The dynamics of smoking-related disturbed methylation: a two time-point study of methylation change in smokers, non-smokers and former smokers
Background The evidence for epigenome-wide associations between smoking and DNA methylation continues to grow through cross-sectional studies. However, few large-scale investigations have explored the associations using observations for individuals at multiple time-points. Here, through the use of t...
Saved in:
| Published in: | BMC genomics Vol. 18; no. 1; pp. 805 - 15 |
|---|---|
| Main Authors: | , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
BioMed Central
18.10.2017
BioMed Central Ltd Springer Nature B.V BMC |
| Subjects: | |
| ISSN: | 1471-2164, 1471-2164 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | Background
The evidence for epigenome-wide associations between smoking and DNA methylation continues to grow through cross-sectional studies. However, few large-scale investigations have explored the associations using observations for individuals at multiple time-points. Here, through the use of the Illumina 450K BeadChip and data collected at two time-points separated by approximately 7 years, we investigate changes in methylation over time associated with quitting smoking or remaining a former smoker, and those associated with continued smoking.
Results
Our results indicate that after quitting smoking the most rapid reversion of altered methylation occurs within the first two decades, with reversion rates related to the initial differences in methylation. For 52 CpG sites, the change in methylation from baseline to follow-up is significantly different for former smokers relative to the change for never smokers (lowest
p
-value 3.61 x 10
-39
for cg26703534, gene
AHRR
). Most of these sites’ respective regions have been previously implicated in smoking-associated diseases. Despite the early rapid change, dynamism of methylation appears greater in former smokers vs never smokers even four decades after cessation. Furthermore, our study reveals the heterogeneous effect of continued smoking: the methylation levels of some loci further diverge between smokers and non-smokers, while others re-approach. Though intensity of smoking habit appears more significant than duration, results remain inconclusive.
Conclusions
This study improves the understanding of the dynamic link between cigarette smoking and methylation, revealing the continued fluctuation of methylation levels decades after smoking cessation and demonstrating that continuing smoking can have an array of effects. The results can facilitate insights into the molecular mechanisms behind smoking-induced disturbed methylation, improving the possibility for development of biomarkers of past smoking behavior and increasing the understanding of the molecular path from exposure to disease. |
|---|---|
| AbstractList | Background The evidence for epigenome-wide associations between smoking and DNA methylation continues to grow through cross-sectional studies. However, few large-scale investigations have explored the associations using observations for individuals at multiple time-points. Here, through the use of the Illumina 450K BeadChip and data collected at two time-points separated by approximately 7 years, we investigate changes in methylation over time associated with quitting smoking or remaining a former smoker, and those associated with continued smoking. Results Our results indicate that after quitting smoking the most rapid reversion of altered methylation occurs within the first two decades, with reversion rates related to the initial differences in methylation. For 52 CpG sites, the change in methylation from baseline to follow-up is significantly different for former smokers relative to the change for never smokers (lowest p-value 3.61 x 10-39 for cg26703534, gene AHRR). Most of these sites’ respective regions have been previously implicated in smoking-associated diseases. Despite the early rapid change, dynamism of methylation appears greater in former smokers vs never smokers even four decades after cessation. Furthermore, our study reveals the heterogeneous effect of continued smoking: the methylation levels of some loci further diverge between smokers and non-smokers, while others re-approach. Though intensity of smoking habit appears more significant than duration, results remain inconclusive. Conclusions This study improves the understanding of the dynamic link between cigarette smoking and methylation, revealing the continued fluctuation of methylation levels decades after smoking cessation and demonstrating that continuing smoking can have an array of effects. The results can facilitate insights into the molecular mechanisms behind smoking-induced disturbed methylation, improving the possibility for development of biomarkers of past smoking behavior and increasing the understanding of the molecular path from exposure to disease. Background The evidence for epigenome-wide associations between smoking and DNA methylation continues to grow through cross-sectional studies. However, few large-scale investigations have explored the associations using observations for individuals at multiple time-points. Here, through the use of the Illumina 450K BeadChip and data collected at two time-points separated by approximately 7 years, we investigate changes in methylation over time associated with quitting smoking or remaining a former smoker, and those associated with continued smoking. Results Our results indicate that after quitting smoking the most rapid reversion of altered methylation occurs within the first two decades, with reversion rates related to the initial differences in methylation. For 52 CpG sites, the change in methylation from baseline to follow-up is significantly different for former smokers relative to the change for never smokers (lowest p -value 3.61 x 10 -39 for cg26703534, gene AHRR ). Most of these sites’ respective