Characterization of Genetic and Epigenetic Variation Data in Tumors

The genetic variation found among individuals results in patterns of polymorphisms passed down through generations. This evolutionary variation typically holds true for individuals, samples from the same population or subpopulation, and cells taken from a single tumor.

In this webinar, Dr. Paul Marjoram will explore how statistical analysis of polymorphism data can be used to examine a number of issues relating to cancer, including:

• how patterns of polymorphism induced by somatic mutation in tumors can be best understood and then used to differentiate tumor types or sub-types.
• how epigenetic polymorphism, or lack thereof, can be exploited to reveal a single gene of “importance.”
• how genetic polymorphism within a single tumor can be used to address questions about the makeup of that tumor (i.e., “How many stem cells does this tumor have?”).

Using a statistical perspective, Dr. Marjoram shows how Big Data can be used to investigate the genetic and epigenetic variations underlying cancer.