Genetic Susceptibility Variants for Chronic Lymphocytic Leukemia
Year: 2010
Type: article
Study design: Observational Study
Abstract: BACKGROUND: There is strong and consistent evidence that a genetic component contributes to the etiology of chronic lymphocytic leukemia (CLL). A recent genome-wide association study of CLL identified seven genetic variants that increased the risk of CLL within a European population. METHODS: We evaluated the association of these variants, or variants in linkage disequilibrium with these variants, with CLL risk in an independent sample of 438 CLL cases and 328 controls. RESULTS: Of these seven single nucleotide polymorphisms (SNP), six had P trend < 0.05 and had estimated odds ratios (OR) that were strikingly comparable to those of the previous study. Associations were seen for rs9378805 [OR, 1.47; 95% confidence intervals (CI), 1.19-1.80; P trend = 0.0003] near IRF4 and rs735665 near GRAMD1B (OR, 1.47; 95% CI, 1.14-1.89; P trend = 0.003). However, no associations (P > 0.05) were found for rs11083846, nor were any found for any SNP in linkage disequilibrium with rs11083846. CONCLUSIONS: Our results confirm the previous findings and further support the role of a genetic basis in the etiology of CLL; however, more research is needed to elucidate the causal SNP(s) and the potential manner in which these SNPs or linked SNPs function in CLL pathogenesis.
Authors: Susan L. Slager, Lynn R. Goldin, Sara S. Strom, Mark C. Lanasa, Logan G. Spector, Laura Rassenti, Jose F. Leis, Nicola J. Camp, Neil E. Kay, Celine M. Vachon, Martha Glenn, J. Brice Weinberg, Kari G. Rabe, Julie M. Cunningham, Sara J. Achenbach, Curtis A. Hanson, Gerald E. Marti, Timothy G. Call, Neil E. Caporaso, James R. Cerhan
Institutions: University of Minnesota, United States Food and Drug Administration, Mayo Clinic, The University of Texas MD Anderson Cancer Center, University of Utah, University of California San Diego, Duke Medical Center, National Cancer Institute, Moores Cancer Center, Division of Cancer Epidemiology and Genetics
Language: English
Subfield: Genetics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W2168434073