• BEtablocker Treatment After acute Myocardial Infarction in revascularized patients without reduced left ventricular ejection fraction (BETAMI): Rationale and design of a prospective, randomized, open, blinded end point study 

      Munkhaugen, John; Ruddox, Vidar; Halvorsen, Sigrun; Dammen, Toril; Fagerland, Morten; Hernæs, Kjersti Helene; Vethe, Nils Tore; Prescott, Eva; Jensen, Svend Eggert; Rødevand, Olaf; Jortveit, Jarle; Bendz, Bjørn; Schirmer, Henrik; Kõber, Lars; Botker, Hans Erik; Larsen, Alf Inge; Vikenes, Kjell; Steigen, Terje; Wiseth, Rune; Pedersen, Terje Rolf; Edvardsen, Thor; Otterstad, Jan Erik; Atar, Dan (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-10-25)
      <p><i>Background - </i>Current guidelines on the use of β-blockers in post–acute myocardial infarction (MI) patients without reduced left ventricular ejection fraction (LVEF) are based on studies before the implementation of modern reperfusion and secondary prevention therapies. It remains unknown whether β-blockers will reduce mortality and recurrent MI in contemporary revascularized post-MI patients ...
    • Coding variants in RPL3L and MYZAP increase risk of atrial fibrillation 

      Thorolfsdottir, Rosa B; Sveinbjornsson, Gardar; Sulem, Patrick; Nielsen, Jonas B.; Jonsson, Stefan; Halldorsson, Gisli H; Melsted, Pall; Ivarsdottir, Erna V; Davidsson, Olafur B; Kristjansson, Ragnar P; Thorleifsson, Gudmar; Helgadottir, Anna; Gretarsdottir, Solveig; Norddahl, Gudmundur; Rajamani, Sridharan; Torfason, Bjarni; Valgardsson, Atli S; Sverrisson, Jon T.; Tragante, Vinicius; Holmen, Oddgeir Lingaas; Asselbergs, Folkert W; Roden, Dan M; Darbar, Dawood; Pedersen, Terje Rolf; Sabatine, Marc S.; Willer, Cristen J.; Løchen, Maja-Lisa; Halldorsson, Bjarni V; Jonsdottir, Ingileif; Hveem, Kristian; Arnar, David O; Thorsteinsdottir, Unnur; Gudbjartsson, Daniel F.; Holm, Hilma; Stefansson, Kari (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-06-12)
      Most sequence variants identified hitherto in genome-wide association studies (GWAS) of atrial fibrillation are common, non-coding variants associated with risk through unknown mechanisms. We performed a meta-analysis of GWAS of atrial fibrillation among 29,502 cases and 767,760 controls from Iceland and the UK Biobank with follow-up in samples from Norway and the US, focusing on low-frequency coding ...