Predicting risk of lung function impairment and all-cause mortality using a DNA methylation-based classifier of tobacco smoke exposure

被引:3
作者
Eckhardt, Christina M. [1 ]
Wu, Haotian [2 ]
Prada, Diddier [2 ,3 ]
Vokonas, Pantel S. [4 ,5 ]
Sparrow, David [4 ,5 ]
Hou, Lifang [6 ]
Schwartz, Joel [7 ]
Baccarelli, Andrea A. [2 ]
机构
[1] Columbia Univ Irving Med Ctr, Div Pulm Allergy & Crit Care Med, Dept Med, New York, NY 10032 USA
[2] Columbia Univ Mailman Sch Publ Hlth, Dept Environm Hlth Sci, New York, NY USA
[3] Inst Nacl Cancerol, Mexico City, DF, Mexico
[4] Boston Univ, Sch Med, VA Normat Aging Study, VA, Boston, MA 02118 USA
[5] Healthcare Syst & Dept Med, Boston, MA USA
[6] Northwestern Feinberg Sch Med, Dept Prevent Med, Chicago, IL USA
[7] Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Cambridge, MA USA
关键词
Smoking; DNA Methylation; Lung function; All-cause mortality; SELF-REPORTED SMOKING; HYPOMETHYLATION; DEMETHYLATION; PREVALENCE; ACCURACY; COTININE; COPD;
D O I
10.1016/j.rmed.2022.106896
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: The Epigenetic Smoking Status Estimator (EpiSmokEr) predicts smoking phenotypes based on DNA methylation at 121 CpG sites. Objective: Evaluate associations of EpiSmokEr-predicted versus self-reported smoking phenotypes with lung function and all-cause mortality in a cohort of older adults. Methods: The prospective Normative Aging Study collected DNA methylation measurements from 1999 to 2012 with follow-up through 2016. The R package EpiSmokEr derived predicted smoking phenotypes based on DNA methylation levels assayed by the Illumina HumanMethylation450 Beadchip. Spirometry was collected every 3-5 years. Airflow limitation was defined as forced expiratory volume in 1 s/forced vital capacity <0.7. Vital status was monitored through periodic mailings. Results: Among 784 participants contributing 5414 person-years of follow-up, the EpiSmokEr-predicted smoking phenotypes matched the self-reported phenotypes for 228 (97%) never smokers and 22 (71%) current smokers. In contrast, EpiSmokEr classified 407 (79%) self-reported former smokers as never smokers. Nonetheless, the EpiSmokEr-predicted former smoking phenotype was more strongly associated with incident airflow limitation (hazard ratio [HR] = 3.15, 95% confidence interval [CI] = 1.50-6.59) and mortality (HR = 2.11, 95% CI = 1.56-2.85) compared to the self-reported former smoking phenotype (airflow limitation: HR = 2.21, 95% CI = 1.13-4.33; mortality: HR = 1.08, 95% CI = 0.86-1.36). Risk of airflow limitation and death did not differ among self-reported never smokers and former smokers who were classified as never smokers. The discriminative accuracy of EpiSmokEr-predicted phenotypes for incident airflow limitation and mortality was improved compared to self-reported phenotypes. Conclusions: The DNA methylation-based EpiSmokEr classifier may be a useful surrogate of smoking-induced lung damage and may identify former smokers most at risk of adverse smoking-related health effects.
引用
收藏
页数:9
相关论文
共 63 条
[1]   An Examination of Risk Factors for Tobacco and Cannabis Smoke Exposure in Adolescents Using an Epigenetic Biomarker [J].
Andersen, Allan ;
Gerrard, Meg ;
Gibbons, Frederick X. ;
Beach, Steven R. H. ;
Philibert, Robert .
FRONTIERS IN PSYCHIATRY, 2021, 12
[3]   Tobacco smoking and all-cause mortality in a large Australian cohort study: findings from a mature epidemic with current low smoking prevalence [J].
Banks, Emily ;
Joshy, Grace ;
Weber, Marianne F. ;
Liu, Bette ;
Grenfell, Robert ;
Egger, Sam ;
Paige, Ellie ;
Lopez, Alan D. ;
Sitas, Freddy ;
Beral, Valerie .
BMC MEDICINE, 2015, 13
[4]   NORMATIVE AGING STUDY - INTERDISCIPLINARY AND LONGITUDINAL STUDY OF HEALTH AND AGING [J].
BELL, B ;
ROSE, CL ;
DAMON, A .
AGING AND HUMAN DEVELOPMENT, 1972, 3 (01) :5-17
[5]   Discriminative Accuracy of FEV1: FVC Thresholds for COPD-Related Hospitalization and Mortality [J].
Bhatt, Surya P. ;
Balte, Pallavi P. ;
Schwartz, Joseph E. ;
Cassano, Patricia A. ;
Couper, David ;
Jacobs, David R., Jr. ;
Kalhan, Ravi ;
O'Connor, George T. ;
Yende, Sachin ;
Sanders, Jason L. ;
Umans, Jason G. ;
Dransfield, Mark T. ;
Chaves, Paulo H. ;
White, Wendy B. ;
Oelsner, Elizabeth C. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2019, 321 (24) :2438-2447
[6]   AHRR (cg05575921) hypomethylation marks smoking behaviour, morbidity and mortality [J].
Bojesen, Stig E. ;
Timpson, Nicholas ;
Relton, Caroline ;
Smith, George Davey ;
Nordestgaard, Borge G. .
THORAX, 2017, 72 (07) :646-653
[7]   EpiSmokEr: a robust classifier to determine smoking status from DNA methylation data [J].
Bollepalli, Sailalitha ;
Korhonen, Tellervo ;
Kaprio, Jaakko ;
Anders, Simon ;
Ollikainen, Miina .
EPIGENOMICS, 2019, 11 (13) :1469-1486
[8]   SIMPLE TEST FOR HETEROSCEDASTICITY AND RANDOM COEFFICIENT VARIATION [J].
BREUSCH, TS ;
PAGAN, AR .
ECONOMETRICA, 1979, 47 (05) :1287-1294
[9]  
C.F.D.C.A.P. (US), 2010, TOB SMOK CAUS DIS BI
[10]   Metastable DNA methylation sites associated with longitudinal lung function decline and aging in humans: an epigenome-wide study in the NAS and KORA cohorts [J].
Carmona, Juan Jose ;
Barfield, Richard T. ;
Panni, Tommaso ;
Nwanaji-Enwerem, Jamaji C. ;
Just, Allan C. ;
Hutchinson, John N. ;
Colicino, Elena ;
Karrasch, Stefan ;
Wahl, Simone ;
Kunze, Sonja ;
Jafari, Nadereh ;
Zheng, Yinan ;
Hou, Lifang ;
DeMeo, Dawn L. ;
Litonjua, Augusto A. ;
Vokonas, Pantel S. ;
Peters, Annette ;
Lin, Xihong ;
Schwartz, Joel ;
Schulz, Holger ;
Baccarelli, Andrea A. .
EPIGENETICS, 2018, 13 (10-11) :1039-1055