Linkage analysis of 150 high-risk prostate cancer families at 1q24-25

Ellen L. Goode, Janet L. Stanford, Lisa Chakrabarti, Mark Gibbs, Suzanne Kolb, Richard A. McIndoe, Valerie A. Buckley, Eugene F. Schuster, Cassandra L. Neal, Elizabeth L. Miller, Susan Brandzel, Leroy Hood, Elaine A. Ostrander, Gail P. Jarvik

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

Confirmation of linkage and estimation of the proportion of families who are linked in large independent datasets is essential to understanding the significance of cancer susceptibility genes. We report here on an analysis of 150 high-risk prostate cancer families (2,176 individuals) for potential linkage to the HPC1 prostate cancer susceptibility locus at 1q24-25. This dataset includes 640 affected men with an average age at prostate cancer diagnosis of 66.8 years (range, 39-94), representing the largest collection of high-risk families analyzed for linkage in this region to date. Linkage to multiple 1q24-25 markers was strongly rejected for the sample as a whole (lod scores at theta = 0 ranged from -30.83 to -18.42). Assuming heterogeneity, the estimated proportion of families linked (alpha) at HPC1 in the entire dataset was 2.6%, using multipoint analysis. Because locus heterogeneity may lead to false rejection of linkage, data were stratified based on homogeneous subsets. When restricted to 21 Caucasian families with five or more affected family members and mean age at diagnosis < = 65 years, the lod scores at theta = 0 remained less than -4.0. These results indicate that the overall portion of hereditary prostate cancer families whose disease is due to inherited variation in HPC1 may be less than originally estimated. (C) 2000 Wiley-Liss, Inc.

Original languageEnglish (US)
Pages (from-to)251-275
Number of pages25
JournalGenetic Epidemiology
Volume18
Issue number3
DOIs
StatePublished - Mar 2000
Externally publishedYes

Keywords

  • Chromosome 1q
  • HPC1
  • Tumor suppressor

ASJC Scopus subject areas

  • Epidemiology
  • Genetics(clinical)

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