Schäfer, Andreas 
; Hughes, Maria F. ; Saarela, Olli ; Stritzke, Jan ; Kee, Frank ; Silander, Kaisa ; Klopp, Norman ; Kontto, Jukka ; Karvanen, Juha ; Willenborg, Christina ; Salomaa, Veikko ; Virtamo, Jarmo ; Amouyel, Phillippe ; Arveiler, Dominique ; Ferrières, Jean ; Wiklund, Per-Gunner ; Baumert, Jens ; Thorand, Barbara ; Diemert, Patrick ; Trégouët, David-Alexandre ; Hengstenberg, Christian ; Peters, Annette ; Evans, Alun ; Koenig, Wolfgang ; Erdmann, Jeanette ; Samani, Nilesh J. ; Kuulasmaa, Kari ; Schunkert, Heribert
; Hughes, Maria F. ; Saarela, Olli ; Stritzke, Jan ; Kee, Frank ; Silander, Kaisa ; Klopp, Norman ; Kontto, Jukka ; Karvanen, Juha ; Willenborg, Christina ; Salomaa, Veikko ; Virtamo, Jarmo ; Amouyel, Phillippe ; Arveiler, Dominique ; Ferrières, Jean ; Wiklund, Per-Gunner ; Baumert, Jens ; Thorand, Barbara ; Diemert, Patrick ; Trégouët, David-Alexandre ; Hengstenberg, Christian ; Peters, Annette ; Evans, Alun ; Koenig, Wolfgang ; Erdmann, Jeanette ; Samani, Nilesh J. ; Kuulasmaa, Kari ; Schunkert, Heribert 
Zusammenfassung
Background: More accurate coronary heart disease (CHD) prediction, specifically in middle-aged men, is needed to reduce the burden of disease more effectively. We hypothesised that a multilocus genetic risk score could refine CHD prediction beyond classic risk scores and obtain more precise risk estimates using a prospective cohort design. Methods: Using data from nine prospective European ...
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