Sedlmeier, Anja M. ; Viallon, Vivian ; Ferrari, Pietro 
; Peruchet-Noray, Laia ; Fontvieille, Emma ; Amadou, Amina ; Seyed Khoei, Nazlisadat ; Weber, Andrea ; Baurecht, Hansjörg ; Heath, Alicia K. ; Tsilidis, Kostas ; Kaaks, Rudolf ; Katzke, Verena ; Inan-Eroglu, Elif ; Schulze, Matthias B. ; Overvad, Kim ; Bonet, Catalina ; Ubago-Guisado, Esther ; Chirlaque, María-Dolores ; Ardanaz, Eva ; Perez-Cornago, Aurora ; Pala, Valeria ; Tumino, Rosario ; Sacerdote, Carlotta ; Pasanisi, Fabrizio ; Borch, Kristin B. ; Rylander, Charlotta ; Weiderpass, Elisabete ; Gunter, Marc J. ; Fervers, Béatrice ; Leitzmann, Michael F. ; Freisling, Heinz
; Peruchet-Noray, Laia ; Fontvieille, Emma ; Amadou, Amina ; Seyed Khoei, Nazlisadat ; Weber, Andrea ; Baurecht, Hansjörg ; Heath, Alicia K. ; Tsilidis, Kostas ; Kaaks, Rudolf ; Katzke, Verena ; Inan-Eroglu, Elif ; Schulze, Matthias B. ; Overvad, Kim ; Bonet, Catalina ; Ubago-Guisado, Esther ; Chirlaque, María-Dolores ; Ardanaz, Eva ; Perez-Cornago, Aurora ; Pala, Valeria ; Tumino, Rosario ; Sacerdote, Carlotta ; Pasanisi, Fabrizio ; Borch, Kristin B. ; Rylander, Charlotta ; Weiderpass, Elisabete ; Gunter, Marc J. ; Fervers, Béatrice ; Leitzmann, Michael F. ; Freisling, Heinz 
Zusammenfassung
Background: Classical anthropometric traits may fail to fully represent the relationship of weight, adiposity, and height with cancer risk. We investigated the associations of body shape phenotypes with the risk of overall and site-specific cancers. Methods: We derived four distinct body shape phenotypes from principal component (PC) analysis on height, weight, body mass index (BMI), waist (WC) ...
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