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A Scalable, Cell-Based Method for the Functional Assessment of Ube3a Variants
Published on: October 10, 2022
Calling Variants in the Clinic: Informed Variant Calling Decisions Based on Biological, Clinical, and Laboratory
Zachary S Bohannan1, Antonina Mitrofanova1
1Rutgers, The State University of New Jersey, School of Health Professions, Department of Health Informatics, 65 Bergen Street, Suite 120, Newark, NJ 07107-1709, United States of America.
Abstract:
Deep sequencing genomic analysis is becoming increasingly common in clinical research and practice, enabling accurate identification of diagnostic, prognostic, and predictive determinants. Variant calling, distinguishing between true mutations and experimental errors, is a central task of genomic analysis and often requires sophisticated statistical, computational, and/or heuristic techniques. Although variant callers seek to overcome noise inherent in biological experiments, variant calling can be significantly affected by outside factors including those used to prepare, store, and analyze samples. The goal of this review is to discuss known experimental features, such as sample preparation, library preparation, and sequencing, alongside diverse biological and clinical variables, and evaluate their effect on variant caller selection and optimization.
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