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在临床样本中测量甲基化组:改进 Infinium Human Methylation450 BeadChip Array 的处理。

Measuring the methylome in clinical samples: improved processing of the Infinium Human Methylation450 BeadChip Array.

机构信息

Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore, Singapore.

出版信息

Epigenetics. 2012 Oct;7(10):1173-87. doi: 10.4161/epi.22102. Epub 2012 Sep 10.

Abstract

The Infinium Human Methylation450 BeadChip Array (TM) (Infinium 450K) is an important tool for studying epigenetic patterns associated with disease. This array offers a high-throughput, low cost alternative to more comprehensive sequencing-based methodologies. Here we compare data generated by interrogation of the same seven clinical samples by Infinium 450K and reduced representation bisulfite sequencing (RRBS). This is the largest data set comparing Infinium 450K array to the comprehensive RRBS methodology reported so far. We show good agreement between the two methodologies. A read depth of four or more reads in the RRBS data was sufficient to achieve good agreement with Infinium 450K. However, we observe that intermediate methylation values (20-80%) are more variable between technologies than values at the extremes of the bimodal methylation distribution. We describe careful processing of Infinium 450K data to correct for known limitations and batch effects. Using methodologies proposed by others and newly implemented and combined in this report, agreement of Infinium 450K data with independent techniques can be vastly improved.

摘要

Infinium Human Methylation450 BeadChip Array(TM)(Infinium 450K)是研究与疾病相关的表观遗传模式的重要工具。与更全面的基于测序的方法相比,该阵列提供了高通量、低成本的替代方案。在这里,我们比较了对相同的七个临床样本进行 Infinium 450K 和简化代表性亚硫酸氢盐测序(RRBS)检测所产生的数据。这是迄今为止比较 Infinium 450K 阵列与全面 RRBS 方法的最大数据集。我们发现两种方法之间具有良好的一致性。RRBS 数据中读取深度为四个或更多读数足以与 Infinium 450K 达成良好的一致性。然而,我们观察到中间甲基化值(20-80%)在技术之间的变异性大于双峰甲基化分布两端的值。我们描述了对 Infinium 450K 数据进行仔细处理,以纠正已知的局限性和批次效应。使用其他人提出的方法和本报告中新实施和组合的方法,可以大大提高 Infinium 450K 数据与独立技术的一致性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31aa/3469459/3ffc7882c0b3/epi-7-1173-g1.jpg

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