%0 Journal Article %A van Roekel, Eline H %A Trijsburg, Laura %A Assi, Nada %A Carayol, Marion %A Achaintre, David %A Murphy, Neil %A Rinaldi, Sabina %A Schmidt, Julie A %A Stepien, Magdalena %A Kaaks, Rudolf %A Kühn, Tilman %A Boeing, Heiner %A Iqbal, Khalid %A Palli, Domenico %A Krogh, Vittorio %A Tumino, Rosario %A Ricceri, Fulvio %A Panico, Salvatore %A Peeters, Petra H %A Bueno-de-Mesquita, Bas %A Ardanaz, Eva %A Lujan-Barroso, Leila %A Quirós, J Ramón %A Huerta, José M %A Molina-Portillo, Elena %A Dorronsoro, Miren %A Tsilidis, Konstantinos K %A Riboli, Elio %A Rostgaard-Hansen, Agnetha Linn %A Tjønneland, Anne %A Overvad, Kim %A Weiderpass, Elisabete %A Boutron-Ruault, Marie-Christine %A Severi, Gianluca %A Trichopoulou, Antonia %A Karakatsani, Anna %A Kotanidou, Anastasia %A Håkansson, Anders %A Malm, Johan %A Weijenberg, Matty P %A Gunter, Marc J %A Jenab, Mazda %A Johansson, Mattias %A Travis, Ruth C %A Scalbert, Augustin %A Ferrari, Pietro %T Circulating Metabolites Associated with Alcohol Intake in the European Prospective Investigation into Cancer and Nutrition Cohort. %D 2018 %U http://hdl.handle.net/10668/12500 %X Identifying the metabolites associated with alcohol consumption may provide insights into the metabolic pathways through which alcohol may affect human health. We studied associations of alcohol consumption with circulating concentrations of 123 metabolites among 2974 healthy participants from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Alcohol consumption at recruitment was self-reported through dietary questionnaires. Metabolite concentrations were measured by tandem mass spectrometry (BIOCRATES AbsoluteIDQTM p180 kit). Data were randomly divided into discovery (2/3) and replication (1/3) sets. Multivariable linear regression models were used to evaluate confounder-adjusted associations of alcohol consumption with metabolite concentrations. Metabolites significantly related to alcohol intake in the discovery set (FDR q-value %K acylcarnitines %K alcohol %K amino acids %K lipid metabolites %K targeted metabolomics %~