...
首页> 外文期刊>BMC Genomics >Genomewide high-density SNP linkage analysis of non-BRCA1/2 breast cancer families identifies various candidate regions and has greater power than microsatellite studies
【24h】

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

机译:非BRCA1 / 2乳腺癌家族的全基因组高密度SNP连锁分析可鉴定各种候选区域,并且比微卫星研究具有更大的功效

获取原文
   

获取外文期刊封面封底 >>

       

摘要

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.
机译:背景技术用于SNP基因分型的高通量新技术的最新发展为采用全基因组连锁方法来寻找与遗传病有关的新候选基因提供了可能。两种主要的乳腺癌易感基因BRCA1和BRCA2参与了30%的遗传性乳腺癌病例,但是迄今为止,针对非BRCA1 / 2乳腺癌家族的其他乳腺癌易感基因的发现仍未成功。结果为了评估在实际情况下使用SNP标记所提供的功能改善,我们使用Illumina技术(Illumina的Linkage III Panel)使用4720个全基因组SNP对19个非BRCA1 / 2乳腺癌家族进行了全基因组筛选。平均距离为615 Kb / SNP。我们确定了2号,3号,4号,7号,11号和14号染色体上的六个区域为包含与乳腺癌易感性有关的基因的候选区域,并且使用微卫星标记在连锁峰周围进行的进一步精细定位基因分型确认了其中五个,其中不包括3号染色体上的区域。这些结果在排除高连锁不平衡中的SNP的分析中是一致的。将结果与先前使用10 cM微卫星扫描(STR-GWS)获得的结果进行比较,并且在所有情况下,与SNP数据相比,我们发现STR-GWS数据的连锁信号较低或不明显。结论我们的结果表明SNP在连锁研究中可以提供的功率增加。

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号