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The Role of Constitutional Copy Number Variants in Breast Cancer

机译:体质拷贝数变异在乳腺癌中的作用

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摘要

Constitutional copy number variants (CNVs) include inherited and de novo deviations from a diploid state at a defined genomic region. These variants contribute significantly to genetic variation and disease in humans, including breast cancer susceptibility. Identification of genetic risk factors for breast cancer in recent years has been dominated by the use of genome-wide technologies, such as single nucleotide polymorphism (SNP)-arrays, with a significant focus on single nucleotide variants. To date, these large datasets have been underutilised for generating genome-wide CNV profiles despite offering a massive resource for assessing the contribution of these structural variants to breast cancer risk. Technical challenges remain in determining the location and distribution of CNVs across the human genome due to the accuracy of computational prediction algorithms and resolution of the array data. Moreover, better methods are required for interpreting the functional effect of newly discovered CNVs. In this review, we explore current and future application of SNP array technology to assess rare and common CNVs in association with breast cancer risk in humans.
机译:宪法副本数变体(CNV)包括在定义的基因组区域从二倍体状态继承和从头产生的偏差。这些变体对人类的遗传变异和疾病(包括乳腺癌易感性)有重大贡献。近年来,通过使用全基因组技术,例如单核苷酸多态性(SNP)阵列,对乳腺癌的遗传危险因素进行识别已成为主流,其主要关注单核苷酸变异体。迄今为止,尽管这些大型数据集为评估这些结构变异对乳腺癌风险的贡献提供了巨大的资源,但并未被充分利用来生成全基因组的CNV图谱。由于计算预测算法的准确性和阵列数据的分辨率,在确定整个人类基因组中CNV的位置和分布方面仍然存在技术挑战。而且,需要更好的方法来解释新发现的CNV的功能作用。在这篇综述中,我们探讨了SNP阵列技术的当前和未来应用,以评估与人类乳腺癌风险相关的罕见和常见CNV。

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