regions have been previously implicated in smoking-associated diseases. Despite the early rapid change, dynamism of methylation appears greater in former smokers vs never smokers even four decades after cessation. Furthermore, our study reveals the heterogeneous effect of continued smoking: the methylation levels of some loci further diverge between smokers and non-smokers, while others re-approach. Though intensity of smoking habit appears more significant than duration, results remain inconclusive. Conclusions This study improves the understanding of the dynamic link between cigarette smoking and methylation, revealing the continued fluctuation of methylation levels decades after smoking cessation and demonstrating that continuing smoking can have an array of effects. The results can facilitate insights into the molecular mechanisms behind smoking-induced disturbed methylation, improving the possibility for development of biomarkers of past smoking behavior and increasing the understanding of the molecular path from exposure to disease. Abstract Background The evidence for epigenome-wide associations between smoking and DNA methylation continues to grow through cross-sectional studies. However, few large-scale investigations have explored the associations using observations for individuals at multiple time-points. Here, through the use of the Illumina 450K BeadChip and data collected at two time-points separated by approximately 7 years, we investigate changes in methylation over time associated with quitting smoking or remaining a former smoker, and those associated with continued smoking. Results Our results indicate that after quitting smoking the most rapid reversion of altered methylation occurs within the first two decades, with reversion rates related to the initial differences in methylation. For 52 CpG sites, the change in methylation from baseline to follow-up is significantly different for former smokers relative to the change for never smokers (lowest p-value 3.61 x 10-39 for cg26703534, gene AHRR). Most of these sites’ respective regions have been previously implicated in smoking-associated diseases. Despite the early rapid change, dynamism of methylation appears greater in former smokers vs never smokers even four decades after cessation. Furthermore, our study reveals the heterogeneous effect of continued smoking: the methylation levels of some loci further diverge between smokers and non-smokers, while others re-approach. Though intensity of smoking habit appears more significant than duration, results remain inconclusive. Conclusions This study improves the understanding of the dynamic link between cigarette smoking and methylation, revealing the continued fluctuation of methylation levels decades after smoking cessation and demonstrating that continuing smoking can have an array of effects. The results can facilitate insights into the molecular mechanisms behind smoking-induced disturbed methylation, improving the possibility for development of biomarkers of past smoking behavior and increasing the understanding of the molecular path from exposure to disease. The evidence for epigenome-wide associations between smoking and DNA methylation continues to grow through cross-sectional studies. However, few large-scale investigations have explored the associations using observations for individuals at multiple time-points. Here, through the use of the Illumina 450K BeadChip and data collected at two time-points separated by approximately 7 years, we investigate changes in methylation over time associated with quitting smoking or remaining a former smoker, and those associated with continued smoking.BACKGROUNDThe evidence for epigenome-wide associations between smoking and DNA methylation continues to grow through cross-sectional studies. However, few large-scale investigations have explored the associations using observations for individuals at multiple time-points. Here, through the use of the Illumina 450K BeadChip and data collected at two time-points separated by approximately 7 years, we investigate changes in methylation over time associated with quitting smoking or remaining a former smoker, and those associated with continued smoking.Our results indicate that after quitting smoking the most rapid reversion of altered methylation occurs within the first two decades, with reversion rates related to the initial differences in methylation. For 52 CpG sites, the change in methylation from baseline to follow-up is significantly different for former smokers relative to the change for never smokers (lowest p-value 3.61 x 10-39 for cg26703534, gene AHRR). Most of these sites' respective regions have been previously implicated in smoking-associated diseases. Despite the early rapid change, dynamism of methylation appears greater in former smokers vs never smokers even four decades after cessation. Furthermore, our study reveals the heterogeneous effect of continued smoking: the methylation levels of some loci further diverge between smokers and non-smokers, while others re-approach. Though intensity of smoking habit appears more significant than duration, results remain inconclusive.RESULTSOur results indicate that after quitting smoking the most rapid reversion of altered methylation occurs within the first two decades, with reversion rates related to the initial differences in methylation. For 52 CpG sites, the change in methylation from baseline to follow-up is significantly different for former smokers relative to the change for never smokers (lowest p-value 3.61 x 10-39 for cg26703534, gene AHRR). Most of these sites' respective regions have been previously implicated in smoking-associated diseases. Despite the early rapid change, dynamism of methylation appears greater in former smokers vs never smokers even four decades after cessation. Furthermore, our study reveals the heterogeneous effect of continued smoking: the methylation