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Machine learning-based dna methylation score for fetal exposure to maternal smoking: development and validation in samples collected from adolescents and adults

Rauschert, Sebastian, Melton, Phillip E., Heiskala, Anni, Karhunen, Ville, Burdge, Graham, Craig, Jeffrey M., Godfrey, Keith M., Lillycrop, Karen, Mori, Trevor A., Beilin, Lawrence J., Oddy, Wendy H., Pennell, Craig, Järvelin, Marjo-Riitta, Sebert, Sylvain and Huang, Rae-Chi 2020, Machine learning-based dna methylation score for fetal exposure to maternal smoking: development and validation in samples collected from adolescents and adults, Environmental health perspectives, vol. 128, no. 9, pp. 1-11, doi: 10.1289/EHP6076.

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Title Machine learning-based dna methylation score for fetal exposure to maternal smoking: development and validation in samples collected from adolescents and adults
Author(s) Rauschert, Sebastian
Melton, Phillip E.
Heiskala, Anni
Karhunen, Ville
Burdge, Graham
Craig, Jeffrey M.ORCID iD for Craig, Jeffrey M. orcid.org/0000-0003-3979-7849
Godfrey, Keith M.
Lillycrop, Karen
Mori, Trevor A.
Beilin, Lawrence J.
Oddy, Wendy H.
Pennell, Craig
Järvelin, Marjo-Riitta
Sebert, Sylvain
Huang, Rae-Chi
Journal name Environmental health perspectives
Volume number 128
Issue number 9
Start page 1
End page 11
Total pages 11
Publisher Environmental Health Perspectives
Place of publication Research Triangle Park, N.C.
Publication date 2020-09
ISSN 0091-6765
1552-9924
Language eng
DOI 10.1289/EHP6076
Indigenous content off
Field of Research 05 Environmental Sciences
11 Medical and Health Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30143255

Document type: Journal Article
Collections: Faculty of Health
School of Medicine
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.