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dc.contributor.authorAssi, Nada
dc.contributor.authorThomas, Duncan C
dc.contributor.authorLeitzman, Michael
dc.contributor.authorStepien, Magdalena
dc.contributor.authorChajes, Veronique
dc.contributor.authorPhilip, Thierry
dc.contributor.authorVineis, Paolo
dc.contributor.authorBamia, Christina
dc.contributor.authorBoutron-Ruault, Marie-Christine
dc.contributor.authorSandanger, Torkjel M
dc.contributor.authorMolinuevo, Amaia
dc.contributor.authorBoshuizen, Hendriek C
dc.contributor.authorSundkvist, Anneli
dc.contributor.authorKühn, Tilman
dc.contributor.authorTravis, Ruth C
dc.contributor.authorOvervad, Kim
dc.contributor.authorRiboli, Elio
dc.contributor.authorGunter, Marc J
dc.contributor.authorScalbert, Augustin
dc.contributor.authorJenab, Mazda
dc.contributor.authorFerrari, Pietro
dc.contributor.authorViallon, Vivian
dc.date.accessioned2018-03-29T08:13:57Z
dc.date.available2018-03-29T08:13:57Z
dc.date.issued2018-03-21
dc.identifier.citationAre metabolic signatures mediating the relationship between lifestyle factors and hepatocellular carcinoma risk? Results from a nested case-control study in EPIC. 2018 Cancer Epidemiol. Biomarkers Prev.en
dc.identifier.issn1538-7755
dc.identifier.pmid29563134
dc.identifier.doi10.1158/1055-9965.EPI-17-0649
dc.identifier.urihttp://hdl.handle.net/10029/621704
dc.description.abstractThe "meeting-in-the-middle" (MITM) is a principle to identify exposure biomarkers that are also predictors of disease. The MITM statistical framework was applied in a nested case-control study of hepatocellular carcinoma (HCC) within EPIC where healthy lifestyle index (HLI) variables were related to targeted serum metabolites.
dc.language.isoenen
dc.rightsinfo:eu-repo/semantics/closedAccessen
dc.titleAre metabolic signatures mediating the relationship between lifestyle factors and hepatocellular carcinoma risk? Results from a nested case-control study in EPIC.en
dc.typeArticleen
dc.identifier.journalCancer Epidemiol Biomarkers Prev 2018; 27(5):531-40en
html.description.abstractThe "meeting-in-the-middle" (MITM) is a principle to identify exposure biomarkers that are also predictors of disease. The MITM statistical framework was applied in a nested case-control study of hepatocellular carcinoma (HCC) within EPIC where healthy lifestyle index (HLI) variables were related to targeted serum metabolites.


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