Twist Bioscience NGS | Fixed Panels | Twist Human Methylome Panel

The Twist Human Methylome contains 3.98M CpG sites through the 123 Mb of genomic content target biologically relevant methylation markers. The panel is highly targeted to capture and detect the most current, annotated, and relevant CpG methylation regions in the genome. 84% (17,915,988) of the CpG islands in the genome are identified through enrichment with this panel. An additional 105,288,339 bases of subsequent shores, shelves, and open sea CpG’s and base pairs are covered.

A microarray is designed with  static content that can hinder discovery of new epigenetic targets of interest. Current arrays on the market also have limited coverage of the methylome across the epigenome leaving a large proportion of Methylated CpG sites left unmeasured. The Twist Human Methylome targeted enrichment approach addresses these limitations with  hybrid-capture panels that enable expanded content and single base resolution across the entire sequence read provided by NGS platforms.

Microarrays have inherent limitations on extreme ends of methylation detection attributed to high background noise at the low end and signal saturation at the high end. Because of the higher dynamic range provided by NGS, the Twist Human Methylome Panel can provide a more accurate calling of differentially methylated regions (DMRs) especially at both the low and high end of the methylation fraction (figure 4). 

The Twist Human Methylome Panel is designed and wet lab optimized to provide accurate, sensitive and high performance hybrid-capture efficiency. The panel achieves a depth of coverage of 90% of bases at 30x coverage with high probe specificities of 95% on-target rates. The panel also achieves a fold 80 of 1.54 providing high uniformity across the target region by decreasing the delta between the peaks and valleys of the base call pile ups. Library complexity was inversely represented by a <4% duplication rate at a high sequencing depth of 150x raw coverage. The overall panel capture efficiency metrics provide a high level of confidence in detection across the methylation fraction with minimized sequencing cost.