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A clinically validated whole genome pipeline for structural variant detection and analysis
Nir Neerman1, Gregory Faust1, Naomi Meeks1
1Variantyx Inc, Framingham, MA, 01867, USA.
BMC Genomics
|July 17, 2019
Summary
This study introduces a validated pipeline for detecting structural variants using whole genome sequencing (WGS). The method offers high accuracy and single base pair resolution, paving the way for routine clinical use.
Area of Science:
- Genomics
- Clinical Diagnostics
Background:
- Whole genome sequencing (WGS) costs are decreasing, making it economically feasible for broader clinical application.
- WGS offers unique opportunities for structural variant detection, but its clinical use is limited.
- Structural variant analysis is crucial for diagnosing genetic disorders.
Purpose of the Study:
- To develop and validate a clinical pipeline for accurate structural variant detection using PCR-free WGS.
- To enable routine clinical application of structural variant analysis.
- To improve diagnostic yield for genetic disorders.
Main Methods:
- Development of a clinically validated pipeline using 30X PCR-free WGS.
- Combination of breakpoint analysis (split/discordant reads) and read depth analysis.
- Minimization of false positives using loss of heterozygosity and bi-modal heterozygous variant allele frequencies.
- Automatic detection of compound structural variants and small sequence changes.
- Annotation with phenotype (HGMD Professional) and population allele frequencies.
Main Results:
- Highly specific and sensitive detection of structural variants down to single base pair resolution.
- Enhanced detection of heterozygous deletions and duplications.
- Validated analytical and clinical sensitivity and specificity using reference genomes and orthogonal technologies.
- Facilitated clinical interpretation through comprehensive annotation.
Conclusions:
- Consistent read depth in PCR-free WGS enables reliable detection of structural variants of all sizes.
- Gene and variant level annotation aids clinicians in matching phenotypes to variants.
- The pipeline confidently identifies causative findings for clinical reporting.
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