levels of some loci further diverge between smokers and non-smokers, while others re-approach. Though intensity of smoking habit appears more significant than duration, results remain inconclusive.This study improves the understanding of the dynamic link between cigarette smoking and methylation, revealing the continued fluctuation of methylation levels decades after smoking cessation and demonstrating that continuing smoking can have an array of effects. The results can facilitate insights into the molecular mechanisms behind smoking-induced disturbed methylation, improving the possibility for development of biomarkers of past smoking behavior and increasing the understanding of the molecular path from exposure to disease.CONCLUSIONSThis study improves the understanding of the dynamic link between cigarette smoking and methylation, revealing the continued fluctuation of methylation levels decades after smoking cessation and demonstrating that continuing smoking can have an array of effects. The results can facilitate insights into the molecular mechanisms behind smoking-induced disturbed methylation, improving the possibility for development of biomarkers of past smoking behavior and increasing the understanding of the molecular path from exposure to disease. The evidence for epigenome-wide associations between smoking and DNA methylation continues to grow through cross-sectional studies. However, few large-scale investigations have explored the associations using observations for individuals at multiple time-points. Here, through the use of the Illumina 450K BeadChip and data collected at two time-points separated by approximately 7 years, we investigate changes in methylation over time associated with quitting smoking or remaining a former smoker, and those associated with continued smoking. Our results indicate that after quitting smoking the most rapid reversion of altered methylation occurs within the first two decades, with reversion rates related to the initial differences in methylation. For 52 CpG sites, the change in methylation from baseline to follow-up is significantly different for former smokers relative to the change for never smokers (lowest p-value 3.61 x 10.sup.-39 for cg26703534, gene AHRR). Most of these sites' respective regions have been previously implicated in smoking-associated diseases. Despite the early rapid change, dynamism of methylation appears greater in former smokers vs never smokers even four decades after cessation. Furthermore, our study reveals the heterogeneous effect of continued smoking: the methylation levels of some loci further diverge between smokers and non-smokers, while others re-approach. Though intensity of smoking habit appears more significant than duration, results remain inconclusive. This study improves the understanding of the dynamic link between cigarette smoking and methylation, revealing the continued fluctuation of methylation levels decades after smoking cessation and demonstrating that continuing smoking can have an array of effects. The results can facilitate insights into the molecular mechanisms behind smoking-induced disturbed methylation, improving the possibility for development of biomarkers of past smoking behavior and increasing the understanding of the molecular path from exposure to disease. The evidence for epigenome-wide associations between smoking and DNA methylation continues to grow through cross-sectional studies. However, few large-scale investigations have explored the associations using observations for individuals at multiple time-points. Here, through the use of the Illumina 450K BeadChip and data collected at two time-points separated by approximately 7 years, we investigate changes in methylation over time associated with quitting smoking or remaining a former smoker, and those associated with continued smoking. Our results indicate that after quitting smoking the most rapid reversion of altered methylation occurs within the first two decades, with reversion rates related to the initial differences in methylation. For 52 CpG sites, the change in methylation from baseline to follow-up is significantly different for former smokers relative to the change for never smokers (lowest p-value 3.61 x 10 for cg26703534, gene AHRR). Most of these sites' respective regions have been previously implicated in smoking-associated diseases. Despite the early rapid change, dynamism of methylation appears greater in former smokers vs never smokers even four decades after cessation. Furthermore, our study reveals the heterogeneous effect of continued smoking: the methylation levels of some loci further diverge between smokers and non-smokers, while others re-approach. Though intensity of smoking habit appears more significant than duration, results remain inconclusive. This study improves the understanding of the dynamic link between cigarette smoking and methylation, revealing the continued fluctuation of methylation levels decades after smoking cessation and demonstrating that continuing smoking can have an array of effects. The results can facilitate insights into the molecular mechanisms behind smoking-induced disturbed methylation, improving the possibility for development of biomarkers of past smoking behavior and increasing the understanding of the molecular path from exposure to disease. Background The evidence for epigenome-wide associations between smoking and DNA methylation continues to grow through cross-sectional studies. However, few large-scale investigations have explored the associations using observations for individuals at multiple time-points. Here, through the use of the Illumina 450K BeadChip and data collected at two time-points separated by approximately 7 years, we investigate changes in methylation over time associated with quitting smoking or remaining a former smoker, and those associated with continued smoking. Results Our results indicate that after quitting smoking the most rapid reversion of altered methylation occurs within the first two decades, with reversion rates related to the initial differences in methylation. For 52 CpG sites, the change in methylation from baseline to follow-up is significantly different for former smokers relative to the change for never smokers (lowest p-value 3.61 x 10.sup.