Genomewide high-density SNP linkage analysis of non-BRCA1/2 breast cancer families identifies various candidate regions and has greater power than microsatellite studies

<p>Abstract</p> <p>Background</p> <p>The recent development of new high-throughput technologies for SNP genotyping has opened the possibility of taking a genome-wide linkage approach to the search for new candidate genes involved in heredity diseases. The two major brea...

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Main Authors: Gonzalez-Neira Anna, Rosa-Rosa Juan, Osorio Ana, Gonzalez Emilio, Southey Melissa, Sinilnikova Olga, Lynch Henry, Oldenburg Rogier A, van Asperen Christi J, Hoogerbrugge Nicoline, Pita Guillermo, Devilee Peter, Goldgar David, Benitez Javier
Format: Article
Language:English
Published: BMC 2007-08-01
Series:BMC Genomics
Online Access:http://www.biomedcentral.com/1471-2164/8/299
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spelling doaj-7d4863ca64c3402ea883ba4cd59ff6c52020-11-25T01:32:30ZengBMCBMC Genomics1471-21642007-08-018129910.1186/1471-2164-8-299Genomewide high-density SNP linkage analysis of non-BRCA1/2 breast cancer families identifies various candidate regions and has greater power than microsatellite studiesGonzalez-Neira AnnaRosa-Rosa JuanOsorio AnaGonzalez EmilioSouthey MelissaSinilnikova OlgaLynch HenryOldenburg Rogier Avan Asperen Christi JHoogerbrugge NicolinePita GuillermoDevilee PeterGoldgar DavidBenitez Javier<p>Abstract</p> <p>Background</p> <p>The recent development of new high-throughput technologies for SNP genotyping has opened the possibility of taking a genome-wide linkage approach to the search for new candidate genes involved in heredity diseases. The two major breast cancer susceptibility genes BRCA1 and BRCA2 are involved in 30% of hereditary breast cancer cases, but the discovery of additional breast cancer predisposition genes for the non-BRCA1/2 breast cancer families has so far been unsuccessful.</p> <p>Results</p> <p>In order to evaluate the power improvement provided by using SNP markers in a real situation, we have performed a whole genome screen of 19 non-BRCA1/2 breast cancer families using 4720 genomewide SNPs with Illumina technology (Illumina's Linkage III Panel), with an average distance of 615 Kb/SNP. We identified six regions on chromosomes 2, 3, 4, 7, 11 and 14 as candidates to contain genes involved in breast cancer susceptibility, and additional fine mapping genotyping using microsatellite markers around linkage peaks confirmed five of them, excluding the region on chromosome 3. These results were consistent in analyses that excluded SNPs in high linkage disequilibrium. The results were compared with those obtained previously using a 10 cM microsatellite scan (STR-GWS) and we found lower or not significant linkage signals with STR-GWS data compared to SNP data in all cases.</p> <p>Conclusion</p> <p>Our results show the power increase that SNPs can supply in linkage studies.</p> http://www.biomedcentral.com/1471-2164/8/299
collection DOAJ
language English
format Article
sources DOAJ
author Gonzalez-Neira Anna
Rosa-Rosa Juan
Osorio Ana
Gonzalez Emilio
Southey Melissa
Sinilnikova Olga
Lynch Henry
Oldenburg Rogier A
van Asperen Christi J
Hoogerbrugge Nicoline
Pita Guillermo
Devilee Peter
Goldgar David
Benitez Javier
spellingShingle Gonzalez-Neira Anna
Rosa-Rosa Juan
Osorio Ana
Gonzalez Emilio
Southey Melissa
Sinilnikova Olga
Lynch Henry
Oldenburg Rogier A
van Asperen Christi J
Hoogerbrugge Nicoline
Pita Guillermo
Devilee Peter
Goldgar David
Benitez Javier
Genomewide high-density SNP linkage analysis of non-BRCA1/2 breast cancer families identifies various candidate regions and has greater power than microsatellite studies
BMC Genomics
author_facet Gonzalez-Neira Anna
Rosa-Rosa Juan
Osorio Ana
Gonzalez Emilio
Southey Melissa
Sinilnikova Olga
Lynch Henry
Oldenburg Rogier A
van Asperen Christi J
Hoogerbrugge Nicoline
Pita Guillermo
Devilee Peter
Goldgar David
Benitez Javier
author_sort Gonzalez-Neira Anna
title Genomewide high-density SNP linkage analysis of non-BRCA1/2 breast cancer families identifies various candidate regions and has greater power than microsatellite studies
title_short Genomewide high-density SNP linkage analysis of non-BRCA1/2 breast cancer families identifies various candidate regions and has greater power than microsatellite studies
title_full Genomewide high-density SNP linkage analysis of non-BRCA1/2 breast cancer families identifies various candidate regions and has greater power than microsatellite studies
title_fullStr Genomewide high-density SNP linkage analysis of non-BRCA1/2 breast cancer families identifies various candidate regions and has greater power than microsatellite studies
title_full_unstemmed Genomewide high-density SNP linkage analysis of non-BRCA1/2 breast cancer families identifies various candidate regions and has greater power than microsatellite studies
title_sort genomewide high-density snp linkage analysis of non-brca1/2 breast cancer families identifies various candidate regions and has greater power than microsatellite studies
publisher BMC
series BMC Genomics
issn 1471-2164
publishDate 2007-08-01
description <p>Abstract</p> <p>Background</p> <p>The recent development of new high-throughput technologies for SNP genotyping has opened the possibility of taking a genome-wide linkage approach to the search for new candidate genes involved in heredity diseases. The two major breast cancer susceptibility genes BRCA1 and BRCA2 are involved in 30% of hereditary breast cancer cases, but the discovery of additional breast cancer predisposition genes for the non-BRCA1/2 breast cancer families has so far been unsuccessful.</p> <p>Results</p> <p>In order to evaluate the power improvement provided by using SNP markers in a real situation, we have performed a whole genome screen of 19 non-BRCA1/2 breast cancer families using 4720 genomewide SNPs with Illumina technology (Illumina's Linkage III Panel), with an average distance of 615 Kb/SNP. We identified six regions on chromosomes 2, 3, 4, 7, 11 and 14 as candidates to contain genes involved in breast cancer susceptibility, and additional fine mapping genotyping using microsatellite markers around linkage peaks confirmed five of them, excluding the region on chromosome 3. These results were consistent in analyses that excluded SNPs in high linkage disequilibrium. The results were compared with those obtained previously using a 10 cM microsatellite scan (STR-GWS) and we found lower or not significant linkage signals with STR-GWS data compared to SNP data in all cases.</p> <p>Conclusion</p> <p>Our results show the power increase that SNPs can supply in linkage studies.</p>
url http://www.biomedcentral.com/1471-2164/8/299
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