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DNA Methylation Score as a Biomarker in Newborns for Sustained Maternal Smoking during Pregnancy
BACKGROUND: Maternal smoking during pregnancy, especially when sustained, leads to numerous adverse health outcomes in offspring. Pregnant women disproportionately underreport smoking and smokers tend to have lower follow-up rates to repeat questionnaires. Missing, incomplete, or inaccurate data on...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Institute of Environmental Health Sciences
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381987/ https://www.ncbi.nlm.nih.gov/pubmed/27323799 http://dx.doi.org/10.1289/EHP333 |
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author | Reese, Sarah E. Zhao, Shanshan Wu, Michael C. Joubert, Bonnie R. Parr, Christine L. Håberg, Siri E. Ueland, Per Magne Nilsen, Roy M. Midttun, Øivind Vollset, Stein Emil Peddada, Shyamal D. Nystad, Wenche London, Stephanie J. |
author_facet | Reese, Sarah E. Zhao, Shanshan Wu, Michael C. Joubert, Bonnie R. Parr, Christine L. Håberg, Siri E. Ueland, Per Magne Nilsen, Roy M. Midttun, Øivind Vollset, Stein Emil Peddada, Shyamal D. Nystad, Wenche London, Stephanie J. |
author_sort | Reese, Sarah E. |
collection | PubMed |
description | BACKGROUND: Maternal smoking during pregnancy, especially when sustained, leads to numerous adverse health outcomes in offspring. Pregnant women disproportionately underreport smoking and smokers tend to have lower follow-up rates to repeat questionnaires. Missing, incomplete, or inaccurate data on presence and duration of smoking in pregnancy impairs identification of novel health effects and limits adjustment for smoking in studies of other pregnancy exposures. An objective biomarker in newborns of maternal smoking during pregnancy would be valuable. OBJECTIVES: We developed a biomarker of sustained maternal smoking in pregnancy using common DNA methylation platforms. METHODS: Using a dimension reduction method, we developed and tested a numeric score in newborns to reflect sustained maternal smoking in pregnancy from data on cotinine, a short-term smoking biomarker measured mid-pregnancy, and Illumina450K cord blood DNA methylation from newborns in the Norwegian Mother and Child Cohort Study (MoBa). RESULTS: This score reliably predicted smoking status in the training set (n = 1,057; accuracy = 96%, sensitivity = 80%, specificity = 98%). Sensitivity (58%) was predictably lower in the much smaller test set (n = 221), but accuracy (91%) and specificity (97%) remained high. Reduced birth weight, a well-known effect of maternal smoking, was as strongly related to the score as to cotinine. A three-site score had lower, but acceptable, performance (accuracy(train) = 82%, accuracy(test) = 83%). CONCLUSIONS: Our smoking methylation score represents a promising novel biomarker of sustained maternal smoking during pregnancy easily calculated with Illumina450K or IlluminaEPIC data. It may help identify novel health impacts and improve adjustment for smoking when studying other risk factors with more subtle effects. CITATION: Reese SE, Zhao S, Wu MC, Joubert BR, Parr CL, Håberg SE, Ueland PM, Nilsen RM, Midttun Ø, Vollset SE, Peddada SD, Nystad W, London SJ. 2017. DNA methylation score as a biomarker in newborns for sustained maternal smoking during pregnancy. Environ Health Perspect 125:760–766; http://dx.doi.org/10.1289/EHP333 |
format | Online Article Text |
id | pubmed-5381987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | National Institute of Environmental Health Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-53819872017-04-15 DNA Methylation Score as a Biomarker in Newborns for Sustained Maternal Smoking during Pregnancy Reese, Sarah E. Zhao, Shanshan Wu, Michael C. Joubert, Bonnie R. Parr, Christine L. Håberg, Siri E. Ueland, Per Magne Nilsen, Roy M. Midttun, Øivind Vollset, Stein Emil Peddada, Shyamal D. Nystad, Wenche London, Stephanie J. Environ Health Perspect Research BACKGROUND: Maternal smoking during pregnancy, especially when sustained, leads to numerous adverse health outcomes in offspring. Pregnant women disproportionately underreport smoking and smokers tend to have lower follow-up rates to repeat questionnaires. Missing, incomplete, or inaccurate data on presence and duration of smoking in pregnancy impairs identification of novel health effects and limits adjustment for smoking in studies of other pregnancy exposures. An objective biomarker in newborns of maternal smoking during pregnancy would be valuable. OBJECTIVES: We developed a biomarker of sustained maternal smoking in pregnancy using common DNA methylation platforms. METHODS: Using a dimension reduction method, we developed and tested a numeric score in newborns to reflect sustained maternal smoking in pregnancy from data on cotinine, a short-term smoking biomarker measured mid-pregnancy, and Illumina450K cord blood DNA methylation from newborns in the Norwegian Mother and Child Cohort Study (MoBa). RESULTS: This score reliably predicted smoking status in the training set (n = 1,057; accuracy = 96%, sensitivity = 80%, specificity = 98%). Sensitivity (58%) was predictably lower in the much smaller test set (n = 221), but accuracy (91%) and specificity (97%) remained high. Reduced birth weight, a well-known effect of maternal smoking, was as strongly related to the score as to cotinine. A three-site score had lower, but acceptable, performance (accuracy(train) = 82%, accuracy(test) = 83%). CONCLUSIONS: Our smoking methylation score represents a promising novel biomarker of sustained maternal smoking during pregnancy easily calculated with Illumina450K or IlluminaEPIC data. It may help identify novel health impacts and improve adjustment for smoking when studying other risk factors with more subtle effects. CITATION: Reese SE, Zhao S, Wu MC, Joubert BR, Parr CL, Håberg SE, Ueland PM, Nilsen RM, Midttun Ø, Vollset SE, Peddada SD, Nystad W, London SJ. 2017. DNA methylation score as a biomarker in newborns for sustained maternal smoking during pregnancy. Environ Health Perspect 125:760–766; http://dx.doi.org/10.1289/EHP333 National Institute of Environmental Health Sciences 2016-06-21 2017-04 /pmc/articles/PMC5381987/ /pubmed/27323799 http://dx.doi.org/10.1289/EHP333 Text en http://creativecommons.org/publicdomain/mark/1.0/ Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, “Reproduced with permission from Environmental Health Perspectives”); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright. |
spellingShingle | Research Reese, Sarah E. Zhao, Shanshan Wu, Michael C. Joubert, Bonnie R. Parr, Christine L. Håberg, Siri E. Ueland, Per Magne Nilsen, Roy M. Midttun, Øivind Vollset, Stein Emil Peddada, Shyamal D. Nystad, Wenche London, Stephanie J. DNA Methylation Score as a Biomarker in Newborns for Sustained Maternal Smoking during Pregnancy |
title | DNA Methylation Score as a Biomarker in Newborns for Sustained Maternal Smoking during Pregnancy |
title_full | DNA Methylation Score as a Biomarker in Newborns for Sustained Maternal Smoking during Pregnancy |
title_fullStr | DNA Methylation Score as a Biomarker in Newborns for Sustained Maternal Smoking during Pregnancy |
title_full_unstemmed | DNA Methylation Score as a Biomarker in Newborns for Sustained Maternal Smoking during Pregnancy |
title_short | DNA Methylation Score as a Biomarker in Newborns for Sustained Maternal Smoking during Pregnancy |
title_sort | dna methylation score as a biomarker in newborns for sustained maternal smoking during pregnancy |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381987/ https://www.ncbi.nlm.nih.gov/pubmed/27323799 http://dx.doi.org/10.1289/EHP333 |
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