Nature Communications (Jul 2016)

Genome-wide association study identifies multiple susceptibility loci for multiple myeloma

  • Jonathan S. Mitchell,
  • Ni Li,
  • Niels Weinhold,
  • Asta Försti,
  • Mina Ali,
  • Mark van Duin,
  • Gudmar Thorleifsson,
  • David C. Johnson,
  • Bowang Chen,
  • Britt-Marie Halvarsson,
  • Daniel F. Gudbjartsson,
  • Rowan Kuiper,
  • Owen W. Stephens,
  • Uta Bertsch,
  • Peter Broderick,
  • Chiara Campo,
  • Hermann Einsele,
  • Walter A. Gregory,
  • Urban Gullberg,
  • Marc Henrion,
  • Jens Hillengass,
  • Per Hoffmann,
  • Graham H. Jackson,
  • Ellinor Johnsson,
  • Magnus Jöud,
  • Sigurður Y. Kristinsson,
  • Stig Lenhoff,
  • Oleg Lenive,
  • Ulf-Henrik Mellqvist,
  • Gabriele Migliorini,
  • Hareth Nahi,
  • Sven Nelander,
  • Jolanta Nickel,
  • Markus M. Nöthen,
  • Thorunn Rafnar,
  • Fiona M. Ross,
  • Miguel Inacio da Silva Filho,
  • Bhairavi Swaminathan,
  • Hauke Thomsen,
  • Ingemar Turesson,
  • Annette Vangsted,
  • Ulla Vogel,
  • Anders Waage,
  • Brian A. Walker,
  • Anna-Karin Wihlborg,
  • Annemiek Broyl,
  • Faith E. Davies,
  • Unnur Thorsteinsdottir,
  • Christian Langer,
  • Markus Hansson,
  • Martin Kaiser,
  • Pieter Sonneveld,
  • Kari Stefansson,
  • Gareth J. Morgan,
  • Hartmut Goldschmidt,
  • Kari Hemminki,
  • Björn Nilsson,
  • Richard S. Houlston

DOI
https://doi.org/10.1038/ncomms12050
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 9

Abstract

Read online

Previous genome-wide association studies have identified loci associated with the risk of multiple myeloma. Here, the authors present a meta-analysis of six genome wide association studies of the disease and identify eight new loci; functional studies identify genes as candidates for the basis of these associations.