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REPORT DATE
01-04-2007
REPORT TYPE
5e. TASK NUMBEREmail: tkrontiris@coh.org 5f. WORK UNIT NUMBER
PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. PERFORMING ORGANIZATION REPORT NUMBERBeckman Research Institute of the City of Hope Duarte, CA 91010
SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR'S ACRONYM(S)
U.S. Army Medical Research and Materiel Command Fort Detrick, Maryland 21702-5012
SPONSOR/MONITOR'S REPORT NUMBER(S)
DISTRIBUTION / AVAILABILITY STATEMENTApproved for Public Release; Distribution Unlimited
SUPPLEMENTARY NOTES
ABSTRACTWe have employed a large prostate cancer affected sibling pair cohort for candidate gene based linkage analyses. In this work we sought to enlarge a pre-existing cohort of CaP (Prostate Cancer) ASP with continued institutional recruitment of brothers affected with disease. We performed candidate gene based fine structure linkage analysis on approximately 2 dozen genes previously implicated in CaP risk. We also tested gene x gene interactions with a new paradigm based upon allele sharing enrichment. Our major finding was the localization of a susceptibility locus to intron 5 of the FHIT gene. By utilizing a combination of extensive mutation/single nucleotide polymorphism (SNP) discovery efforts in select disease cases in conjunction with linkage disequilibrium (LD) mapping and association testing we identified a SNP, rs760317, showing strong association with disease in affected brothers sharing 2 alleles identify by descent (IBD). The findings were published in 2005 and have recently been replicated by independent researchers in both a family-based Caucasian patient cohort and an African American patient cohort. Our efforts represent a significant accomplishment in the identification of a new gene associated with CaP risk as quite often promising initial linkage or association results fail to be replicated in independent studies. We continue our efforts today with the hope of finding the causative allele(s) in FHIT and it/their possible function using population genetic tools. This represents extreme challenges as the mechanistic basis for how disease all...