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

测量临床样本中的甲基化组:Infinium Human Methylation450 BeadChip 阵列的改进处理

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作者:Hong Pan, Li Chen, Shaillay Dogra, Ai Ling Teh, Jun Hao Tan, Yubin I Lim, Yen Ching Lim, Shengnan Jin, Yew Kok Lee, Poh Yong Ng, Mei Lyn Ong, Shelia Barton, Yap-Seng Chong, Michael J Meaney, Peter D Gluckman, Walter Stunkel, Chunming Ding, Joanna D Holbrook

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.

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