Nature Communications (Jan 2016)
Genome-wide association study identifies variation at 6q25.1 associated with survival in multiple myeloma
- David C. Johnson,
- Niels Weinhold,
- Jonathan S. Mitchell,
- Bowang Chen,
- Martin Kaiser,
- Dil B. Begum,
- Jens Hillengass,
- Uta Bertsch,
- Walter A. Gregory,
- David Cairns,
- Graham H. Jackson,
- Asta Försti,
- Jolanta Nickel,
- Per Hoffmann,
- Markus M. Nöethen,
- Owen W. Stephens,
- Bart Barlogie,
- Faith E. Davis,
- Kari Hemminki,
- Hartmut Goldschmidt,
- Richard S. Houlston,
- Gareth J. Morgan
Affiliations
- David C. Johnson
- Division of Molecular Pathology, The Institute of Cancer Research
- Niels Weinhold
- Myeloma Institute, University of Arkansas for Medical Sciences
- Jonathan S. Mitchell
- Division of Genetics and Epidemiology, The Institute of Cancer Research
- Bowang Chen
- German Cancer Research Center
- Martin Kaiser
- Division of Molecular Pathology, The Institute of Cancer Research
- Dil B. Begum
- Division of Molecular Pathology, The Institute of Cancer Research
- Jens Hillengass
- Department of Internal Medicine V, University of Heidelberg
- Uta Bertsch
- Department of Internal Medicine V, University of Heidelberg
- Walter A. Gregory
- Leeds Institute of Molecular Medicine, Section of Clinical Trials Research, University of Leeds
- David Cairns
- Leeds Institute of Molecular Medicine, Section of Clinical Trials Research, University of Leeds
- Graham H. Jackson
- Department of Haematology, Newcastle University
- Asta Försti
- German Cancer Research Center
- Jolanta Nickel
- Department of Internal Medicine V, University of Heidelberg
- Per Hoffmann
- Institute of Human Genetics, University of Bonn
- Markus M. Nöethen
- Institute of Human Genetics, University of Bonn
- Owen W. Stephens
- Myeloma Institute, University of Arkansas for Medical Sciences
- Bart Barlogie
- Myeloma Institute, University of Arkansas for Medical Sciences
- Faith E. Davis
- Myeloma Institute, University of Arkansas for Medical Sciences
- Kari Hemminki
- German Cancer Research Center
- Hartmut Goldschmidt
- Department of Internal Medicine V, University of Heidelberg
- Richard S. Houlston
- Division of Molecular Pathology, The Institute of Cancer Research
- Gareth J. Morgan
- Myeloma Institute, University of Arkansas for Medical Sciences
- DOI
- https://doi.org/10.1038/ncomms10290
- Journal volume & issue
-
Vol. 7,
no. 1
pp. 1 – 7
Abstract
The prognosis of multiple myeloma patients varies widely. Here, to identify genetic factors associated with differing prognoses, the authors carried out a meta-analysis of four genome-wide association studies and identified a risk variant associated with survival interval.