Inherited genetic susceptibility to multiple myeloma

Although the familial clustering of multiple myeloma (MM) supports the role of inherited susceptibility, only recently has direct evidence for genetic predisposition been demonstrated. A meta-analysis of two genome-wide association (GWA) studies has identified single-nucleotide polymorphisms (SNPs)...

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Bibliographic Details
Published in:	Leukemia Vol. 28; no. 3; pp. 518 - 524
Main Authors:	Morgan, G J, Johnson, D C, Weinhold, N, Goldschmidt, H, Landgren, O, Lynch, H T, Hemminki, K, Houlston, R S
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 01-03-2014 Nature Publishing Group
Subjects:	631/208/727/2000 692/420/2489/144/68 692/699/67/1990/804 African Americans Benign monoclonal gammopathy Cancer and Oncology Cancer och onkologi Cancer Research Clinical Medicine Clustering Critical Care Medicine Epidemiology Female Genetic analysis Genetic aspects Genetic Predisposition to Disease Genetic research Genetic susceptibility Hematology Humans Intensive Internal Medicine Klinisk medicin Leukemia Male Medical and Health Sciences Medical research Medicin och hälsovetenskap Medicine Medicine & Public Health Meta-analysis MGUS Multiple myeloma Multiple Myeloma - genetics myeloma Nucleotides Oncology Pathology Pedigree review Reviews Risk analysis Risk factors Single-nucleotide polymorphism SNP White people Sweden United Kingdom > UK United States > US Germany SNP MGUS myeloma
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Summary:	Although the familial clustering of multiple myeloma (MM) supports the role of inherited susceptibility, only recently has direct evidence for genetic predisposition been demonstrated. A meta-analysis of two genome-wide association (GWA) studies has identified single-nucleotide polymorphisms (SNPs) localising to a number of genomic regions that are robustly associated with MM risk. In this review, we provide an overview of the evidence supporting a genetic contribution to the predisposition to MM and MGUS (monoclonal gammopathy of unknown significance), and the insight this gives into the biological basis of disease aetiology. We also highlight the promise of future approaches to identify further specific risk factors and their potential clinical utility.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1 ObjectType-Feature-1
ISSN:	0887-6924 1476-5551 1476-5551
DOI:	10.1038/leu.2013.344