Chronic lymphocytic leukemia (CLL) is a neoplasm of the blood and is the most common form of adult leukemia in Caucasians in the Western countries. The evidence is great that a genetic component exists in the etiology of CLL, with the disease having amongst the highest familial risk of any cancer. Paradoxically despite this strong familial basis, the genetics of CLL disease is largely unknown. Further, there is profound heterogeneity in the clinical outcome among early-stage CLL patients. Biological characteristics of CLL have been found to predict survival in these early-stage patients, but to date, the role of inherited genetic variation as a determinant of CLL prognosis has received scant attention. Previous genetic studies have had limited success in elucidating the genetic components of CLL risk and progression, in large part due to low statistical power. Because CLL is relatively rare with approximately 4.1 new cases per 100,000 persons per year, a pooling effort is needed to achieve requisite statistical power. We have the opportunity to address this need efficiently and rapidly by exploiting four CLL studies with genome-wide association (GWA) data. In this application, we propose to maximize the sample size by combining data from four CLL GWA studies that are available, thereby providing data on approximately 3000 CLL cases and 13,000 controls. In addition, we will investigate the genetic determinants of CLL survival and progression in studies for which follow-up data is available. This research effort will yield an unprecedented genetic study of CLL risk and prognosis.
Our Specific Aims are:
(Aim 1) To combine data from four GWA studies in order to identify genetic variants associated with CLL risk.
(Aim 2) To perform fine mapping of confirmed loci from Aim 1 to further refine and potentially identify causal variants.
(Aim 3) To use the combined GWA data from Aim 1 in order to identify genetic variants that are associated with CLL prognosis. Our proposal combines genotype and phenotype data from four GWA studies. These studies constitute unique and synergistic resources that afford us the opportunity to efficiently test our hypotheses with the potential for rapid application. At the completion of this project, we expect to identify additional novel loci influencing CLL risk that could not have been identified by the individual GWA studies, improve the evidence of associations of findings identified from individual studies, and identify novel loci influencing CLL prognosis. Collectively, our findings will provide for a better understanding of CLL pathobiology and may lead to novel therapeutic approaches to treating CLL, as well as the development of etiological hypotheses.

Public Health Relevance

Genes for Chronic Lymphocytic Leukemia (CLL) predispose men and women to increased risk of CLL, and may affect clinical outcome. Identifying and understanding these genes will inform our limited biology of CLL, as well as improve risk prediction and stratification, and may enable identification of patients who will benefit from early prevention strategies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
1R01CA148690-01
Application #
7862888
Study Section
Epidemiology of Cancer Study Section (EPIC)
Program Officer
Mechanic, Leah E
Project Start
2010-04-01
Project End
2013-03-31
Budget Start
2010-04-01
Budget End
2011-03-31
Support Year
1
Fiscal Year
2010
Total Cost
$589,167
Indirect Cost
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
006471700
City
Rochester
State
MN
Country
United States
Zip Code
55905
Wang, Sophia S; Carrington, Mary; Berndt, Sonja I et al. (2018) HLA Class I and II Diversity Contributes to the Etiologic Heterogeneity of Non-Hodgkin Lymphoma Subtypes. Cancer Res 78:4086-4096
Law, Philip J; Berndt, Sonja I; Speedy, Helen E et al. (2017) Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia. Nat Commun 8:14175
Machiela, Mitchell J; Lan, Qing; Slager, Susan L et al. (2016) Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes. Hum Mol Genet 25:1663-76
Berndt, Sonja I; Camp, Nicola J; Skibola, Christine F et al. (2016) Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia. Nat Commun 7:10933
Di Bernardo, Maria Chiara; Broderick, Peter; Catovsky, Daniel et al. (2013) Common genetic variation contributes significantly to the risk of developing chronic lymphocytic leukemia. Haematologica 98:e23-4
Slager, Susan L; Achenbach, Sara J; Asmann, Yan W et al. (2013) Mapping of the IRF8 gene identifies a 3'UTR variant associated with risk of chronic lymphocytic leukemia but not other common non-Hodgkin lymphoma subtypes. Cancer Epidemiol Biomarkers Prev 22:461-6
Slager, Susan L; Caporaso, Neil E; de Sanjose, Silvia et al. (2013) Genetic susceptibility to chronic lymphocytic leukemia. Semin Hematol 50:296-302
Slager, Susan L; Skibola, Christine F; Di Bernardo, Maria Chiara et al. (2012) Common variation at 6p21.31 (BAK1) influences the risk of chronic lymphocytic leukemia. Blood 120:843-6
Slager, Susan L; Camp, Nicola J; Conde, Lucia et al. (2012) Common variants within 6p21.31 locus are associated with chronic lymphocytic leukaemia and, potentially, other non-Hodgkin lymphoma subtypes. Br J Haematol 159:572-6