SeraCare’s clinical genomics technologies are developed to address challenges faced across the spectrum of NGS assays. From early development of assays – either IVD assay manufacturers or clinical labs building their own LDTs - there is a scarcity of characterized, complex, difficult variants to ensure the assay can robustly detect all the critical genomic variants in a patient sample. Using our highly characterized, reproducible, and GMP-grade NGS standards, laboratories have a wide range of analytical and clinical validation tools to deeply characterize assay performance such as LOD, linearity, specificity, sensitivity, and reproducibility.
One of several important steps in next-generation sequencing (NGS) is tuning the many options provided by mutation callers. Providing values for options configures the signal to noise ratio of the impending mutation calls. In theory, providing values that increase the stringency of mutation calls will reduce the number of false positive calls and thus enrich for true positives. In practice, increasing stringency can eliminate true positives.
An important goal in cancer disease management is early detection. When detected early, disease progression can be significantly mitigated with a plethora of options (targeted therapy, chemotherapy, surgery, etc.) available to medical practitioners, to afford progression free survival and a higher quality of life. A great promise of liquid biopsies is the possibility of early detection of cancer long before clear evidence of lesions and tumor growth observable by imaging or other techniques.1 As proxy for solid tissue biopsies, plasma-based liquid biopsy application is rapidly gaining traction in cancer disease diagnosis, progression, monitoring, and in predicting resistance to treatment options.2
Highly multiplexed reference materials are particularly valuable when developing and optimizing new NGS assays because they allow you to evaluate the performance of your assay across a large number of variants including different variant types (SNVs, indels, homopolymeric variants, etc.) and contexts. However, it can be frustrating when a variant in the reference material is not detected, or not detected at the expected variant allele frequency. Troubleshooting such issues can give new insight into the performance of the assay. Here we share some stories from Seraseq™ users where the lack of detection of one or more variants at the expected levels helped them improve their assay or set more appropriate QC thresholds.
Introducing the SeraCare Confidence Score, a comprehensive precision metric designed for NGS assays
There is an even greater onus to track quality control metrics for NGS assays because of the number of steps and elements that must successfully work together to produce consistent results. The Standards and Guidelines for Validating NGS Bioinformatics, published in January by AMP and CAP, highlight the importance of tracking QC metrics over time because “trends in these metrics can indicate an emerging issue with an NGS process that has not yet manifested itself in failed tests.”
SeraCare Life Sciences, in partnership with GenomeWeb, recently offered this exciting on-demand webinar:
Next-generation sequencing (NGS) allows deeper insights than ever before into the human genome and a host of diseases and conditions. So it makes sense that there is a worldwide movement to employ NGS in a growing number of applications. But as the saying goes, with great power comes great responsibility.
Simply described, copy number variations (CNVs) are DNA segments present at a variable copy number in comparison to a normal genome. It was originally thought that a CNV consisted of a region of greater than 1 kilobases, however advances in technology have allowed for identification of CNVs as small as 50 basepairs1.
Clinical labs must constantly evolve their test offerings in order to support the most recent advances in clinical care. For next-generation sequencing (NGS) tumor profiling assays, there are often multiple commercially available kits with similar claims for gene content and sensitivity, as well as customized solutions. How can you quickly perform an effective evaluation of available assay systems to make a data-driven choice?