Genes involved in many of the known inherited cancer susceptibility syndromes (more than 50 hereditary cancer syndromes described in the scientific literature) have been identified. As such, patients with a family history of certain cancers can perform genetic testing to confirm whether a condition is indeed the result of an inherited syndrome. Additionally, family members who have not (yet) developed a cancer can check if they inherited the same variant as a family member who is known to carry a harmful (cancer susceptibility predisposing) variant. Examples of such genetic tests include BRCA1 and BRCA2 genes associated with hereditary breast and ovarian cancer syndrome (HBOC) and the APC and DNA mismatch repair genes associated with colon cancer.
There are technical and logistical limitations that hinder the identification of individuals at risk for hereditary cancer, resulting in many patients who undergo DNA genetic testing going undiagnosed. In this webinar we will review splicing data obtained from a cohort of over 43,000 individuals tested for cancer predisposition and demonstrate how RNA sequencing improves the diagnostic yield of genetic testing. A splicing profile performed in this clinical cohort demonstrated that over 6% of DNA variants identified result in abnormal splicing. It also led to the detection of novel deep-intronic mutations in patients who otherwise would have a negative or inconclusive result, representing approximately 1% of all pathogenic mutations identified in this study.
Rachid Karam, director of translational and clinical research at Ambry Genetics in Aliso Viejo, California, will:
- Explain current technological limitations to identifying patients with or at risk for hereditary cancer
- Demonstrate how RNA sequencing can improve the positive yield of DNA genetic testing for hereditary cancer
- Highlight results from a cohort of 43,000 individuals tested for cancer predisposition by paired DNA and RNA sequencing
- Provide examples of cryptic “deep-intronic” alterations identified in the cohort
- Answer your questions live during the broadcast.
This webinar will last for approximately 60 minutes.