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Gaseous air pollutants and DNA methylation in a methylome-wide association study of an ethnically and environmentally diverse population of U.S. adults.

TitleGaseous air pollutants and DNA methylation in a methylome-wide association study of an ethnically and environmentally diverse population of U.S. adults.
Publication TypeJournal Article
Year of Publication2022
AuthorsHolliday KM, Gondalia R, Baldassari A, Justice AE, Stewart JD, Liao D, Yanosky JD, Jordahl KM, Bhatti P, Assimes TL, Pankow JS, Guan W, Fornage M, Bressler J, North KE, Conneely KN, Li Y, Hou L, Vokonas PS, Ward-Caviness CK, Wilson R, Wolf K, Waldenberger M, Cyrys J, Peters A, H Boezen M, Vonk JM, Sayols-Baixeras S, Lee M, Baccarelli AA, Whitsel EA
JournalEnviron Res
Volume212
IssuePt C
Pagination113360
Date Published2022 09
ISSN1096-0953
KeywordsAdult, Air Pollutants, Air Pollution, DNA Methylation, Epigenome, Female, Humans, Male, Middle Aged, Nitrogen Dioxide, Ozone, Particulate Matter
Abstract

Epigenetic mechanisms may underlie air pollution-health outcome associations. We estimated gaseous air pollutant-DNA methylation (DNAm) associations using twelve subpopulations within Women's Health Initiative (WHI) and Atherosclerosis Risk in Communities (ARIC) cohorts (n = 8397; mean age 61.3 years; 83% female; 46% African-American, 46% European-American, 8% Hispanic/Latino). We used geocoded participant address-specific mean ambient carbon monoxide (CO), nitrogen oxides (NO; NOx), ozone (O), and sulfur dioxide (SO) concentrations estimated over the 2-, 7-, 28-, and 365-day periods before collection of blood samples used to generate Illumina 450 k array leukocyte DNAm measurements. We estimated methylome-wide, subpopulation- and race/ethnicity-stratified pollutant-DNAm associations in multi-level, linear mixed-effects models adjusted for sociodemographic, behavioral, meteorological, and technical covariates. We combined stratum-specific estimates in inverse variance-weighted meta-analyses and characterized significant associations (false discovery rate; FDR 0.05). We attempted replication in the Cooperative Health Research in Region of Augsburg (KORA) study and Normative Aging Study (NAS). We observed a -0.3 (95% CI: -0.4, -0.2) unit decrease in percent DNAm per interquartile range (IQR, 7.3 ppb) increase in 28-day mean NO concentration at cg01885635 (chromosome 3; regulatory region 290 bp upstream from ZNF621; FDR = 0.03). At intragenic sites cg21849932 (chromosome 20; LIME1; intron 3) and cg05353869 (chromosome 11; KLHL35; exon 2), we observed a -0.3 (95% CI: -0.4, -0.2) unit decrease (FDR = 0.04) and a 1.2 (95% CI: 0.7, 1.7) unit increase (FDR = 0.04), respectively, in percent DNAm per IQR (17.6 ppb) increase in 7-day mean ozone concentration. Results were not fully replicated in KORA and NAS. We identified three CpG sites potentially susceptible to gaseous air pollution-induced DNAm changes near genes relevant for cardiovascular and lung disease. Further harmonized investigations with a range of gaseous pollutants and averaging durations are needed to determine the effect of gaseous air pollutants on DNA methylation and ultimately gene expression.

DOI10.1016/j.envres.2022.113360
Alternate JournalEnviron Res
PubMed ID35500859
PubMed Central IDPMC9354583
Grant ListRC2 HL102419 / HL / NHLBI NIH HHS / United States
R01 ES020836 / ES / NIEHS NIH HHS / United States
HHSN268201100004I / HL / NHLBI NIH HHS / United States
HHSN268201100046C / HL / NHLBI NIH HHS / United States
R25 CA094880 / CA / NCI NIH HHS / United States
HHSN268201100003C / WH / WHI NIH HHS / United States
75N92021D00001 / HL / NHLBI NIH HHS / United States
HHSN268201700002C / HL / NHLBI NIH HHS / United States
HHSN268201700001I / HL / NHLBI NIH HHS / United States
75N92021D00003 / WH / WHI NIH HHS / United States
HHSN268201100002C / WH / WHI NIH HHS / United States
R01 ES027747 / ES / NIEHS NIH HHS / United States
HHSN268201100004C / WH / WHI NIH HHS / United States
P30 ES009089 / ES / NIEHS NIH HHS / United States
HHSN268201100001I / HL / NHLBI NIH HHS / United States
75N92021D00002 / HL / NHLBI NIH HHS / United States
R01 ES015172 / ES / NIEHS NIH HHS / United States
75N92021D00005 / WH / WHI NIH HHS / United States
R01 ES025225 / ES / NIEHS NIH HHS / United States
T32 ES007018 / ES / NIEHS NIH HHS / United States
R01 ES017794 / ES / NIEHS NIH HHS / United States
P30 ES000002 / ES / NIEHS NIH HHS / United States
R01 NS087541 / NS / NINDS NIH HHS / United States
R01 ES021733 / ES / NIEHS NIH HHS / United States
HHSN271201100004C / AG / NIA NIH HHS / United States
HHSN268201700004I / HL / NHLBI NIH HHS / United States
HHSN268201700005C / HL / NHLBI NIH HHS / United States
HHSN268201700001C / HL / NHLBI NIH HHS / United States
HHSN268201700003C / HL / NHLBI NIH HHS / United States
HHSN268201700004C / HL / NHLBI NIH HHS / United States
HHSN268201100003I / HL / NHLBI NIH HHS / United States
HHSN268201100002I / HL / NHLBI NIH HHS / United States
HHSN268201300006C / HL / NHLBI NIH HHS / United States
HHSN268201700002I / HL / NHLBI NIH HHS / United States
HHSN268201700005I / HL / NHLBI NIH HHS / United States
K12 HD043446 / HD / NICHD NIH HHS / United States
T32 HL007055 / HL / NHLBI NIH HHS / United States
HHSN268201700003I / HL / NHLBI NIH HHS / United States
R01 HG010297 / HG / NHGRI NIH HHS / United States
75N92021D00004 / WH / WHI NIH HHS / United States
HHSN268201100001C / WH / WHI NIH HHS / United States