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Deciphering the genetics and mechanisms of predisposition to multiple myeloma

Author

Listed:
  • Molly Went

    (The Institute of Cancer Research)

  • Laura Duran-Lozano

    (Lund University
    Lund University)

  • Gisli H. Halldorsson

    (deCODE Genetics/Amgen)

  • Andrea Gunnell

    (The Institute of Cancer Research)

  • Nerea Ugidos-Damboriena

    (Lund University
    Lund University)

  • Philip Law

    (The Institute of Cancer Research)

  • Ludvig Ekdahl

    (Lund University
    Lund University)

  • Amit Sud

    (The Institute of Cancer Research)

  • Gudmar Thorleifsson

    (deCODE Genetics/Amgen)

  • Malte Thodberg

    (Lund University
    Lund University)

  • Thorunn Olafsdottir

    (deCODE Genetics/Amgen)

  • Antton Lamarca-Arrizabalaga

    (Lund University
    Lund University)

  • Caterina Cafaro

    (Lund University
    Lund University)

  • Abhishek Niroula

    (Lund University
    Lund University)

  • Ram Ajore

    (Lund University
    Lund University)

  • Aitzkoa Lopez de Lapuente Portilla

    (Lund University
    Lund University)

  • Zain Ali

    (Lund University
    Lund University)

  • Maroulio Pertesi

    (Lund University
    Lund University)

  • Hartmut Goldschmidt

    (University of Heidelberg)

  • Lilja Stefansdottir

    (deCODE Genetics/Amgen)

  • Sigurdur Y. Kristinsson

    (National University Hospital of Iceland
    University of Iceland)

  • Simon N. Stacey

    (deCODE Genetics/Amgen)

  • Thorvardur J. Love

    (National University Hospital of Iceland
    University of Iceland)

  • Saemundur Rognvaldsson

    (National University Hospital of Iceland
    University of Iceland)

  • Roman Hajek

    (University Hospital Ostrava and University of Ostrava)

  • Pavel Vodicka

    (Academy of Sciences of the Czech Republic)

  • Ulrika Pettersson-Kymmer

    (Umeå University)

  • Florentin Späth

    (Umeå University)

  • Carolina Schinke

    (University of Arkansas for Medical Sciences)

  • Frits Van Rhee

    (University of Arkansas for Medical Sciences)

  • Patrick Sulem

    (deCODE Genetics/Amgen)

  • Egil Ferkingstad

    (deCODE Genetics/Amgen)

  • Grimur Hjorleifsson Eldjarn

    (deCODE Genetics/Amgen)

  • Ulf-Henrik Mellqvist

    (Southern Älvsborg Hospital)

  • Ingileif Jonsdottir

    (deCODE Genetics/Amgen)

  • Gareth Morgan

    (New York University)

  • Pieter Sonneveld

    (Erasmus MC Cancer Institute)

  • Anders Waage

    (Norwegian University of Science and Technology)

  • Niels Weinhold

    (University of Heidelberg
    German Cancer Research Center (DKFZ))

  • Hauke Thomsen

    (MSB Medical School Berlin)

  • Asta Försti

    (German Cancer Research Center (DKFZ)
    Hopp Children’s Cancer Center)

  • Markus Hansson

    (Lund University
    Sahlgrenska University Hospital
    Skåne University Hospital)

  • Annette Juul-Vangsted

    (University Hospital of Copenhagen at Rigshospitalet)

  • Unnur Thorsteinsdottir

    (deCODE Genetics/Amgen
    University of Iceland)

  • Kari Hemminki

    (German Cancer Research Center (DKFZ)
    Charles University)

  • Martin Kaiser

    (The Institute of Cancer Research)

  • Thorunn Rafnar

    (deCODE Genetics/Amgen)

  • Kari Stefansson

    (deCODE Genetics/Amgen
    University of Iceland)

  • Richard Houlston

    (The Institute of Cancer Research)

  • Björn Nilsson

    (Lund University
    Lund University
    Broad Institute)

Abstract

Multiple myeloma (MM) is an incurable malignancy of plasma cells. Epidemiological studies indicate a substantial heritable component, but the underlying mechanisms remain unclear. Here, in a genome-wide association study totaling 10,906 cases and 366,221 controls, we identify 35 MM risk loci, 12 of which are novel. Through functional fine-mapping and Mendelian randomization, we uncover two causal mechanisms for inherited MM risk: longer telomeres; and elevated levels of B-cell maturation antigen (BCMA) and interleukin-5 receptor alpha (IL5RA) in plasma. The largest increase in BCMA and IL5RA levels is mediated by the risk variant rs34562254-A at TNFRSF13B. While individuals with loss-of-function variants in TNFRSF13B develop B-cell immunodeficiency, rs34562254-A exerts a gain-of-function effect, increasing MM risk through amplified B-cell responses. Our results represent an analysis of genetic MM predisposition, highlighting causal mechanisms contributing to MM development.

Suggested Citation

  • Molly Went & Laura Duran-Lozano & Gisli H. Halldorsson & Andrea Gunnell & Nerea Ugidos-Damboriena & Philip Law & Ludvig Ekdahl & Amit Sud & Gudmar Thorleifsson & Malte Thodberg & Thorunn Olafsdottir &, 2024. "Deciphering the genetics and mechanisms of predisposition to multiple myeloma," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50932-7
    DOI: 10.1038/s41467-024-50932-7
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    References listed on IDEAS

    as
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