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评估拷贝数变异作为BRCA1致病变异携带者乳腺癌和卵巢癌风险修饰因素的作用。

Evaluation of copy-number variants as modifiers of breast and ovarian cancer risk for BRCA1 pathogenic variant carriers.

作者信息

Walker Logan C, Marquart Louise, Pearson John F, Wiggins George A R, O'Mara Tracy A, Parsons Michael T, Barrowdale Daniel, McGuffog Lesley, Dennis Joe, Benitez Javier, Slavin Thomas P, Radice Paolo, Frost Debra, Godwin Andrew K, Meindl Alfons, Schmutzler Rita Katharina, Isaacs Claudine, Peshkin Beth N, Caldes Trinidad, Hogervorst Frans Bl, Lazaro Conxi, Jakubowska Anna, Montagna Marco, Chen Xiaoqing, Offit Kenneth, Hulick Peter J, Andrulis Irene L, Lindblom Annika, Nussbaum Robert L, Nathanson Katherine L, Chenevix-Trench Georgia, Antoniou Antonis C, Couch Fergus J, Spurdle Amanda B

机构信息

Department of Pathology, University of Otago, Christchurch, New Zealand.

Statistics Unit, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.

出版信息

Eur J Hum Genet. 2017 Apr;25(4):432-438. doi: 10.1038/ejhg.2016.203. Epub 2017 Feb 1.

Abstract

Genome-wide studies of patients carrying pathogenic variants (mutations) in BRCA1 or BRCA2 have reported strong associations between single-nucleotide polymorphisms (SNPs) and cancer risk. To conduct the first genome-wide association analysis of copy-number variants (CNVs) with breast or ovarian cancer risk in a cohort of 2500 BRCA1 pathogenic variant carriers, CNV discovery was performed using multiple calling algorithms and Illumina 610k SNP array data from a previously published genome-wide association study. Our analysis, which focused on functionally disruptive genomic deletions overlapping gene regions, identified a number of loci associated with risk of breast or ovarian cancer for BRCA1 pathogenic variant carriers. Despite only including putative deletions called by at least two or more algorithms, detection of selected CNVs by ancillary molecular technologies only confirmed 40% of predicted common (>1% allele frequency) variants. These include four loci that were associated (unadjusted P<0.05) with breast cancer (GTF2H2, ZNF385B, NAALADL2 and PSG5), and two loci associated with ovarian cancer (CYP2A7 and OR2A1). An interesting finding from this study was an association of a validated CNV deletion at the CYP2A7 locus (19q13.2) with decreased ovarian cancer risk (relative risk=0.50, P=0.007). Genomic analysis found this deletion coincides with a region displaying strong regulatory potential in ovarian tissue, but not in breast epithelial cells. This study highlighted the need to verify CNVs in vitro, but also provides evidence that experimentally validated CNVs (with plausible biological consequences) can modify risk of breast or ovarian cancer in BRCA1 pathogenic variant carriers.

摘要

对携带BRCA1或BRCA2致病变异(突变)的患者进行的全基因组研究报告了单核苷酸多态性(SNP)与癌症风险之间的强关联。为了在2500名BRCA1致病变异携带者队列中对拷贝数变异(CNV)与乳腺癌或卵巢癌风险进行首次全基因组关联分析,使用多种检测算法和来自先前发表的全基因组关联研究的Illumina 610k SNP阵列数据进行CNV发现。我们的分析聚焦于与基因区域重叠的功能性破坏基因组缺失,确定了一些与BRCA1致病变异携带者的乳腺癌或卵巢癌风险相关的基因座。尽管仅包括至少由两种或更多算法检测到的推定缺失,但通过辅助分子技术对选定CNV的检测仅证实了40%的预测常见(等位基因频率>1%)变异。这些包括与乳腺癌相关(未校正P<0.05)的四个基因座(GTF2H2、ZNF385B、NAALADL2和PSG5),以及与卵巢癌相关的两个基因座(CYP2A7和OR2A1)。这项研究的一个有趣发现是,在CYP2A7基因座(19q13.2)处经证实的CNV缺失与卵巢癌风险降低相关(相对风险=0.50,P=0.007)。基因组分析发现该缺失与卵巢组织中显示出强调控潜力的区域重合,但在乳腺上皮细胞中则不然。这项研究强调了在体外验证CNV的必要性,但也提供了证据表明经实验验证的CNV(具有合理的生物学后果)可改变BRCA1致病变异携带者患乳腺癌或卵巢癌的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5482/5386423/dfac63f2e62c/ejhg2016203f1.jpg

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