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首页> 外文期刊>BMC Bioinformatics >CARAT: A novel method for allelic detection of DNA copy number changes using high density oligonucleotide arrays
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CARAT: A novel method for allelic detection of DNA copy number changes using high density oligonucleotide arrays

机译:克拉:一种使用高密度寡核苷酸阵列等位基因检测DNA拷贝数变化的新方法

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摘要

Background DNA copy number alterations are one of the main characteristics of the cancer cell karyotype and can contribute to the complex phenotype of these cells. These alterations can lead to gains in cellular oncogenes as well as losses in tumor suppressor genes and can span small intervals as well as involve entire chromosomes. The ability to accurately detect these changes is central to understanding how they impact the biology of the cell. Results We describe a novel algorithm called CARAT ( C opy Number A nalysis with R egression A nd T ree) that uses probe intensity information to infer copy number in an allele-specific manner from high density DNA oligonuceotide arrays designed to genotype over 100, 000 SNPs. Total and allele-specific copy number estimations using CARAT are independently evaluated for a subset of SNPs using quantitative PCR and allelic TaqMan reactions with several human breast cancer cell lines. The sensitivity and specificity of the algorithm are characterized using DNA samples containing differing numbers of X chromosomes as well as a test set of normal individuals. Results from the algorithm show a high degree of agreement with results from independent verification methods. Conclusion Overall, CARAT automatically detects regions with copy number variations and assigns a significance score to each alteration as well as generating allele-specific output. When coupled with SNP genotype calls from the same array, CARAT provides additional detail into the structure of genome wide alterations that can contribute to allelic imbalance.
机译:背景DNA拷贝数的改变是癌细胞核型的主要特征之一,并且可以促进这些细胞的复杂表型。这些改变可以导致细胞癌基因的增加以及肿瘤抑制基因的损失,并且可以跨越很小的间隔并涉及整个染色体。准确检测这些变化的能力是了解它们如何影响细胞生物学的关键。结果我们描述了一种新的算法,称为CARAT(具有回归分析和回归的C数A分析),该算法使用探针强度信息以等位基因特异性的方式从旨在设计100,000以上基因型的高密度DNA寡核苷酸阵列中推断拷贝数SNP。使用定量PCR和与几种人类乳腺癌细胞系的等位基因TaqMan反应,独立评估了使用CARAT评估的总和等位基因特异性拷贝数,以评估SNP的子集。使用包含不同数量X染色体的DNA样本以及正常个体的测试集来表征算法的敏感性和特异性。该算法的结果与独立验证方法的结果高度吻合。结论总的来说,CARAT自动检测具有拷贝数变异的区域,并为每个变异分配显着性得分,并生成等位基因特异性输出。当与同一阵列中的SNP基因型调用结合使用时,CARAT提供了更多的基因组范围内变异的详细信息,这些变异可能导致等位基因失衡。

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