A statistical method to estimate DNA copy number from Illumina high-density methylation arrays

Gang Feng, J. Hobbs, Xin Lu, Y. Yu, Pan Du, W. Kibbe, J. Chandler, L. Hou, Simon M. Lin
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引用次数: 3

Abstract

For the first time, we report here that Illumina high-density methylation arrays can also be used to estimate DNA copy number variations. We used the Illumina HM450K methylation array data to characterize the DNA copy number aberrations in the HT-29 colon cancer cell line to test our statistical model. Results were validated using an Affymetrix SNP array. Utilizing the CAMDA 2011 glioblastoma data set, we have demonstrated that our novel statistical method can potentially lower the cost and reduce the processing time of large-scale profiling studies where both DNA copy number and methylation status are of interest. Our new method, named methylCNV, is implemented in the Lumi package of Bioconductor.
一种估算Illumina高密度甲基化阵列DNA拷贝数的统计方法
本文首次报道了Illumina高密度甲基化阵列也可用于估计DNA拷贝数变化。我们使用Illumina HM450K甲基化阵列数据来表征HT-29结肠癌细胞系的DNA拷贝数畸变,以检验我们的统计模型。使用Affymetrix SNP阵列验证结果。利用CAMDA 2011胶质母细胞瘤数据集,我们已经证明,我们的新统计方法可以潜在地降低成本,减少大规模分析研究的处理时间,其中DNA拷贝数和甲基化状态都是感兴趣的。我们的新方法被命名为methylCNV,在Bioconductor的Lumi包中实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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