This federal Project Grant award from the National Institute of General Medical Sciences (NIGMS) Biomedical Research and Research Training program (CFDA 93.859) is funding the development of robust statistical methods for analyzing longitudinal microbiome studies. The $854,736 award to Weill Medical College of Cornell University aims to address critical gaps in methodology for analyzing large-scale longitudinal microbiome data, including: 1) addressing batch effects, 2) identifying taxa associated with biomedical outcomes over time, 3) modeling microbiome interaction network dynamics, and 4) visualizing longitudinal microbiome profiles.
The project involves two key sub-awards - one to Dr. Michael Wu at the Fred Hutchinson Cancer Research Center to lead the development of longitudinal microbiome visualization approaches, and another to Dr. Ni Zhao at Johns Hopkins University to create robust statistical models for microbiome network analysis and differential abundance testing. The work is motivated by and intended to enable analyses within three major longitudinal microbiome studies focused on populations with diabetes, kidney transplants, and bone marrow transplants. Overall, the goal is to develop advanced statistical tools to accelerate understanding of the microbiome's role in various diseases and inform the design of microbiota-based interventions.
Generated 3/25/25, 3:11 AM