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correspondence sheet that provides all relevant metrics and require- Inferences of Mutational Status for ments of the algorithm would be helpful for both Variants Detected From Tumor-Only 3 4 LOHGIC and All-FIT and be available to researchers and clinicians using the author’s pipeline. Continuous Sequencing—A Quality monitoring of the pipeline and models (here LOHGIC Assurance Strategy and All-FIT) performance and their applicability in the 5,6 real world should be implemented. For example, TO THE EDITOR: controls should be in place to prevent the risk of model I read with great interest the article by Jalloul et al . The drift (ie, when the target population evolves away from authors examined the performance of a gene- the data set used for training). An oversight mecha- independent, information-theoretic pipeline aimed at 5 nism should be in place, with humans being on top accurately categorizing the variants identified by and a QA tactical plan implemented, eg, with audits tumor-only assays as somatic or germline. being conducted on a risk-based cadence to detect First, we would like to congratulate the authors for their potential issues, and as a consequence, models and work. The study is very relevant to the field as the pipeline
JCO: Precision Oncology – Wolters Kluwer Health
Published: Jun 16, 2022
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