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Authors: Johanna Lepeule, Andrea Baccarelli, Letizia Tarantini, Valeria Motta, Laura Cantone, Augusto A. Litonjua, David Sparrow, Pantel S. Vokonas and Joel Schwartz

Johanna Lepeule

Corresponding author: jlepeule@hsph.harvard.edu
Exposure, Epidemiology and Risk Program; Department of Environmental Health; Harvard School of Public Health; Boston, MA USA

Andrea Baccarelli

Exposure, Epidemiology and Risk Program; Department of Environmental Health; Harvard School of Public Health; Boston, MA USA

Letizia Tarantini

Center of Molecular and Genetic Epidemiology; Department of Environmental and Occupational Health; Ca’ Granda Ospedale Maggiore Policlinico IRCCS Foundation; Università degli Studi di Milano; Milan, Italy

Valeria Motta

Exposure, Epidemiology and Risk Program; Department of Environmental Health; Harvard School of Public Health; Boston, MA USA; Center of Molecular and Genetic Epidemiology; Department of Environmental and Occupational Health; Ca’ Granda Ospedale Maggiore Policlinico IRCCS Foundation; Università degli Studi di Milano; Milan, Italy

Laura Cantone

Center of Molecular and Genetic Epidemiology; Department of Environmental and Occupational Health; Ca’ Granda Ospedale Maggiore Policlinico IRCCS Foundation; Università degli Studi di Milano; Milan, Italy

Augusto A. Litonjua

Channing Laboratory; Brigham and Women’s Hospital; Harvard Medical School; Boston, MA USA; Division of Pulmonary and Critical Care Medicine; Brigham and Women’s Hospital; Harvard Medical School; Boston, MA USA

David Sparrow

VA Normative Aging Study; Veterans Affairs Boston Healthcare System and the Department of Medicine; Boston University School of Medicine; Boston, MA USA

Pantel S. Vokonas

VA Normative Aging Study; Veterans Affairs Boston Healthcare System and the Department of Medicine; Boston University School of Medicine; Boston, MA USA

Joel Schwartz

Exposure, Epidemiology and Risk Program; Department of Environmental Health; Harvard School of Public Health; Boston, MA USA; Channing Laboratory; Brigham and Women’s Hospital; Harvard Medical School; Boston, MA USA

Abstract:
It has come to the attention of the authors that Table 5 was not included in Epigenetics Volume 7, Issue 3 in the manuscript: Lepeule J, Baccarelli A, Tarantini L, Motta V, Cantone L, Litonjua AA, et al. Gene promoter methylation is associated with lung function in the elderly: The normative aging study. Epigenetics 2012; 7:261-9.

The citation for Table 5 should have appeared on p. 264, “Sensitivity analyses. The sensitivity analyses including par­ticipants with chronic lung diseases showed similar associations between lung function and DNA methylation as the main analy­ses, with only slight variations in significance (Table 5).”

Erratum to:
J Lepeule, A Baccarelli, L Tarantini, V Motta, L Cantone, AA Litonjua, et al. Gene promoter methylation is associated with lung function in the elderly: The normative aging study. Epigenetics 2012; 7: 261-9
PMID: 22430802

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It has come to the attention of the authors that Table 5 was not included in Epigenetics Volume 7, Issue 3 in the manuscript: Lepeule J, Baccarelli A, Tarantini L, Motta V, Cantone L, Litonjua AA, et al. Gene promoter methylation is associated with lung function in the elderly: The normative aging study. Epigenetics 2012; 7:261-9.

Table 5 for this manuscript is published here:

The citation for Table 5 should have appeared on p. 264, “Sensitivity analyses. The sensitivity analyses including par-ticipants with chronic lung diseases showed similar associations between lung function and DNA methylation as the main analy-ses, with only slight variations in significance (Table 5).”

Table 5.

Gene	n obs./n subjects	FVC		FEV1		FEV1/FVC†		MMEF
		%	p value	%	p value	%	p value	%	p value
CRAT	949/599	-1.70	0.02	-2.28	<10-2	-0.43	0.09	-1.74	0.24
F3	895/583	-2.61	<10-4	-2.02	<10-2	0.39	0.07	1.35	0.28
GCR	853/550	-1.00	0.08	-1.07	0.09	-0.05	0.82	-0.72	0.54
ICAM	772/522	0.63	0.35	1.57	0.05	0.65	0.01	4.56	<10-2
IFNg	983/611	1.01	0.14	1.37	0.07	0.28	0.25	3.05	0.03
IL6	992/607	1.51	0.03	2.26	<10-2	0.49	0.05	3.42	0.02
iNOS	648/456	-1.63	0.06	-1.75	0.07	-0.07	0.83	-0.41	0.83
OGG1	629/450	-1.03	0.13	-1.17	0.14	-0.04	0.88	-0.08	0.96
TLR2	828/538	-2.03	<10-3	-2.31	<10-3	-0.22	0.32	-3.47	<10-2

*

Results were adjusted for age (continuous), race (white/black), log (height), standardized weight (linear and quadratic term), % neutrophils, % leucocytes, education level (<12, 12, 13-15, >15 y), smoking status (former/current/never), cumulative smoking (continuous), season of the medical exam (indicator variable), day of the week, corticosteroids (Y/N), sympathomimetic alpha and beta (Y/N), anticholinergics (Y/N), methacholine challenge test (Y/N), asthma (Y/N), chronic bronchitis (Y/N), emphysema (Y/N). ^†Absolute change in FEV1/FVC.

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This is an Open Access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced and reused for non-commercial purposes, provided the original source is properly cited.

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