Title |
Identification of Loci Modifying Atm Lymphomagenesis
|
Institution |
COLORADO STATE UNIVERSITY, FORT COLLINS, CO
|
Principal Investigator |
WEIL, MICHAEL
|
NCI Program Director |
Fingerman
|
Cancer Activity |
DNA Chromosome Aberrations
|
Division |
DCB
|
Funded Amount |
$343,463
|
Project Dates |
07/13/2015 - 06/30/2018
|
Fiscal Year |
2017
|
Project Type |
Grant
|
Research Topics w/ Percent Relevance |
Cancer Types w/ Percent Relevance |
Ataxia Telangiectasia (100.0%)
Cancer (100.0%)
|
Leukemia (50.0%)
Non Hodgkins Lymphoma (50.0%)
|
Research Type |
Cancer Initiation: Alterations in Chromosomes
|
Abstract |
"? DESCRIPTION (provided by applicant): Ataxia-telangiectasia (A-T) is a heritable syndrome associated with a high risk for leukemia and lymphoma. The syndrome arises in individuals with two defective copies of the ATM gene, but whether a specific A-T patient develops leukemia or lymphoma appears to be controlled not by their ATM mutation(s), but by unknown modifier genes. In the Atm knockout mouse model of A-T, lymphoma incidence and latency depend on the inbred mouse strain carrying the Atm knockout alleles, which is further evidence that modifier genes control leukemia/lymphoma latency and incidence. Our long term objective is to identify these modifier genes in mice and determine if their human homologues play a role in leukemia or lymphoma susceptibility in A-T patients or in patients with sporadic hematological malignancies. The specific aims of this proposal are to map the modifier genes in the mouse A-T model at high resolution (between 20 kb and 2 Mb) and then rank the genetic polymorphisms in the mapped regions according to their likely roles in lymphomagenesis. The mapping will be accomplished using a novel approach which combines the high mapping resolution of murine heterogeneous stocks with the use of a genetically modified allele. The Atm knockout allele will be introgressed into HS/Npt heterogeneous stock mice through two breeding generations. Mice homozygous for the knockout allele will be monitored for lymphoma development and latency, and genotyped for about 78,000 SNPs. Loci controlling lymphoma susceptibility and latency will be identified using an analysis of molecular variance approach modified to account for the breeding strategy needed to introduce the knockout allele. Genes in the mapped regions that are likely to be involved in lymphomagenesis will be identified using bioinformatics approaches and the effects of sequence variations within these genes will be assessed by gene expression studies in lymphoid cells and loss of heterozygosity studies in lymphomas. " |