In this webinar, we present a case study on Lynch syndrome (LS), a hereditary condition characterized by a high risk of colorectal cancer, endometrial cancer, and other neoplasia that typically manifests in the context of germline variants in DNA mismatched genes. 
To study whether other germline pathogenic variants of hereditary cancer genes are present in patients previously diagnosed with LS, the researchers analyzed a comprehensive panel of cancer-predisposing genes by NGS among 84 LS probands.

With this study as an example, we will illustrate how you can use your own data and public data to conduct translational research using 3 software solutions from QIAGEN.

This webinar will focus on the following elements:

  • Data analysis – How you can efficiently retrieve and process FASTQ data with accurate variant interpretation using CLC Genomics Workbench
  • Interpretation – How you can take a set of variants and rapidly assess sample variants for disease relevance and pathogenicity using QCI Interpret Translational
  • Discovery – How you can combine results and contextualize variant biomarkers with other public datasets using QIAGEN Ingenuity Pathway Analysis (IPA)
About the speaker
Eric Seiser, PhD, Senior Field Applications Scientist
QIAGEN Digital Insights
Dr. Eric Seiser is a Senior Field Applications Scientist with QIAGEN Digital Insights. Eric has a Master’s degree in bioinformatics and a PhD in functional genomics. His previous research focused on pediatric cancer biology at the Children’s Hospital of Philadelphia, the comparative oncology of genomic alterations in dog cancers at NC State University, and cancer pharmacogenetics at UNC.
Date of recording:Tuesday, 7 December 2021
Duration:45 minutes
Human Genetics
Bioinformatics - Clinical Interpretation and Reporting
Informatics & Data