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

Rauschert, S; Melton, PE; Heiskala, A; Karhunen, V; Burdge, G; Craig, Jeffrey; Godfrey, KM; Lillycrop, K; Mori, TA; Beilin, LJ; Oddy, WH; Pennell, C; Järvelin, MR; Sebert, S; Huang, RC

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

journal contribution

posted on 2024-06-04, 13:36 authored by S Rauschert, PE Melton, A Heiskala, V Karhunen, G Burdge, Jeffrey CraigJeffrey Craig, KM Godfrey, K Lillycrop, TA Mori, LJ Beilin, WH Oddy, C Pennell, MR Järvelin, S Sebert, RC Huang

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

History

Journal

Environmental health perspectives

Volume

128

Pagination

1-11

Location

Research Triangle Park, N.C.

Open access

Yes

Link to full text

http://doi.org/10.1289/EHP6076

ISSN

0091-6765

eISSN

1552-9924

Language

eng

Author URL

https://www.ncbi.nlm.nih.gov/pubmed/32930613

Publication classification

C1 Refereed article in a scholarly journal

Issue

9

Publisher

Environmental Health Perspectives

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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

History

Journal

Volume

Pagination

Location

Open access

Link to full text

ISSN

eISSN

Language

Author URL

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Issue

Publisher

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