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Updated: May 20, 2025

Comparative Lesions Analysis Through a Targeted Sequencing Approach
Published on: November 5, 2019
Smart Nonuniformity for Calibrating Sequencing Depth of a Targeted Gene Panel to Simultaneously Detect Somatic and
Robert L O'Reilly1, Philip Harraka1, Jared Burke2
1Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia; Victorian Heart Institute, Monash University, Clayton, Victoria, Australia.
This study developed a targeted gene panel for sequencing to detect somatic variants in clonal hematopoiesis of indeterminate potential (CHIP) and germline variants. The panel achieved optimal sequencing depths for both variant types in a single workflow.
Area of Science:
- Genomics
- Molecular Diagnostics
- Bioinformatics
Background:
- Targeted gene panel sequencing offers diagnostic potential for genomic variations.
- Clonal hematopoiesis of indeterminate potential (CHIP) involves somatic variants requiring high sequencing depth (>500×).
- Germline variants require lower sequencing depth (≥50×).
Purpose of the Study:
- To develop and validate a targeted gene panel for detecting both CHIP-associated somatic variants and germline variants.
- To optimize sequencing depth ratios for different variant types within a single panel.
- To confirm the accuracy and reliability of the developed panel for variant detection.
Main Methods:
- Designed a dual-depth targeted gene panel (panel 1) adjusting probe ratios for CHIP and germline regions.
- Manufactured a custom CHIP-specific panel (panel 2) for validation.
- Sequenced 150 diverse blood-derived DNA samples using both panels.
- Analyzed sequencing data for variant calling and depth ratios.
Main Results:
- The median depth ratio between CHIP and germline regions was 4.7:1.
- Fourteen CHIP-associated variants were accurately identified by both panels.
- All known germline variants were successfully detected.
- Smart nonuniformity sequencing demonstrated reliable detection of variants with allele frequencies from 0.01 to 1.
Conclusions:
- The developed targeted gene panel effectively detects both CHIP-associated somatic and germline variants in a single workflow.
- Optimized sequencing depths and probe ratios enable accurate variant identification for different genomic applications.
- This approach provides a reliable and efficient tool for molecular diagnostics.
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