Genome-wide association study identifies variation at 6q25.1 associated with survival in multiple myeloma

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.

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Portfolio 2016-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/ncomms10290
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author 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
author_facet 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
author_sort David C. Johnson
collection DOAJ
description 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.
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spelling doaj.art-7295b3d0d9804f8f8eee173bdad4235a2022-12-21T23:00:40ZengNature PortfolioNature Communications2041-17232016-01-01711710.1038/ncomms10290Genome-wide association study identifies variation at 6q25.1 associated with survival in multiple myelomaDavid C. Johnson0Niels Weinhold1Jonathan S. Mitchell2Bowang Chen3Martin Kaiser4Dil B. Begum5Jens Hillengass6Uta Bertsch7Walter A. Gregory8David Cairns9Graham H. Jackson10Asta Försti11Jolanta Nickel12Per Hoffmann13Markus M. Nöethen14Owen W. Stephens15Bart Barlogie16Faith E. Davis17Kari Hemminki18Hartmut Goldschmidt19Richard S. Houlston20Gareth J. Morgan21Division of Molecular Pathology, The Institute of Cancer ResearchMyeloma Institute, University of Arkansas for Medical SciencesDivision of Genetics and Epidemiology, The Institute of Cancer ResearchGerman Cancer Research CenterDivision of Molecular Pathology, The Institute of Cancer ResearchDivision of Molecular Pathology, The Institute of Cancer ResearchDepartment of Internal Medicine V, University of HeidelbergDepartment of Internal Medicine V, University of HeidelbergLeeds Institute of Molecular Medicine, Section of Clinical Trials Research, University of LeedsLeeds Institute of Molecular Medicine, Section of Clinical Trials Research, University of LeedsDepartment of Haematology, Newcastle UniversityGerman Cancer Research CenterDepartment of Internal Medicine V, University of HeidelbergInstitute of Human Genetics, University of BonnInstitute of Human Genetics, University of BonnMyeloma Institute, University of Arkansas for Medical SciencesMyeloma Institute, University of Arkansas for Medical SciencesMyeloma Institute, University of Arkansas for Medical SciencesGerman Cancer Research CenterDepartment of Internal Medicine V, University of HeidelbergDivision of Molecular Pathology, The Institute of Cancer ResearchMyeloma Institute, University of Arkansas for Medical SciencesThe 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.https://doi.org/10.1038/ncomms10290
spellingShingle 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
Genome-wide association study identifies variation at 6q25.1 associated with survival in multiple myeloma
Nature Communications
title Genome-wide association study identifies variation at 6q25.1 associated with survival in multiple myeloma
title_full Genome-wide association study identifies variation at 6q25.1 associated with survival in multiple myeloma
title_fullStr Genome-wide association study identifies variation at 6q25.1 associated with survival in multiple myeloma
title_full_unstemmed Genome-wide association study identifies variation at 6q25.1 associated with survival in multiple myeloma
title_short Genome-wide association study identifies variation at 6q25.1 associated with survival in multiple myeloma
title_sort genome wide association study identifies variation at 6q25 1 associated with survival in multiple myeloma
url https://doi.org/10.1038/ncomms10290
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