FHS Seminar Series - Statistical Approaches for Association Analysis of Cancer Somatic Mutation Data

by Dr. Chad He, Assistant Member,Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle

March 23, 2017

Event Type

Seminar Series


March 23, 2017 at 12:00 pm to 1:15 pm


Blusson Hall Room 9920

Somatic mutations are the driving forces for tumor development, and recent advances in cancer genome sequencing have made it feasible to evaluate the association between somatic mutations and cancer-related traits in large sample sizes. However, despite increasingly large sample sizes, it remains challenging to conduct statistical analysis for somatic mutations, because the vast majority of somatic mutations occur at very low frequencies. In this talk, I will review the challenges and issues associated with somatic mutation analysis, and describe available methods for analyzing the data. I will also introduce a new approach that we recently developed, and show that this approach can improve statistical power in detecting somatic mutations that are involved in cancer etiology.

Dr. He is currently a faculty member at the Fred Hutchinson Cancer Research Center, a world-renowned institution for cancer research and treatment. He received an interdisciplinary training in both biology and statistics, and has been developing novel statistical methods and computational software for analyzing high-throughput genomic data. He has been involved in many large-scale epidemiological studies and made significant contributions to the discovery of a number of new loci for cancer and other human diseases. He is the winner of Young Investigator Award from American Statistical Association, and his research covers high dimensional analysis, multivariate-outcome analysis and machine-learning methods. 


* This Seminar Series is open to the SFU Research Community.  

*  A light lunch will be available at this seminar.  

* The FHS Research Seminar Series is an Accredited Small Group Learning by the Royal College of Physicians and Surgeons.