-39 for cg26703534, gene AHRR). Most of these sites' respective regions have been previously implicated in smoking-associated diseases. Despite the early rapid change, dynamism of methylation appears greater in former smokers vs never smokers even four decades after cessation. Furthermore, our study reveals the heterogeneous effect of continued smoking: the methylation levels of some loci further diverge between smokers and non-smokers, while others re-approach. Though intensity of smoking habit appears more significant than duration, results remain inconclusive. Conclusions This study improves the understanding of the dynamic link between cigarette smoking and methylation, revealing the continued fluctuation of methylation levels decades after smoking cessation and demonstrating that continuing smoking can have an array of effects. The results can facilitate insights into the molecular mechanisms behind smoking-induced disturbed methylation, improving the possibility for development of biomarkers of past smoking behavior and increasing the understanding of the molecular path from exposure to disease. Keywords: DNA methylation, Smoking, Longitudinal study, Epigenetics, Tobacco, Cigarettes |
| ArticleNumber | 805 |
| Audience | Academic |
| Author | Kunze, Sonja Reischl, Eva Wahl, Simone Wilson, Rory Waldenberger, Melanie Ward-Caviness, Cavin K. Pfeiffer, Liliane Peters, Annette Kretschmer, Anja Gieger, Christian |
| Author_xml | – sequence: 1 givenname: Rory orcidid: 0000-0001-6135-3764 surname: Wilson fullname: Wilson, Rory email: rory.wilson@helmholtz-muenchen.de organization: Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Research Unit Molecular Epidemiology (AME) – sequence: 2 givenname: Simone surname: Wahl fullname: Wahl, Simone organization: Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, German Center for Diabetes Research (DZD e.V.) – sequence: 3 givenname: Liliane surname: Pfeiffer fullname: Pfeiffer, Liliane organization: Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health – sequence: 4 givenname: Cavin K. surname: Ward-Caviness fullname: Ward-Caviness, Cavin K. organization: Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Environmental Public Health Division, US Environmental Protection Agency – sequence: 5 givenname: Sonja surname: Kunze fullname: Kunze, Sonja organization: Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health – sequence: 6 givenname: Anja surname: Kretschmer fullname: Kretschmer, Anja organization: Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health – sequence: 7 givenname: Eva surname: Reischl fullname: Reischl, Eva organization: Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health – sequence: 8 givenname: Annette surname: Peters fullname: Peters, Annette organization: Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance – sequence: 9 givenname: Christian surname: Gieger fullname: Gieger, Christian organization: Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, German Center for Diabetes Research (DZD e.V.) – sequence: 10 givenname: Melanie surname: Waldenberger fullname: Waldenberger, Melanie organization: Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29047347$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9ks1u1DAUhSNURH_gAdggS2xAIsV27DhmgVRV_IxUCQnK2nLimxkPiT3YCTAvwTPjzEzbmQpQFnGuv3Oce31OsyPnHWTZU4LPCanK15HQqmQ5JiJnRFY5fpCdECZITknJjvbWx9lpjEucwIryR9kxlZiJgomT7Pf1ApBZO93bJiLfotj7b9bN8wCdHsAgY-MwhjqtehgW61S03r1BGg0_PRpsD_nKWzegRJn1ZLCHoWah3RyQdRtbCPEVSi3kuw-knUGtDz2Em_3H2cNWdxGe7N5n2df3764vP-ZXnz7MLi-u8oZzinNTl1wITChvqKwlkEZSqguKy4oABUZEDbTAhmhOKWNtXRNJG1KAKI2ooC3OstnW13i9VKtgex3WymurNgUf5kqHwTYdKF6Ksq1K0hppWPKpGDailFxq2QrWTl5vt16rse7BNOCGoLsD08MdZxdq7n-osqjSPfBk8GJnEPz3EeKgehsb6DrtwI9REckLKkUhaUKf30OXfgwujUrRglUFTzeM76i5Tg1Y1_p0bjOZqgtOcEFZwSev879Q6TGQwpCS1tpUPxC8PBAkZoBfw1yPMarZl8-H7LP9odxO4yZ5CSBboAk-xgDtLUKwmtKttulWKbRqSrea-hL3NI0dNklLf267_yrpVhnTKSmS4W5u_xb9AR2DDMw |
| CitedBy_id | crossref_primary_10_1007_s00438_022_01935_w crossref_primary_10_1080_15592294_2020_1819662 crossref_primary_10_1016_j_addicn_2023_100079 crossref_primary_10_1016_j_arbr_2018_10_010 crossref_primary_10_3390_ijerph16173141 crossref_primary_10_1038_s41467_020_19615_x crossref_primary_10_1016_j_chest_2022_12_036 crossref_primary_10_1016_j_psychres_2024_115757 crossref_primary_10_1111_adb_12855 crossref_primary_10_3390_genes11121415 crossref_primary_10_1016_j_arbres_2018_10_015 crossref_primary_10_1016_j_ebiom_2018_10_051 crossref_primary_10_1186_s13148_023_01507_8 crossref_primary_10_1002_ajmg_b_32813 crossref_primary_10_1038_s41598_021_01088_7 crossref_primary_10_1111_ene_13962 crossref_primary_10_1111_odi_13654 crossref_primary_10_1038_s41398_019_0430_9 crossref_primary_10_1111_obr_13319 crossref_primary_10_1016_j_fsigen_2023_102878 crossref_primary_10_3389_fnins_2021_644943 crossref_primary_10_1016_S2213_2600_21_00555_5 crossref_primary_10_1186_s13073_024_01417_1 crossref_primary_10_3390_biom8030074 crossref_primary_10_1007_s40471_019_00191_8 crossref_primary_10_3389_fgene_2018_00137 crossref_primary_10_1016_j_rmed_2022_106896 crossref_primary_10_1080_15592294_2019_1581589 crossref_primary_10_1038_s41598_022_13892_w crossref_primary_10_1002_ajmg_b_32760 crossref_primary_10_3390_biom14060662 crossref_primary_10_1093_ije_dyab044 crossref_primary_10_1007_s00204_019_02562_y crossref_primary_10_1080_15592294_2019_1668739 crossref_primary_10_1016_j_fct_2019_04_059 crossref_primary_10_3389_fnins_2022_923065 crossref_primary_10_1038_s41598_019_38980_2 crossref_primary_10_1080_15592294_2021_1985301 crossref_primary_10_1111_adb_12670 crossref_primary_10_1186_s13148_020_00882_w crossref_primary_10_1002_ajmg_b_32636 crossref_primary_10_3390_epigenomes9010001 crossref_primary_10_1186_s12885_020_07407_x crossref_primary_10_3389_fgene_2019_00770 crossref_primary_10_1186_s12916_020_01736_1 crossref_primary_10_1080_15592294_2022_2100684 crossref_primary_10_1161_CIRCRESAHA_118_312497 crossref_primary_10_1186_s13148_018_0558_0 crossref_primary_10_1186_s13148_018_0591_z crossref_primary_10_1038_s41398_021_01608_z crossref_primary_10_3390_ijms21197053 crossref_primary_10_1159_000531349 crossref_primary_10_1038_s41380_023_02106_y crossref_primary_10_3390_ijms23147611 crossref_primary_10_1186_s13148_021_01082_w |
