Advances in sequencing technologies allow scientists to uncover unique somatic and germline mutations that drive cancer. However, the large amount of data and complex bioinformatics involved in somatic and germline mutational analysis is challenging for clinical applications. Clinicians need efficient variant annotation systems to collect, aggregate, and unify genetic data across various sources, and garner reliable information on variants.
Download this white paper from QIAGEN to learn about the Human Somatic Mutation Database (HSMD) and the Human Gene Mutation Database (HGMD)—two expert-curated databases that help clinical labs:
- Identify actionable data in complex reports, evaluate their clinical effects, and find appropriate clinical options for patients
- Distinguish between variants of uncertain significance (VUS) and actionable variants
- Avoid unnecessary and potentially harmful treatments caused by over-interpretation of VUS
- Customize gene panels for different cancer types and analyze molecular tumor heterogeneity