• A new pipeline for the normalization and pooling of metabolomics data 

      Viallon, Vivian; His, Mathilde; Rinaldi, Sabina; Breeur, Marie; Gicquiau, Audrey; Hémon, Bertrand; Overvad, Kim; Tjønneland, Anne; Rostgaard-Hansen, Agnetha Linn; Rothwell, Joseph A.; Lecuyer, Lucie; Severi, Gianluca; Kaaks, Rudolf; Johnson, Theron; Schulze, Matthias B.; Palli, Domenico; Agnoli, Claudia; Panico, Salvatore; Tumino, Rosaria; Ricceri, Fulvio; Monique Verschuren, Verschuren; Engelfriet, Peter; Onland-Moret, Charlotte; Vermeulen, Roel; Nøst, Therese Haugdahl; Urbarova, Ilona; Zamora-Ros, Raul; Rodríguez-Barranco, Miguel; Amiano, Pilar; Huerta, José María; Ardanaz, Eva; Melander, Olle; Ottoson, Filip; Vidman, Linda; Rentoft, Matilda; Schmidt, Julie A.; Travis, Ruth C.; Weiderpass, Elisabete; Johansson, Mattias; Dossus, Laure; Jenab, Mazda; Gunter, Marc; Bermejo, Justo Lorenzo; Scherer, Dominique; Salek, Reza M.; Keski-Rahkonen, Pekka; Ferrari, Pietro (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-09-17)
    • Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition 

      Breeur, Marie; Ferrari, Pietro; Dossus, Laure; Jenab, Mazda; Johansson, Mattias; Rinaldi, Sabina; Travis, Ruth C.; His, Mathilde; Key, Tim J.; Schmidt, Julie A.; Overvad, Kim; Tjønneland, Anne; Kyrø, Cecilie; Rothwell, Joseph A.; Laouali, Nasser; Severi, Gianluca; Kaaks, Rudolf; Katzke, Verena; Schulze, Matthias B.; Eichelmann, Fabian; Palli, Domenico; Grioni, Sara; Panico, Salvatore; Tumino, Rosario; Sacerdote, Carlotta; Bueno-de-Mesquita, Bas; Olsen, Karina Standahl; Sandanger, Torkjel M; Nøst, Therese Haugdahl; Quirós, J. Ramón; Bonet, Catalina; Barranco, Miguel Rodríguez; Chirlaque, María-Dolores; Ardanaz, Eva; Sandsveden, Malte; Manjer, Jonas; Vidman, Linda; Rentoft, Matilda; Muller, David; Tsilidis, Kostas; Heath, Alicia K.; Keun, Hector; Adamski, Jerzy; Keski-Rahkonen, Pekka; Scalbert, Augustin; Gunter, Marc J.; Viallon, Vivian (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-10-19)
      Background - Epidemiological studies of associations between metabolites and cancer risk have typically focused on specific cancer types separately. Here, we designed a multivariate pan-cancer analysis to identify metabolites potentially associated with multiple cancer types, while also allowing the investigation of cancer type-specific associations.<p> <p>Methods - We analysed targeted metabolomics ...