| Cites_doi | 10.1093/nar/gkt439 10.1186/1868-7083-5-19 10.18637/jss.v067.i01 10.1038/bjc.2011.113 10.1055/s-2005-858226 10.4161/epi.27248 10.1186/s12929-016-0269-9 10.1186/1471-2105-13-86 10.1093/eurheartj/ehs091 10.1186/s13148-015-0148-3 10.1093/hmg/ddt621 10.1371/journal.pone.0063812 10.1097/EDE.0b013e31829d5cb3 10.1038/nrendo.2013.154 10.2105/AJPH.78.6.696 10.1016/j.ajhg.2016.02.019 10.1093/hmg/dds488 10.1289/ehp.1205412 10.1186/s13148-017-0387-6 10.1161/CIRCGENETICS.116.001506 10.1136/thoraxjnl-2016-208789 10.1371/journal.pone.0155554 10.1289/ehp.1306937 10.1055/s-2005-858235 10.1186/1471-2164-13-S8-S20 10.1038/ncomms14617 10.1200/JCO.2003.05.085 10.1186/s13059-015-0600-x 10.1093/ije/dyv048 10.1186/1471-2164-15-151 10.1186/1617-9625-8-4 10.1074/jbc.M109.086959 10.1186/gb4029 10.1093/bioinformatics/btu049 10.1007/978-0-387-98141-3 10.1016/S0140-6736(03)14338-3 10.3389/fpsyt.2016.00055 10.1093/hmg/dds135 10.1016/j.euroneuro.2007.12.005 10.18637/jss.v082.i13 10.1016/j.ajhg.2011.03.003 10.4161/15592294.2014.969637 10.1016/j.mrgentox.2014.04.007 10.1158/0008-5472.CAN-07-2095 10.1093/hmg/ddu739 10.1093/hmg/ddu751 10.1002/ajmg.b.32565 10.1038/s41598-017-10199-z 10.1371/journal.pone.0045381 |
| ContentType | Journal Article |
| Copyright | The Author(s). 2017 COPYRIGHT 2017 BioMed Central Ltd. 2017. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: The Author(s). 2017 – notice: COPYRIGHT 2017 BioMed Central Ltd. – notice: 2017. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | C6C AAYXX CITATION CGR CUY CVF ECM EIF NPM ISR 3V. 7QP 7QR 7SS 7TK 7U7 7X7 7XB 88E 8AO 8FD 8FE 8FH 8FI 8FJ 8FK ABUWG AEUYN AFKRA AZQEC BBNVY BENPR BHPHI C1K CCPQU DWQXO FR3 FYUFA GHDGH GNUQQ HCIFZ K9. LK8 M0S M1P M7P P64 PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS RC3 7X8 5PM DOA |
| DOI | 10.1186/s12864-017-4198-0 |
| DatabaseName | Springer Nature OA Free Journals CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Gale In Context: Science ProQuest Central (Corporate) Calcium & Calcified Tissue Abstracts Chemoreception Abstracts Entomology Abstracts (Full archive) Neurosciences Abstracts Toxicology Abstracts Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest Pharma Collection Technology Research Database ProQuest SciTech Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland ProQuest Central Essentials - QC Biological Science Collection ProQuest Central Natural Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Central Engineering Research Database Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Biological Sciences Health & Medical Collection (Alumni Edition) PQ Medical Database Biological Science Database Biotechnology and BioEngineering Abstracts ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China Genetics Abstracts MEDLINE - Academic PubMed Central (Full Participant titles) Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database ProQuest Central Student Technology Research Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Pharma Collection ProQuest Central China Environmental Sciences and Pollution Management ProQuest Central ProQuest One Applied & Life Sciences ProQuest One Sustainability ProQuest Health & Medical Research Collection Genetics Abstracts Health Research Premium Collection Health and Medicine Complete (Alumni Edition) Natural Science Collection ProQuest Central Korea Health & Medical Research Collection Biological Science Collection Chemoreception Abstracts ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest Biological Science Collection Toxicology Abstracts ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) Biological Science Database ProQuest SciTech Collection Neurosciences Abstracts ProQuest Hospital Collection (Alumni) Biotechnology and BioEngineering Abstracts Entomology Abstracts ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition Engineering Research Database ProQuest One Academic Calcium & Calcified Tissue Abstracts ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | Publicly Available Content Database MEDLINE - Academic MEDLINE |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology |
| EISSN | 1471-2164 |
| EndPage | 15 |
| ExternalDocumentID | oai_doaj_org_article_5676f861fd9d4b19840d76959a9f74ff PMC6389045 A510324352 29047347 10_1186_s12864_017_4198_0 |
| Genre | Journal Article |
| GrantInformation_xml | – fundername: FP7 Health (BE) grantid: 603288 – fundername: BMBF grantid: 01ZX1313A-2014 – fundername: FP7 Innovation grantid: 602736 – fundername: FP7 Health (BE) grantid: 313010 – fundername: ; grantid: 313010 – fundername: ; grantid: 602736 – fundername: ; grantid: 603288 – fundername: ; grantid: 01ZX1313A-2014 |
| GroupedDBID | --- 0R~ 23N 2WC 2XV 53G 5VS 6J9 7X7 88E 8AO 8FE 8FH 8FI 8FJ AAFWJ AAHBH AAJSJ AASML ABDBF ABUWG ACGFO ACGFS ACIHN ACIWK ACPRK ACUHS ADBBV ADRAZ ADUKV AEAQA AENEX AEUYN AFKRA AFPKN AFRAH AHBYD AHMBA AHYZX ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AOIJS BAPOH BAWUL BBNVY BCNDV BENPR BFQNJ BHPHI BMC BPHCQ BVXVI C6C CCPQU CS3 DIK DU5 E3Z EAD EAP EAS EBD EBLON EBS EJD EMB EMK EMOBN ESX F5P FYUFA GROUPED_DOAJ GX1 H13 HCIFZ HMCUK HYE IAO IGS IHR INH INR ISR ITC KQ8 LK8 M1P M48 M7P M~E O5R O5S OK1 OVT P2P PGMZT PHGZM PHGZT PIMPY PJZUB PPXIY PQGLB PQQKQ PROAC PSQYO PUEGO RBZ RNS ROL RPM RSV SBL SOJ SV3 TR2 TUS U2A UKHRP W2D WOQ WOW XSB AAYXX AFFHD CITATION ALIPV CGR CUY CVF ECM EIF NPM 3V. 7QP 7QR 7SS 7TK 7U7 7XB 8FD 8FK AHSBF AZQEC C1K DWQXO FR3 GNUQQ K9. P64 PKEHL PQEST PQUKI PRINS RC3 7X8 5PM |
