Biostatistics Seminar Series, December 4, 2019

The Fred Hutch Biostatics Program hosts weekly seminars featuring presentations by Fred Hutch and outside scientists to share their latest developments and recent research. Each seminar includes an hour-long presentation and discussion during which speakers showcase their work and findings. 

Samuel Minot, Ph.D.
Samuel Minot, Ph.D.

Gene-level Meta-Analysis of Microbiome Association Studies to Identify Robust Human Disease Associations



Researchers frequently use cross-sectional surveys to understand the mechanistic interactions of the microbiome with human health and disease, but it can be difficult to robustly identify biological associations across studies. We have developed a gene-level metagenomic analysis approach which enables cross-study comparisons of fine-grained biological features, but which yields hundreds of thousands of measurements per sample. To mitigate this cost of multiple comparisons, we integrated disease association measures across multiple published studies. In this talk we discuss the statistical approaches employed in this large-scale meta-analysis, as well as the biological interpretation of this novel microbiome-disease association catalog.

Wednesday, December 04, 2019
Start Time:
12 p.m.
Host or Sponsor:
M1-A305/307, Arnold Building, Fred Hutch
Speaker or Presenter:
Contact Information:
Last Modified, November 22, 2019