• Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma 

      Went, Molly; Sud, Amit; Försti, Asta; Halvarsson, Britt-Marie; Weinhold, Niels; Kimber, Scott; van Duin, Mark; Thorleifsson, Gudmar; Holroyd, Amy; Johnson, David C.; Li, Ni; Orlando, Giulia; Law, Philip J.; Ali, Mina; Chen, Bowang; Mitchell, Jonathan S.; Gudbjartsson, Daniel F.; Kuiper, Rowan; Stephens, Owen W.; Bertsch, Uta; Broderick, Peter; Campo, Chiara; Bandapalli, Obul R.; Einsele, Hermann; Gregory, Walter A.; Gullberg, Urban; Hillengass, Jens; Hoffmann, Per; Jackson, Graham H.; Jöckel, Karl-Heinz; Johnsson, Ellinor; Kristinsson, Sigurður Y.; Mellqvist, Ulf-Henrik; Nahi, Hareth; Easton, Douglas; Pharoah, Paul; Dunning, Alison; Peto, Julian; Canzian, Federico; Swerdlow, Anthony; Eeles, Rosalind A.; Kote-Jarai, ZSofia; Muir, Kenneth; Pashayan, Nora; Nickel, Jolanta; Nöthen, Markus M.; Rafnar, Thorunn; Ross, Fiona M.; da Silva Filho, Miguel Inacio; Thomsen, Hauke; Turesson, Ingemar; Vangsted, Annette; Andersen, Niels Frost; Waage, Anders; Walker, Brian A.; Wihlborg, Anna-Karin; Broyl, Annemiek; Davies, Faith E.; Thorsteinsdóttir, Unnur; Langer, Christian; Hansson, Markus; Goldschmidt, Hartmut; Kaiser, Martin; Sonneveld, Pieter; Stefansson, Kari; Morgan, Gareth J.; Hemminki, Kari; Nilsson, Björn; Houlston, Richard S. (Journal article; Peer reviewed, 2018)
      Genome-wide association studies (GWAS) have transformed our understanding of susceptibility to multiple myeloma (MM), but much of the heritability remains unexplained. We report a new GWAS, a meta-analysis with previous ...
    • Mass spectrometry for the evaluation of monoclonal proteins in multiple myeloma and related disorders: an International Myeloma Working Group Mass Spectrometry Committee Report 

      Murray, David L.; Puig, Noemi; Kristinsson, Sigurður Y.; Usmani, Saad; Dispenzieri, Angela; Bianchi, Giada; Kumar, Shaji; Chng, Wee Joo; Hajek, Roman; Paiva, Bruno; Waage, Anders; Rajkumar, S. Vincent; Durie, Brian (Peer reviewed; Journal article, 2021)
      Plasma cell disorders (PCDs) are identified in the clinical lab by detecting the monoclonal immunoglobulin (M-protein) which they produce. Traditionally, serum protein electrophoresis methods have been utilized to detect ...