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Pairwise shared genomic segment analysis in three Utah high-risk breast cancer pedigrees
BACKGROUND: 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. RESULTS: Using this method, four genomewide suggestive regions were identified on chromo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3561143/ https://www.ncbi.nlm.nih.gov/pubmed/23190577 http://dx.doi.org/10.1186/1471-2164-13-676 |
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author | Cai, Zheng Thomas, Alun Teerlink, Craig Farnham, James M Cannon-Albright, Lisa A Camp, Nicola J |
author_facet | Cai, Zheng Thomas, Alun Teerlink, Craig Farnham, James M Cannon-Albright, Lisa A Camp, Nicola J |
author_sort | Cai, Zheng |
collection | PubMed |
description | BACKGROUND: 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. RESULTS: 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. CONCLUSIONS: 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. |
format | Online Article Text |
id | pubmed-3561143 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35611432013-02-05 Pairwise shared genomic segment analysis in three Utah high-risk breast cancer pedigrees Cai, Zheng Thomas, Alun Teerlink, Craig Farnham, James M Cannon-Albright, Lisa A Camp, Nicola J BMC Genomics Research Article BACKGROUND: 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. RESULTS: 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. CONCLUSIONS: 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. BioMed Central 2012-11-28 /pmc/articles/PMC3561143/ /pubmed/23190577 http://dx.doi.org/10.1186/1471-2164-13-676 Text en Copyright ©2012 Cai et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Cai, Zheng Thomas, Alun Teerlink, Craig Farnham, James M Cannon-Albright, Lisa A Camp, Nicola J Pairwise shared genomic segment analysis in three Utah high-risk breast cancer pedigrees |
title | Pairwise shared genomic segment analysis in three Utah high-risk breast cancer pedigrees |
title_full | Pairwise shared genomic segment analysis in three Utah high-risk breast cancer pedigrees |
title_fullStr | Pairwise shared genomic segment analysis in three Utah high-risk breast cancer pedigrees |
title_full_unstemmed | Pairwise shared genomic segment analysis in three Utah high-risk breast cancer pedigrees |
title_short | Pairwise shared genomic segment analysis in three Utah high-risk breast cancer pedigrees |
title_sort | pairwise shared genomic segment analysis in three utah high-risk breast cancer pedigrees |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3561143/ https://www.ncbi.nlm.nih.gov/pubmed/23190577 http://dx.doi.org/10.1186/1471-2164-13-676 |
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