Identification of polymorphic and off-target probe binding sites on the Illumina Infinium MethylationEPIC BeadChip

被引:237
作者
McCartney, Daniel L. [1 ]
Walker, Rosie M. [1 ]
Morris, Stewart W. [1 ]
McIntosh, Andrew M. [1 ,2 ,3 ]
Porteous, David J. [1 ,3 ]
Evans, Kathryn L. [1 ,3 ]
机构
[1] Univ Edinburgh, Western Gen Hosp, MRC Inst Genet & Mol Med, Med Genet Sect,Ctr Genom & Expt Med, Crewe Rd, Edinburgh EH4 2XU, Midlothian, Scotland
[2] Univ Edinburgh, Royal Edinburgh Hosp, Div Psychiat, Edinburgh EH10 5HF, Midlothian, Scotland
[3] Univ Edinburgh, Dept Psychol, Ctr Cognit Ageing & Cognit Epidemiol, 7 George Sq, Edinburgh EH8 9JZ, Midlothian, Scotland
来源
GENOMICS DATA | 2016年 / 9卷
基金
英国医学研究理事会; 英国工程与自然科学研究理事会; 英国生物技术与生命科学研究理事会; 英国惠康基金;
关键词
DNA methylation; Infinium MethylationEPIC BeadChip; Cross-hybridising probes; Polymorphic CpG; Quality control;
D O I
10.1016/j.gdata.2016.05.012
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Genome-wide analysis of DNA methylation has now become a relatively inexpensive technique thanks to array-based methylation profiling technologies. The recently developed Illumina Infinium MethylationEPIC BeadChip interrogates methylation at over 850,000 sites across the human genome, covering 99% of RefSeq genes. This array supersedes the widely used Infinium HumanMethylation450 BeadChip, which has permitted insights into the relationship between DNA methylation and a wide range of conditions and traits. Previous research has identified issues with certain probes on both the HumanMethylation450 BeadChip and its predecessor, the Infinium HumanMethylation27 BeadChip, which were predicted to affect array performance. These issues concerned probe-binding specificity and the presence of polymorphisms at target sites. Using in silico methods, we have identified probes on the Infinium MethylationEPIC BeadChip that are predicted to (i) measure methylation at polymorphic sites and (ii) hybridise to multiple genomic regions. We intend these resources to be used for quality control procedures when analysing data derived from this platform. (C) 2016 The Authors. Published by Elsevier Inc.
引用
收藏
页码:22 / 24
页数:3
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