An EPIC predictor of gestational age and its application to newborns conceived by assisted reproductive technologies

dc.contributor.author	Haftorn, Kristine Løkås
dc.contributor.author	Lee, Yunsung
dc.contributor.author	Denault, William Robert Paul
dc.contributor.author	Page, Christian Magnus
dc.contributor.author	Nustad, Haakon Egdetveit
dc.contributor.author	Lyle, Robert
dc.contributor.author	Gjessing, Håkon Kristian
dc.contributor.author	Malmberg, Anni
dc.contributor.author	Magnus, Maria Christine
dc.contributor.author	Næss, Øyvind
dc.contributor.author	Czamara, Darina
dc.contributor.author	Räikkönen, Katri
dc.contributor.author	Lahti, Jari
dc.contributor.author	Magnus, Per Minor
dc.contributor.author	Håberg, Siri Eldevik
dc.contributor.author	Jugessur, Astanand
dc.contributor.author	Bohlin, Jon
dc.date.accessioned	2021-09-03T09:07:47Z
dc.date.available	2021-09-03T09:07:47Z
dc.date.created	2021-09-02T10:39:43Z
dc.date.issued	2021
dc.identifier.citation	Clinical Epigenetics. 2021, 13 (1), 1-13.
dc.identifier.issn	1868-7075
dc.identifier.uri	https://hdl.handle.net/11250/2772780
dc.language.iso	eng
dc.title	An EPIC predictor of gestational age and its application to newborns conceived by assisted reproductive technologies
dc.type	Peer reviewed
dc.type	Journal article
dc.description.version	publishedVersion
dc.source.pagenumber	1-13
dc.source.volume	13
dc.source.journal	Clinical Epigenetics
dc.source.issue	1
dc.identifier.doi	10.1186/s13148-021-01055-z.
dc.identifier.cristin	1930710
cristin.ispublished	true
cristin.fulltext	original
cristin.qualitycode	1