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Control Charting Genomic Data
Jing Xu1, Eric Crossley2, Jennifer Wagenfuehr2
1Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX.
The Journal of Applied Laboratory Medicine
|December 15, 2020
Summary
Control charting effectively monitors clinical genomic next-generation sequencing (NGS) assay performance. This quality assurance method ensures reliable genomic testing by tracking sequencing coverage and identifying variations.
Area of Science:
- Genomics
- Clinical Laboratory Science
- Quality Assurance
Background:
- Traditional clinical laboratory testing utilizes control charting for quality assurance.
- Genomic tests, specifically next-generation sequencing (NGS) assays, are not routinely managed using control charting.
- This study investigates the application of control charting for monitoring clinical NGS assay performance.
Purpose of the Study:
- To evaluate the utility of control charting for quality assurance in clinical genomic testing.
- To assess the impact of reagent lot changes on sequencing coverage in genomic regions.
- To determine the correlation between control material and clinical sample performance.
Main Methods:
- Retrospective analysis of 3 years of control material (NA12878) data from clinical genomic epilepsy testing.
- Utilization of Levey-Jennings plots to visualize sequencing coverage depth in targeted genomic regions.
- Correlation analysis of coverage depth changes with capture probe reagent lot changes and clinical sample data.
Main Results:
- Lot changes in capture probe reagents significantly altered average and minimum sequencing coverage in numerous genomic regions.
- Sensitivity to lot-to-lot variation differed between average and minimum coverage metrics.
- Levey-Jennings plots effectively visualized coverage differences across reagent lots, with moderate correlation (r² = 0.45) between control material and clinical samples.
Conclusions:
- Genomic control charting is a viable and routine method for clinical laboratories.
- It enables effective monitoring of assay performance and ensures the quality of genomic testing.
- Implementation of control charting enhances the reliability of clinical genomic data.
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