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

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

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 th...

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Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2016
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Science
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Acceso en línea:https://doaj.org/article/c3cfde00727b4a92a967fbff352be77c
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Sumario: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.

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