| ID | FETCH-LOGICAL-c5520-db65770125c29b9e1c922a320681e2e417be230d1a52244fbb192c13e76d78ef3 |
| IEDL.DBID | DOA |
| ISSN | 1471-2164 |
| IngestDate | Fri Oct 03 12:53:42 EDT 2025 Tue Nov 04 01:56:11 EST 2025 Thu Oct 02 09:50:11 EDT 2025 Tue Oct 07 05:40:48 EDT 2025 Tue Nov 11 10:43:42 EST 2025 Tue Nov 04 17:48:33 EST 2025 Thu Nov 13 14:52:02 EST 2025 Thu Apr 03 07:08:48 EDT 2025 Tue Nov 18 22:03:24 EST 2025 Sat Nov 29 03:39:40 EST 2025 Sat Sep 06 07:21:36 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Keywords | DNA methylation Epigenetics Tobacco Cigarettes Longitudinal study Smoking |
| Language | English |
| License | Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c5520-db65770125c29b9e1c922a320681e2e417be230d1a52244fbb192c13e76d78ef3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ORCID | 0000-0001-6135-3764 |
| OpenAccessLink | https://doaj.org/article/5676f861fd9d4b19840d76959a9f74ff |
| PMID | 29047347 |
| PQID | 2348351780 |
| PQPubID | 44682 |
| PageCount | 15 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_5676f861fd9d4b19840d76959a9f74ff pubmedcentral_primary_oai_pubmedcentral_nih_gov_6389045 proquest_miscellaneous_1953297392 proquest_journals_2348351780 gale_infotracmisc_A510324352 gale_infotracacademiconefile_A510324352 gale_incontextgauss_ISR_A510324352 pubmed_primary_29047347 crossref_primary_10_1186_s12864_017_4198_0 crossref_citationtrail_10_1186_s12864_017_4198_0 springer_journals_10_1186_s12864_017_4198_0 |
| PublicationCentury | 2000 |
| PublicationDate | 20171018 |
| PublicationDateYYYYMMDD | 2017-10-18 |
| PublicationDate_xml | – month: 10 year: 2017 text: 20171018 day: 18 |
| PublicationDecade | 2010 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England |
| PublicationTitle | BMC genomics |
| PublicationTitleAbbrev | BMC Genomics |
| PublicationTitleAlternate | BMC Genomics |
| PublicationYear | 2017 |
| Publisher | BioMed Central BioMed Central Ltd Springer Nature B.V BMC |
| Publisher_xml | – name: BioMed Central – name: BioMed Central Ltd – name: Springer Nature B.V – name: BMC |
| References | 4198_CR41 R Core Team (4198_CR29) 2016 JO Ebbert (4198_CR23) 2003; 21 ES Wan (4198_CR18) 2012; 21 D Bates (4198_CR30) 2015; 67 H Wickham (4198_CR32) 2009 4198_CR2 M Ojima (4198_CR6) 2010; 8 4198_CR47 YT Ma (4198_CR15) 2011; 104 J Jourquin (4198_CR44) 2012; 13 S Zeilinger (4198_CR8) 2013; 8 B Novakovic (4198_CR39) 2014; 9 MV Dogan (4198_CR56) 2017; 174 A Bagchi (4198_CR49) 2008; 68 LG Tsaprouni (4198_CR19) 2014; 9 R Chandirasekar (4198_CR5) 2014; 767 BR Joubert (4198_CR40) 2012; 120 MJ Jarvis (4198_CR53) 1988; 78 M Shields (4198_CR22) 2013; 24 4198_CR38 4198_CR37 4198_CR31 E Canalis (4198_CR52) 2013; 9 4198_CR34 J Wang (4198_CR43) 2013; 41 M Ezzati (4198_CR3) 2003; 362 L Groth-Pedersen (4198_CR46) 2012; 7 KW Lee (4198_CR7) 2013; 4 J Jen (4198_CR48) 2016; 23 X Gao (4198_CR55) 2017; 9 JW Ng (4198_CR14) 2012; 13 MV Dogan (4198_CR33) 2014; 15 4198_CR28 4198_CR25 4198_CR24 4198_CR27 BR Joubert (4198_CR35) 2016; 98 LP Breitling (4198_CR9) 2011; 88 Y Zhang (4198_CR21) 2014; 122 4198_CR51 4198_CR1 AJ Titus (4198_CR50) 2017; 7 G Patino-Lopez (4198_CR45) 2010; 285 4198_CR17 JC Charlesworth (4198_CR36) 2010; 3 F Guida (4198_CR20) 2015; 24 4198_CR13 LP Breitling (4198_CR42) 2012; 33 4198_CR16 B Lehne (4198_CR26) 2015; 16 XL Wang (4198_CR4) 2005 4198_CR10 RA Philibert (4198_CR54) 2013; 5 4198_CR12 4198_CR11 |
| References_xml | – volume: 41 start-page: W77 year: 2013 ident: 4198_CR43 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkt439 – volume: 5 start-page: 19 year: 2013 ident: 4198_CR54 publication-title: Clin Epigenet doi: 10.1186/1868-7083-5-19 – volume-title: R: a language and environment for statistical computing year: 2016 ident: 4198_CR29 – volume: 67 start-page: 1 year: 2015 ident: 4198_CR30 publication-title: J Stat Softw doi: 10.18637/jss.v067.i01 – volume: 104 start-page: 1500 year: 2011 ident: 4198_CR15 publication-title: Br J Cancer doi: 10.1038/bjc.2011.113 – ident: 4198_CR25 doi: 10.1055/s-2005-858226 – volume: 9 start-page: 377 year: 2014 ident: 4198_CR39 publication-title: Epigenetics doi: 10.4161/epi.27248 – volume: 23 start-page: 53 year: 2016 ident: 4198_CR48 publication-title: J Biomed Sci doi: 10.1186/s12929-016-0269-9 – ident: 4198_CR28 doi: 10.1186/1471-2105-13-86 – volume: 33 start-page: 2841 year: 2012 ident: 4198_CR42 publication-title: Eur Heart J doi: 10.1093/eurheartj/ehs091 – ident: 4198_CR13 doi: 10.1186/s13148-015-0148-3 – ident: 4198_CR34 doi: 10.1093/hmg/ddt621 – volume: 8 start-page: e63812 year: 2013 ident: 4198_CR8 publication-title: PLoS One doi: 10.1371/journal.pone.0063812 – ident: 4198_CR11 doi: 10.1097/EDE.0b013e31829d5cb3 – volume: 9 start-page: 575 year: 2013 ident: 4198_CR52 publication-title: Nat Rev Endocrinol doi: 10.1038/nrendo.2013.154 – volume: 78 start-page: 696 year: 1988 ident: 4198_CR53 publication-title: Am J Public Health doi: 10.2105/AJPH.78.6.696 – volume: 98 start-page: 680 year: 2016 ident: 4198_CR35 publication-title: Am J Hum Genet doi: 10.1016/j.ajhg.2016.02.019 – ident: 4198_CR37 doi: 10.1093/hmg/dds488 – volume: 120 start-page: 1425 year: 2012 ident: 4198_CR40 publication-title: Environ Health Perspect doi: 10.1289/ehp.1205412 – ident: 4198_CR1 – volume: 9 start-page: 87 year: 2017 ident: 4198_CR55 publication-title: Clin Epigenet. doi: 10.1186/s13148-017-0387-6 – ident: 4198_CR12 doi: 10.1161/CIRCGENETICS.116.001506 – ident: 4198_CR38 doi: 10.1136/thoraxjnl-2016-208789 – ident: 4198_CR41 doi: 10.1371/journal.pone.0155554 – volume: 24 start-page: 3 year: 2013 ident: 4198_CR22 publication-title: Health Rep – volume: 122 start-page: 131 year: 2014 ident: 4198_CR21 publication-title: Environ Health Perspect doi: 10.1289/ehp.1306937 – ident: 4198_CR24 doi: 