Combfit: A Normalization Method for Array CGH Data

Shigeyuki Oba, N. Tomioka, M. Ohira, S. Ishii
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引用次数: 2

Abstract

The recently developed array-based comparative genomic hybridization(array CGH) technique measures DNA copy number aberrations that occur as causes or consequences of cell diseases such as cancers. Conventional array CGH analysis classifies DNA copy number aberrations into three categories: no significant change, significant gain, and significant loss. However, recent improvements in microarray measurement precision enable more quantitative analysis of copy number aberrations. We propose a method, called comb fitting, that extracts a quantitative interpretation from array CGH data. We also propose modifications that allow us to apply comb fitting to cases featuring heterogeneity of local aberrations in DNA copy numbers. By using comb fitting, we can correct the baseline of the fluorescence ratio data measured by array CGH and simultaneously translate them into the amount of changed copy numbers for each small part of the chromosome, such as 0, ±1, ±2, ···. Comb fitting is applicable even when a considerable amount of contamination by normal cells exists and when heterogeneity in the ploidy number cannot be neglected.
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Combfit:一种阵列CGH数据的归一化方法
最近开发的基于阵列的比较基因组杂交(array CGH)技术可以测量DNA拷贝数畸变,这些畸变是癌症等细胞疾病的原因或后果。传统的阵列CGH分析将DNA拷贝数畸变分为三种类型:无显著变化、显著增加和显著损失。然而,最近微阵列测量精度的提高使拷贝数畸变的定量分析成为可能。我们提出了一种称为梳状拟合的方法,从阵列CGH数据中提取定量解释。我们还提出了一些修改,使我们能够将梳状拟合应用于DNA拷贝数局部畸变异质性的情况。通过梳状拟合,我们可以对阵列CGH测得的荧光比数据进行基线校正,同时将其转化为染色体各小部分拷贝数的变化量,如0、±1、±2、···。即使存在相当数量的正常细胞污染,当倍性数目的异质性不能被忽视时,梳状拟合也适用。
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