Collection of Prostate Cancer Families and Mapping Additional Hereditary Prostate Cancer Genes (HPC2, HPC3...)

Abstract

Segregation analyses of familial prostate cancer have supported the existence of dominantly acting prostate cancer susceptibility alleles, with such genes being estimated to be responsible for about nine percent of all cases of prostate cancer in the U.S. These findings provided the basis for our genome wide scan for linkage in hereditary prostate cancer (HPC) families (Smith et al., Science 274:1371, 1996), leading to the identification of the HPCl locus at 1q24- 25 as the first reported linkage in prostate cancer. Since this finding three other HPC loci have been identified, including our finding of the HPGX locus at Xq27-28 (Xu et al. Nat. Gen. 20:175, 1998). These results emphasize the genetic heterogeneity that characterizes HPC. To increase the power of our family collection in an effort to deal with this heterogeneity, we have collected an additional 28 HPC families, each having over 4 individuals affected with prostate cancer. We have begun genotypic analysis of these and our remaining families at a series of putative HPC loci, including loci implicated by other research groups on chromosomes 1 and 8. By accumulating linkage data on our complete set of over 190 HPC families, we will be able to understand and evaluate genetic heterogeneity of HPC, as well as to provide critical positional information for gene mapping and identification studies. Such studies are prerequisite to the development of genetic tests for determination of prostate cancer susceptibility.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1999
Accession Number
ADA385652

Entities

People

  • William B Isaacs

Organizations

  • Johns Hopkins University

Tags

DTIC Thesaurus Topics

  • Androgen Receptors
  • Chromosomes
  • Data Sets
  • Diseases And Disorders
  • Genes
  • Genetic Phenomena
  • Genetic Structures
  • Genetic Variation
  • Genetics
  • Health Services
  • Heterogeneity
  • Identification
  • Medical Personnel
  • Neoplasms
  • Prostate Cancer
  • Simulations
  • United States

Fields of Study

  • Biology

Readers

  • Molecular and genetic basis of cancer.

Technology Areas

  • Biotechnology