10.1055/s-2005-858235 – volume: 13 start-page: S20 issue: Suppl 8 year: 2012 ident: 4198_CR44 publication-title: BMC Genomics doi: 10.1186/1471-2164-13-S8-S20 – ident: 4198_CR51 doi: 10.1038/ncomms14617 – volume: 21 start-page: 921 year: 2003 ident: 4198_CR23 publication-title: J Clin Oncol doi: 10.1200/JCO.2003.05.085 – volume: 16 start-page: 1 year: 2015 ident: 4198_CR26 publication-title: Genome Biol doi: 10.1186/s13059-015-0600-x – ident: 4198_CR47 doi: 10.1093/ije/dyv048 – volume: 15 start-page: 151 year: 2014 ident: 4198_CR33 publication-title: BMC Genomics doi: 10.1186/1471-2164-15-151 – volume: 8 start-page: 4 year: 2010 ident: 4198_CR6 publication-title: Tob Induc Dis doi: 10.1186/1617-9625-8-4 – volume: 285 start-page: 8675 year: 2010 ident: 4198_CR45 publication-title: J Biol Chem doi: 10.1074/jbc.M109.086959 – ident: 4198_CR2 – volume: 13 start-page: 246 year: 2012 ident: 4198_CR14 publication-title: Genome Biol doi: 10.1186/gb4029 – ident: 4198_CR27 doi: 10.1093/bioinformatics/btu049 – volume-title: ggplot2: elegant graphics for data analysis year: 2009 ident: 4198_CR32 doi: 10.1007/978-0-387-98141-3 – volume: 362 start-page: 847 year: 2003 ident: 4198_CR3 publication-title: Lancet doi: 10.1016/S0140-6736(03)14338-3 – ident: 4198_CR16 doi: 10.3389/fpsyt.2016.00055 – volume: 21 start-page: 3073 year: 2012 ident: 4198_CR18 publication-title: Hum Mol Genet doi: 10.1093/hmg/dds135 – ident: 4198_CR10 doi: 10.1016/j.euroneuro.2007.12.005 – ident: 4198_CR31 doi: 10.18637/jss.v082.i13 – volume: 88 start-page: 450 year: 2011 ident: 4198_CR9 publication-title: Am J Hum Genet doi: 10.1016/j.ajhg.2011.03.003 – volume: 9 start-page: 1382 year: 2014 ident: 4198_CR19 publication-title: Epigenetics. doi: 10.4161/15592294.2014.969637 – volume: 767 start-page: 21 year: 2014 ident: 4198_CR5 publication-title: Mutat Res Genet Toxicol Environ Mutagen doi: 10.1016/j.mrgentox.2014.04.007 – volume: 68 start-page: 2551 year: 2008 ident: 4198_CR49 publication-title: Cancer Res doi: 10.1158/0008-5472.CAN-07-2095 – ident: 4198_CR17 doi: 10.1093/hmg/ddu739 – volume: 24 start-page: 2349 year: 2015 ident: 4198_CR20 publication-title: Hum Mol Genet doi: 10.1093/hmg/ddu751 – volume: 3 start-page: 29 year: 2010 ident: 4198_CR36 publication-title: BMC Med Genet – volume: 174 start-page: 595 year: 2017 ident: 4198_CR56 publication-title: Am J Med Genet B Neuropsychiatr Genet doi: 10.1002/ajmg.b.32565 – volume: 4 start-page: 132 year: 2013 ident: 4198_CR7 publication-title: Front Genet – volume: 7 start-page: 11594 year: 2017 ident: 4198_CR50 publication-title: Sci Rep doi: 10.1038/s41598-017-10199-z – volume: 7 start-page: e45381 year: 2012 ident: 4198_CR46 publication-title: PLoS One doi: 10.1371/journal.pone.0045381 – volume-title: Molecular mechanisms of tobacco-induced diseases year: 2005 ident: 4198_CR4 |
| SSID | ssj0017825 |
| Score | 2.4788477 |
| Snippet | Background
The evidence for epigenome-wide associations between smoking and DNA methylation continues to grow through cross-sectional studies. However, few... The evidence for epigenome-wide associations between smoking and DNA methylation continues to grow through cross-sectional studies. However, few large-scale... Background The evidence for epigenome-wide associations between smoking and DNA methylation continues to grow through cross-sectional studies. However, few... Abstract Background The evidence for epigenome-wide associations between smoking and DNA methylation continues to grow through cross-sectional studies.... |
| SourceID | doaj pubmedcentral proquest gale pubmed crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 805 |
| SubjectTerms | Age Animal Genetics and Genomics Biomarkers Biomedical and Life Sciences Blood Cigarette smoking Cigarettes CpG islands Deoxyribonucleic acid DNA DNA Methylation Drug addiction Epigenetics Female Genetic aspects Genomics Habits Health aspects Human and rodent genomics Humans Interviews Life Sciences Longitudinal studies Longitudinal study Male Methylation Microarrays Microbial Genetics and Genomics Middle Aged Molecular modelling Oligonucleotide Array Sequence Analysis Plant Genetics and Genomics Principal components analysis Proteomics Research Article Reversion Smokers Smoking Smoking - genetics Smoking cessation Time Factors Tobacco Variation |
| SummonAdditionalLinks | – databaseName: Biological Science Database dbid: M7P link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELaggMSF9yNQkEFISFCriZP4wQUVRAUSqipe6s1KbKesBMmS7IL6J_jNzDjebVNEL9x21xNnxx7PjD3jbwh5UoJNl9xlTKrcsUKLglXcIdxdhXDttuLhluuX93JvTx0c6P144DbEtMqVTgyK2nUWz8i3eV6As5BJlb6c_2BYNQqjq7GExnlyAVESeEjd219HEcD6lTGSmSmxPYAuFphzITH2qVg6sUUBsv9vxXzCMp3OmjwVOg0Waffq__JyjVyJvijdGYXnOjnn2xvk0lid8ugm-Q0iRN1YsX6gXUOH7x0erLNw_8U76kBEln0Nn7AO9dGYVfeCVnTxq6NYtJ7Nu1m7oAHCFjs4QUbHG8d01oZuwQndom3XsviFVq2j6E_7ftV-i3zeffPp9VsWyzcwCxKQMleLUkowgKXlutY-s5rzKuepUJnnvshk7WED5LIK5KUomroGb9NmuZfCSeWb_DbZgBf7u4TmurTOQ09a5YV3uca7V3VZ80Y2qqzrhKSriTQ2YptjiY1vJuxxlDDj3BuYe4Nzb9KEPFs_Mh-BPc4ifoXSsSZETO7wQ9cfmrjETSmkaJTIGqddAbzA1tlJoUtd6UYWTZOQxyhbBlE3WkzrOayWw2DeffxgdgKuIXiuPCFPI1HTAQe2irckYBwQqGtCuTmhBLVgp80r2TNRLQ3mWPAS8mjdjE9iql3ru-VgMK6KBc00dHFnlPg131ynhcwLmRA5WQuTgZm2tLOvAbQcPWPYPiTk-WrVHP-tf477vbOZuE8uc1zNmGCkNsnGol_6B-Si_bmYDf3DoAv-AC6pZUo priority: 102 providerName: ProQuest – databaseName: Springer Journals dbid: RSV link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR3ZbtQw0EIFJF64j0BBBiEhAVY3juODt4KoQEIVaqHqm5XEdlkJkirZBfUn-GZmnIOmHBK87a7H3vVkzp2LkMc56HTFXcqUzhwTRgpWcIft7gps114VPFa5HrxTu7v68NC8H-q4uzHbfQxJRkkd2VrLrQ4kqcSMCYWRS83ATz8P2k7jvIa9_YMpdAAqLx_Cl7_dNlNAsU__r9L4lDo6myp5Jl4a1dDOlf-6wFVyebA66XZPJtfIOV9fJxf7OZQnN8h3IBbq-tn0HW0C7b40-Bc6i5Uu3lEHxLBuS3iFE6dP-vy5F7Sgq28NxfH07LhZ1isam9XiAafAaF9bTJd1PBbMzee0bmo2vKFF7Shazr4d12-SjzuvP7x6w4ZBDayCZ71grpS5UqDq8oqb0vi0MpwXGV9InXruRapKD66OSwugDCFCWYJdWaWZV9Ip7UN2i2zAF_s7hGYmr5yHk4zOhHeZwSqrMi95UEHnZZmQxfj0bDV0McdhGp9t9Ga0tD2aLaDZIprtIiFPpy3HfQuPvwG_RJKYALH7dvygaY_swMw2l0oGLdPgjBNwF3CSnZImN4UJSoSQkEdIUBb7a9SYwHNUrLvOvt3fs9uxgyHYqDwhTwag0MANqmKohwA8YEuuGeTmDBIEQDVfHunWDgKoszwTYFsDM8CNHk7LuBOT6mrfrDuLEVQcXWbgiNs9mU_35mYhVCZUQtSMAWaIma_Uy0-xPTnawOAoJOTZyAY_f9Yf8X73n6DvkUsc-Qgzi_Qm2Vi1a3-fXKi-rpZd-yDKgx9MPVri priority: 102 providerName: Springer Nature |
