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Pairwise shared genomic segment analysis in three Utah high-risk breast cancer pedigrees

Overview of attention for article published in BMC Genomics, November 2012
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Title
Pairwise shared genomic segment analysis in three Utah high-risk breast cancer pedigrees
Published in
BMC Genomics, November 2012
DOI 10.1186/1471-2164-13-676
Pubmed ID
Authors

Zheng Cai, Alun Thomas, Craig Teerlink, James M Farnham, Lisa A Cannon-Albright, Nicola J Camp

Abstract

We applied a new weighted pairwise shared genomic segment (pSGS) analysis for susceptibility gene localization to high-density genomewide SNP data in three extended high-risk breast cancer pedigrees. Using this method, four genomewide suggestive regions were identified on chromosomes 2, 4, 7 and 8, and a borderline suggestive region on chromosome 14. Seven additional regions with at least nominal evidence were observed. Of particular note among these total twelve regions were three regions that were identified in two pedigrees each; chromosomes 4, 7 and 14. Follow-up two-pedigree pSGS analyses further indicated excessive genomic sharing across the pedigrees in all three regions, suggesting that the underlying susceptibility alleles in those regions may be shared in common. In general, the pSGS regions identified were quite large (average 32.2 Mb), however, the range was wide (0.3 - 88.2 Mb). Several of the regions identified overlapped with loci and genes that have been previously implicated in breast cancer risk, including NBS1, BRCA1 and RAD51L1. Our analyses have provided several loci of interest to pursue in these high-risk pedigrees and illustrate the utility of the weighted pSGS method and extended pedigrees for gene mapping in complex diseases. A focused sequencing effort across these loci in the sharing individuals is the natural next step to further map the critical underlying susceptibility variants in these regions.

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The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 39%
Student > Ph. D. Student 5 28%
Student > Master 2 11%
Other 1 6%
Professor 1 6%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 28%
Agricultural and Biological Sciences 5 28%
Medicine and Dentistry 4 22%
Environmental Science 1 6%
Social Sciences 1 6%
Other 1 6%
Unknown 1 6%