Category Archives: Clinical genetics

Unique Labs, Common Tool: Making VarSeq Ready for Clinical Workflows

As VarSeq has been evaluated and chosen by more and more clinical labs, I have come to respect how unique each lab’s analytical use cases are. Different labs may specialize in cancer therapy management, specific hereditary disorders, focused gene panels or whole exomes. Some may expect to spend just minutes validating the analytics and the presence or absence of well-characterized… Read more »

Precision Medicine – Part I

Precision Medicine Initiative On January 30, 2015, the Precision Medicine Initiative was announced by President Obama. Many in our field, researchers and clinicians alike, recognize that such a program would bring additional funding into our space to design, develop and implement new diagnostic tests that are aiding physicians in their practice of precision medicine. Here is what we know. Led by the National Institutes of Health (NIH),… Read more »

Question and Answers: Cancer Gene Panels Webcast

Last week we conducted a webcast on “Cancer Gene Panels”; you can find the recording here. We had some excellent questions which we answered during the webcast and a few more that we didn’t get to in the allotted time. Please find answers to those questions here: 1. Are Cancer Gene Panels just another stepping stone on the way to… Read more »

Analyzing a Unique Family Structure in VarSeq 1.1.1

I am constantly on the lookout for fun or interesting datasets to analyze in SVS or VarSeq and recently came across a study looking into inherited cardiac conduction disease in an extended family (Lai et al. 2013). The researchers sequenced the exomes from five family members including three affected siblings and their unaffected mother and an unaffected child of one… Read more »

Introducing Phenotype Gene Ranking in VarSeq

Personal genome sequencing is rapidly changing the landscape of clinical genetics. With this development also comes a new set of challenges. For example, every sequenced exome presents the clinical geneticist with thousands of variants. The job at hand is to find out which one might be responsible for the person’s illness. In order to reduce the search space, clinicians use various methods… Read more »