| Title | The dynamics of smoking-related disturbed methylation: a two time-point study of methylation change in smokers, non-smokers and former smokers |
| URI | https://link.springer.com/article/10.1186/s12864-017-4198-0 https://www.ncbi.nlm.nih.gov/pubmed/29047347 https://www.proquest.com/docview/2348351780 https://www.proquest.com/docview/1953297392 https://pubmed.ncbi.nlm.nih.gov/PMC6389045 https://doaj.org/article/5676f861fd9d4b19840d76959a9f74ff |
| Volume | 18 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVADU databaseName: BioMed Central Open Access Free customDbUrl: eissn: 1471-2164 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017825 issn: 1471-2164 databaseCode: RBZ dateStart: 20000101 isFulltext: true titleUrlDefault: https://www.biomedcentral.com/search/ providerName: BioMedCentral – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1471-2164 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017825 issn: 1471-2164 databaseCode: DOA dateStart: 20000101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1471-2164 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017825 issn: 1471-2164 databaseCode: M~E dateStart: 20000101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Health & Medical Collection (ProQuest) customDbUrl: eissn: 1471-2164 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017825 issn: 1471-2164 databaseCode: 7X7 dateStart: 20090101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Biological Science customDbUrl: eissn: 1471-2164 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017825 issn: 1471-2164 databaseCode: M7P dateStart: 20090101 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central (New) customDbUrl: eissn: 1471-2164 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017825 issn: 1471-2164 databaseCode: BENPR dateStart: 20090101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1471-2164 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017825 issn: 1471-2164 databaseCode: PIMPY dateStart: 20090101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVAVX databaseName: Springer LINK customDbUrl: eissn: 1471-2164 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017825 issn: 1471-2164 databaseCode: RSV dateStart: 20001201 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3db9MwELdggMQL4nMERmUQEhIQLXEcf_C2oU1MgqrqYBpPVhLbUAmSqWlB-yf4m7lz0tIMAS-8REl8ceO7i-_cO_-OkKc52HTJbBpLldmYa8HjglmEuysQrr0qWNjlevJWjsfq9FRPNkp9YU5YBw_cMW43F1J4JVJvteUlLJF5YqXQuS60l9x7nH0TqVeLqT5-AHYv72OYqRK7LczCArMtJEY9VZwMrFAA6_99St6wSRfzJS8ETYMtOrxJbvROJN3rXv4WueTq2-RaV1by_A75AbKntis139LG0_Zrg_-Ix2HjirPUgmyX8xLOsID0eZcO94oWdPG9oVhtPj5rZvWCBuxZ7GCDjHZbhemsDt2C9_iS1k0d9xe0qC1FR9jNV-13yYfDg_ev38R93YW4AtElsS1FLiVYrrxiutQurTRjRcYSoVLHHE9l6WDlYtMCBM25L0EsrEozJ4WVyvnsHtmCH3b3Cc10XlkHPWmVcWczjZumyrxkXnqVl2VEkpUcTNWDkmNtjC8mLE6UMJ3oDIjOoOhMEpHn60fOOkSOvxHvo3DXhAimHW6Aiplexcy_VCwiT1A1DMJl1JiP86lYtq05Op6avQBICC4ni8iznsg3MIKq6Lc3AB8QYWtAuTOghO-5GjavNND080lrWMbBVQa1hhE9Xjfjk5gjV7tm2RoMiGIlMg1dbHcKux430wmXGZcRkQNVHjBm2FLPPge0cXRpwe-PyIuV0v96rT_y_cH_4PtDcp3hJ4v5Q2qHbC3mS_eIXK2-LWbtfEQuy1MZjmpEruwfjCfTUZgERpi_O4F7k6N3k49wNT0--QnapV4b |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1R3ZbtQw0CotCF64j0ABg0BIQNTEcWIbCaFyVF21Xa1KQeXJJLFTItGkbHap9if4FL6RmRzbpoi-9YG3zXrizUzm8s5FyJMQbLpgxneFDIzLVcTdmBlsdxdju_Y0ZnWV6-dNMRzK3V01WiC_u1oYTKvsdGKtqE2Z4n_kKyzg4Cz4QnpvDn64ODUKo6vdCI2GLTbs7BCObNXrwXt4v08ZW_uw827dbacKuCk8mOeaJAqFAL0cpkwlyvqpYiwOmBdJ3zLLfZFY8MuNHwManGdJAk5Q6gdWREZImwWw7zmyxJHZF8nSaLA1-jKPW4C9DdvYqS-jlQq0f4RZHgKjrdL1etavHhLwtyk4ZgtP5mmeCNbWNnDtyv9Gvavkcutt09VGPK6RBVtcJxea-ZuzG-QXCAk1syLez9OKlhmt9ksMHbh1hY811IAQTMcJfMJJ27Mmb_AVjenksKSTfN-6B2VeTGjdpBc3OAZGm5pqmhf1tuBmv6RFWbjtBY0LQ_HEYMfd-k3y6UyIcYsswg_bO4QGKkyNhZ2UDLg1gcLqsiRMWCYyGSaJQ7yOcXTadm_HISLfdX2Kk5FueE0Dr2nkNe055Pn8loOmdclpwG-RG-eA2HW8_qIc7-lWiekwElEmIz8zynDARXLPiEiFKlaZ4FnmkMfIyxr7ihSYuLQXT6tKDz5u69W6cyP45swhz1qgrAQM0ritAwE6YCuyHuRyDxIUX9pf7nhdt4q30keM7pBH82W8E5MJC1tOK42RYxzZpmCL242EzfFmyuMi4MIhoid7PcL0V4r8W92WHX1_OCA55EUnpUeP9U-63z0diYfk4vrO1qbeHAw37pFLDDUJplPJZbI4GU_tfXI-_TnJq_GDVhNR8vWsxfcPNIDAtg |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3rb9MwELfQeIgvvB-BAQYhIQHRGsfxg2_jUTExVRODad-sJLZHJUiqpAXtn-Bv5s5JyjIeEuJbW5-d-npn3_XufkfI4wzudMlsEkuV2phrweOcWYS7yxGuvcxZqHI92JWzmTo81Ht9n9N2yHYfQpJdTQOiNFXLrYX1nYorsdXCqSowe0JiFFPF4LOf5ZhHj-76_sE6jADXX9aHMn87bXQZBcz-X0_mE1fT6bTJU7HTcCVNL__3Zq6QS701Src78blKzrjqGjnf9ac8vk6-gxBR2_Wsb2ntafulxr_W41AB4yy1ICSrpoBX2In6uMure0FzuvxWU2xbHy_qebWkAcQWFzhBRruaYzqvwrJghj6nVV3F_RuaV5aiRe2aYfwG-Th98-HV27hv4BCXIAOT2BYikxKuwKxkutAuKTVjecomQiWOOZ7IwoELZJMcJIZzXxRgb5ZJ6qSwUjmf3iQb8GB3m9BUZ6V1sJJWKXc21Vh9VWQF89KrrCgiMhl-SVP26ObYZOOzCV6OEqZjswE2G2SzmUTk6XrKooP2-BvxSxSPNSGicocP6ubI9EpuMiGFVyLxVlsOewHn2UqhM51rL7n3EXmEwmUQd6PCxJ6jfNW2Zmf_vdkOyIZgu7KIPOmJfA07KPO-TgL4gFBdI8rNESUcDOV4eJBh0x9MrWEpB5sbFAN29HA9jDMx2a5y9ao1GFnFlmYalrjVifx630xPuEy5jIgcKcOIMeORav4pwJajbQwORESeDSrx82v9ke93_on6Abmw93pqdndm7-6SiwxVCpOP1CbZWDYrd4-cK78u521zPxwTPwDRHGaq |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+dynamics+of+smoking-related+disturbed+methylation%3A+a+two+time-point+study+of+methylation+change+in+smokers%2C+non-smokers+and+former+smokers&rft.jtitle=BMC+genomics&rft.au=Wilson%2C+Rory&rft.au=Wahl%2C+Simone&rft.au=Pfeiffer%2C+Liliane&rft.au=Ward-Caviness%2C+Cavin+K.&rft.date=2017-10-18&rft.issn=1471-2164&rft.eissn=1471-2164&rft.volume=18&rft.issue=1&rft_id=info:doi/10.1186%2Fs12864-017-4198-0&rft.externalDBID=n%2Fa&rft.externalDocID=10_1186_s12864_017_4198_0 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1471-2164&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1471-2164&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1471-2164&client=summon |