emily S Wan; Weiliang Qiu; Andrea Baccarelli; Vincent J Carey; Helene Bacherman; Stephen I Rennard; Alvar Agusti; Wayne Anderson; David A Lomas; Dawn L Demeo
Journal:  Hum Mol Genet       Date:  2012-04-06       Impact factor: 6.150

Review 5.  A Decade of GWAS Results in Lung Cancer.

Authors:  Yohan Bossé; Christopher I Amos
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-06-14       Impact factor: 4.254

6.  Gene Promoter Hypermethylation Detected in Sputum Predicts FEV1 Decline and All-Cause Mortality in Smokers.

Authors:  Shuguang Leng; Brenda Diergaarde; Maria A Picchi; David O Wilson; Frank D Gilliland; Jian-Min Yuan; Jill M Siegfried; Steven A Belinsky
Journal:  Am J Respir Crit Care Med       Date:  2018-07-15       Impact factor: 30.528

7.  An analysis of DNA methylation in human adipose tissue reveals differential modification of obesity genes before and after gastric bypass and weight loss.

Authors:  Miles C Benton; Alice Johnstone; David Eccles; Brennan Harmon; Mark T Hayes; Rod A Lea; Lyn Griffiths; Eric P Hoffman; Richard S Stubbs; Donia Macartney-Coxson
Journal:  Genome Biol       Date:  2015-01-22       Impact factor: 13.583

8.  Lung function discordance in monozygotic twins and associated differences in blood DNA methylation.

Authors:  Anneli C S Bolund; Anna Starnawska; Martin R Miller; Vivi Schlünssen; Vibeke Backer; Anders D Børglum; Kaare Christensen; Qihua Tan; Lene Christiansen; Torben Sigsgaard
Journal:  Clin Epigenetics       Date:  2017-12-21       Impact factor: 6.551

9.  Novel age-associated DNA methylation changes and epigenetic age acceleration in middle-aged African Americans and whites.

Authors:  Salman M Tajuddin; Dena G Hernandez; Brian H Chen; Nicole Noren Hooten; Nicolle A Mode; Mike A Nalls; Andrew B Singleton; Ngozi Ejiogu; Kumaraswamy Naidu Chitrala; Alan B Zonderman; Michele K Evans
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10.  Characterizing the genetic basis of methylome diversity in histologically normal human lung tissue.

Authors:  Jianxin Shi; Crystal N Marconett; Jubao Duan; Paula L Hyland; Peng Li; Zhaoming Wang; William Wheeler; Beiyun Zhou; Mihaela Campan; Diane S Lee; Jing Huang; Weiyin Zhou; Tim Triche; Laufey Amundadottir; Andrew Warner; Amy Hutchinson; Po-Han Chen; Brian S I Chung; Angela C Pesatori; Dario Consonni; Pier Alberto Bertazzi; Andrew W Bergen; Mathew Freedman; Kimberly D Siegmund; Benjamin P Berman; Zea Borok; Nilanjan Chatterjee; Margaret A Tucker; Neil E Caporaso; Stephen J Chanock; Ite A Laird-Offringa; Maria Teresa Landi
Journal:  Nat Commun       Date:  2014-02-27       Impact factor: 14.919

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2.  "PIK"ing Out New Epigenetic Markers in Lung Disease.

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4.  Chronological Age Prediction: Developmental Evaluation of DNA Methylation-Based Machine Learning Models.

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5.  Sex-specific associations with DNA methylation in lung tissue demonstrate smoking interactions.

Authors:  Hyeon-Kyoung Koo; Jarrett Morrow; Priyadarshini Kachroo; Kelan Tantisira; Scott T Weiss; Craig P Hersh; Edwin K Silverman; Dawn L DeMeo
Journal:  Epigenetics       Date:  2020-09-22       Impact factor: 4.528

Review 6.  Multi-Omics Approaches in Immunological Research.

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