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NGS replacement for MLPA® and Similar Analysis Techniques
with the NextGENe® software’s Batch CNV Tool.

Developed in collaboration with Dr. Bekim Sadikovic and Colleagues, Western University, Pathology and Laboratory Medicine London Health Sciences Centre and St. Joseph's Health Care London, London, Ontario, Canada, the NextGENe software tool provides a new capability to NGS users.


The use of NGS and NextGENe software's Batch CNV Tool for screening dramatically increases laboratory through-put while significantly reducing the cost of MLPA Analysis. Includes a robust tool that provides a means to replace Multiplex Ligation-dependent Probe Amplification and similar techniques, typically performed by capillary electrophoresis (CE) fragment analysis, with High-Throughput or Next Generation Sequencing. HTS approach to CNV does not use the problematic steps of the traditional MLPA reaction. MLPA reactions are challenging to optimize. Steps in the MLPA protocol include: DNA quantification, denaturation and ligation, which must be optimized to produce reliable results. In addition, the MLPA laboratory procedure is labor intensive.

 

Allows users to take advantage of NGS attributes of:

  • higher throughout
  • lower costs
  • simplicity

“Detection of copy number variants is often performed using multiplex ligation-dependent probe amplification (MLPA). While it is sensitive, this method can be slow and labor intensive. High Throughput Sequencing (HTS) using targeted panels offers a different approach that is simpler, cheaper, and faster. Using a simple coverage normalization method with compatible data, it is possible to generate CNV calls with HTS and outperform the use of MLPA and Sanger sequencing” [1].

 

Reference: [1] Schenkel, Laila C., et al. "Clinical Next-Generation Sequencing Pipeline Outperforms a Combined Approach Using Sanger Sequencing and Multiplex Ligation-Dependent Probe Amplification in Targeted Gene Panel Analysis.” The Journal of Molecular Diagnostics (2016).

 

The choice of library preparation method is very important for this analysis. Any method that produces inconsistent coverage from sample to sample will result in poor sensitivity and specificity. Samples prepared using SeqCap EZ Choice (Roche NimbleGen, Inc) have been shown to work well with the tool.

The tool calculates the pileup coverage at each position in the targeted panel, normalizes it by a constant value in each sample, and reports the normalized values.

The normalization procedure is:

  1. Get the total coverage in each sample (adding the coverage at each position in the ROI bed file).
  2. Divide these values by the average across all samples to get the normalization factor for each sample.
  3. Divide the coverage at each position by the normalization factor for that sample.
  4. When reporting a value for a given region, reports the average of all bases within that region.

Table of Results

Any regions with an average normalized value outside the set thresholds (0.8 and 1.2 by default) will be called (figures 3 and 4). The region names are taken from the 4th column of the BED file used to define the regions. Sub-region results (for example, within an exon) can be visualized (figure 5) in order to see potential sub-exon copy number variations.

 

Global plot with samples in rows and regions in columns.
Red squares indicate a deletion call while green squares indicate a duplication call

 

Results across several regions for a given sample.
A duplication of the GARS gene is shown.

 

 

Results within an exon (that was called as a duplication) in a single sample.
The normalized coverage (blue) is consistently above the cutoff for a duplication call at 1.20.

 

For further information please review or download the following Application Note:
Using NextGENe® Software (v2.4.2) Batch CNV Tool as an NGS replacementfor MLPA® and Similar Analysis Techniques

 

Pricing & Trial Version:
Request 30-day trial/Price Quote

 

Reference Material:
Download/View NextGENe® Brochure
NextGENe User Manual
Annotated Reference Genomes

NextGENe Batch CNV tool (View) (view on )

ASHG 2016 Poster: CLINICAL NGS PIPELINE OUTPERFORMS A COMBINED APPROACH USING SANGER SEQUENCING AND MLPA IN TARGETED GENE PANEL ANALYSIS

 

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