Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2013 May;45(5):522-525.
doi: 10.1038/ng.2583. Epub 2013 Mar 17.

The CCND1 c.870G>A polymorphism is a risk factor for t(11;14)(q13;q32) multiple myeloma

Affiliations
Comparative Study

The CCND1 c.870G>A polymorphism is a risk factor for t(11;14)(q13;q32) multiple myeloma

Niels Weinhold et al. Nat Genet. 2013 May.

Abstract

A number of specific chromosomal abnormalities define the subgroups of multiple myeloma. In a meta-analysis of two genome-wide association studies of multiple myeloma including a total of 1,661 affected individuals, we investigated risk for developing a specific tumor karyotype. The t(11;14)(q13;q32) translocation in which CCND1 is placed under the control of the immunoglobulin heavy chain enhancer was strongly associated with the CCND1 c.870G>A polymorphism (P = 7.96 × 10(-11)). These results provide a model in which a constitutive genetic factor is associated with risk of a specific chromosomal translocation.

PubMed Disclaimer

Conflict of interest statement

Statement The authors declare no competing financial interests.

Figures

Figure 1
Figure 1. Regional plot of association results and recombination rates around the CCND1 locus at chromosome 11q13.
Triangles denote directly typed SNPs and circles imputed SNPs. −log10 P values (y axis) of the SNPs are shown according to their chromosomal positions (x axis). The color intensity of each symbol reflects the extent of LD with rs603965, from white (r2 = 0) to dark red (r2 = 1.0). Genetic recombination rates, estimated using HapMap CEU samples, are shown with a light blue line. Physical positions are based on NCBI build 37 of the human genome. Genes have been redrawn to show their relative positions; therefore, maps are not to physical scale.

References

    1. Anderson KC, Carrasco RD. Pathogenesis of myeloma. Annu Rev Pathol. 2011;6:249–74. - PubMed
    1. Morgan GJ, Walker BA, Davies FE. The genetic architecture of multiple myeloma. Nat Rev Cancer. 2012;12:335–48. - PubMed
    1. Sawyer J. The prognostic significance of cytogenetics and molecular profiling in multiple myeloma. Cancer Genet. 2011;204:3–12. - PubMed
    1. Broderick P, et al. Common variation at 3p22.1 and 7p15.3 influences multiple myeloma risk. Nat Genet. 2012;44:58–61. - PMC - PubMed
    1. Power C, Elliott J. Cohort profile: 1958 British birth cohort (National Child Development Study) Int J Epidemiol. 2006;35:34–41. - PubMed

Publication types