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

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

Multiple myeloma is a cancer of the plasma cells, and the complete aetiology of the disease is still unclear. Here the authors perform an additional GWAS analysis followed by a meta-analysis with existing GWAS and replication genotyping and identify 6 novel risk loci and utilise gene expression, epi...

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Autores principales: Molly Went, Amit Sud, Asta Försti, Britt-Marie Halvarsson, Niels Weinhold, Scott Kimber, Mark van Duin, Gudmar Thorleifsson, Amy Holroyd, David C. Johnson, Ni Li, Giulia Orlando, Philip J. Law, Mina Ali, Bowang Chen, Jonathan S. Mitchell, Daniel F. Gudbjartsson, Rowan Kuiper, Owen W. Stephens, Uta Bertsch, Peter Broderick, Chiara Campo, Obul R Bandapalli, Hermann Einsele, Walter A. Gregory, Urban Gullberg, Jens Hillengass, Per Hoffmann, Graham H. Jackson, Karl-Heinz Jöckel, Ellinor Johnsson, Sigurður Y. Kristinsson, Ulf-Henrik Mellqvist, Hareth Nahi, Douglas Easton, Paul Pharoah, Alison Dunning, Julian Peto, Federico Canzian, Anthony Swerdlow, Rosalind A. Eeles, ZSofia Kote-Jarai, Kenneth Muir, Nora Pashayan, Jolanta Nickel, Markus M. Nöthen, Thorunn Rafnar, Fiona M. Ross, Miguel Inacio da Silva Filho, Hauke Thomsen, Ingemar Turesson, Annette Vangsted, Niels Frost Andersen, Anders Waage, Brian A. Walker, Anna-Karin Wihlborg, Annemiek Broyl, Faith E. Davies, Unnur Thorsteinsdottir, Christian Langer, Markus Hansson, Hartmut Goldschmidt, Martin Kaiser, Pieter Sonneveld, Kari Stefansson, Gareth J. Morgan, Kari Hemminki, Björn Nilsson, Richard S. Houlston, The PRACTICAL consortium
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Science
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Acceso en línea:https://doaj.org/article/af73d8d01835421aac1fd29b48af6093
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Sumario:Multiple myeloma is a cancer of the plasma cells, and the complete aetiology of the disease is still unclear. Here the authors perform an additional GWAS analysis followed by a meta-analysis with existing GWAS and replication genotyping and identify 6 novel risk loci and utilise gene expression, epigenetic profiling and in situ Hi-C data to further our understanding of MM susceptibility.

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