Cargando…

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

BACKGROUND: 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 invo...

Descripción completa

Detalles Bibliográficos
Autores principales: Gonzalez-Neira, Anna, Rosa-Rosa, Juan Manuel, 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
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2072960/
https://www.ncbi.nlm.nih.gov/pubmed/17760956
http://dx.doi.org/10.1186/1471-2164-8-299
_version_ 1782137811400392704
author Gonzalez-Neira, Anna
Rosa-Rosa, Juan Manuel
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_facet Gonzalez-Neira, Anna
Rosa-Rosa, Juan Manuel
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
collection PubMed
description BACKGROUND: 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. RESULTS: 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. CONCLUSION: Our results show the power increase that SNPs can supply in linkage studies.
format Text
id pubmed-2072960
institution National Center for Biotechnology Information
language English
publishDate 2007
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-20729602007-11-10 Genomewide high-density SNP linkage analysis of non-BRCA1/2 breast cancer families identifies various candidate regions and has greater power than microsatellite studies Gonzalez-Neira, Anna Rosa-Rosa, Juan Manuel 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 BMC Genomics Research Article BACKGROUND: 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. RESULTS: 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. CONCLUSION: Our results show the power increase that SNPs can supply in linkage studies. BioMed Central 2007-08-30 /pmc/articles/PMC2072960/ /pubmed/17760956 http://dx.doi.org/10.1186/1471-2164-8-299 Text en Copyright © 2007 Gonzalez-Neira 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
Gonzalez-Neira, Anna
Rosa-Rosa, Juan Manuel
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
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_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_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_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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2072960/
https://www.ncbi.nlm.nih.gov/pubmed/17760956
http://dx.doi.org/10.1186/1471-2164-8-299
work_keys_str_mv AT gonzalezneiraanna genomewidehighdensitysnplinkageanalysisofnonbrca12breastcancerfamiliesidentifiesvariouscandidateregionsandhasgreaterpowerthanmicrosatellitestudies
AT rosarosajuanmanuel genomewidehighdensitysnplinkageanalysisofnonbrca12breastcancerfamiliesidentifiesvariouscandidateregionsandhasgreaterpowerthanmicrosatellitestudies
AT osorioana genomewidehighdensitysnplinkageanalysisofnonbrca12breastcancerfamiliesidentifiesvariouscandidateregionsandhasgreaterpowerthanmicrosatellitestudies
AT gonzalezemilio genomewidehighdensitysnplinkageanalysisofnonbrca12breastcancerfamiliesidentifiesvariouscandidateregionsandhasgreaterpowerthanmicrosatellitestudies
AT southeymelissa genomewidehighdensitysnplinkageanalysisofnonbrca12breastcancerfamiliesidentifiesvariouscandidateregionsandhasgreaterpowerthanmicrosatellitestudies
AT sinilnikovaolga genomewidehighdensitysnplinkageanalysisofnonbrca12breastcancerfamiliesidentifiesvariouscandidateregionsandhasgreaterpowerthanmicrosatellitestudies
AT lynchhenry genomewidehighdensitysnplinkageanalysisofnonbrca12breastcancerfamiliesidentifiesvariouscandidateregionsandhasgreaterpowerthanmicrosatellitestudies
AT oldenburgrogiera genomewidehighdensitysnplinkageanalysisofnonbrca12breastcancerfamiliesidentifiesvariouscandidateregionsandhasgreaterpowerthanmicrosatellitestudies
AT vanasperenchristij genomewidehighdensitysnplinkageanalysisofnonbrca12breastcancerfamiliesidentifiesvariouscandidateregionsandhasgreaterpowerthanmicrosatellitestudies
AT hoogerbruggenicoline genomewidehighdensitysnplinkageanalysisofnonbrca12breastcancerfamiliesidentifiesvariouscandidateregionsandhasgreaterpowerthanmicrosatellitestudies
AT pitaguillermo genomewidehighdensitysnplinkageanalysisofnonbrca12breastcancerfamiliesidentifiesvariouscandidateregionsandhasgreaterpowerthanmicrosatellitestudies
AT devileepeter genomewidehighdensitysnplinkageanalysisofnonbrca12breastcancerfamiliesidentifiesvariouscandidateregionsandhasgreaterpowerthanmicrosatellitestudies
AT goldgardavid genomewidehighdensitysnplinkageanalysisofnonbrca12breastcancerfamiliesidentifiesvariouscandidateregionsandhasgreaterpowerthanmicrosatellitestudies
AT benitezjavier genomewidehighdensitysnplinkageanalysisofnonbrca12breastcancerfamiliesidentifiesvariouscandidateregionsandhasgreaterpowerthanmicrosatellitestudies