Robust statistical methods for longitudinal microbiome studies

Active Project Grant Awarded Last action

Award ID
R01GM155734
Recipient
Awarding agency
Obligated
$1,635,704

Award facts

Assistance listing
93.859 Biomedical Research and Research Training
Completion date 44% complete
Place of performance
New York, NY 10065, USA

Award details come from USAspending.gov.

Description

As the agency reported it.

Abstract
Large-scale longitudinal microbiome studies are increasingly common as they allow investigators to study temporal patterns of the microbiome, elucidating the forces that shape the microbiome and enabling the development of microbiota-based interventions. Unfortunately, despite the potential of longitudinal microbiome studies, few methods exist for analyzing these studies. Also, the few extant tailored methods are limited, either failing to accommodate the characteristics of microbiome data or failing to properly accommodate the longitudinal structure, leading to potentially spurious findings. This proposal aims to fill the critical gaps in methodology by addressing four major areas. Specifically, we aim to develop a comprehensive and coherent suite of statistical tools for (1) addressing batch effects in longitudinal microbiome data - a pressing problem as studies are getting bigger or integrated; (2) improved identification of individual taxa associated with crucial biomedical exposures or outcomes over time; (3) identifying microbiome interaction network dynamics between taxa within longitudinal microbiome data; (4) visualizing the longitudinal microbiome data. These approaches are all based on rigorous prior data emphasizing the importance of the problems as well as the limitations or absence of existing strategies. Our work is motivated by and will directly enable analyses within three important longitudinal microbiome profiling studies: few studies have the combination of large cohorts of patients with numerous follow-UPS and rich covariates. Consequently, our methods have the potential to accelerate understanding of the roles of the microbiome in diseases and therapeutics, especially in the motivating studies that include populations of infants with diabetes and immunocompromised individuals (patients undergoing kidney or bone marrow transplant). Ultimately, the deployment of our methods could guide the design and development of novel microbiota-based preventive and therapeutic interventions.

Transactions

Action Obligated Date
Amendment $390,484
Amendment $390,484
Amendment $0
Amendment $0
Amendment $0
Amendment $427,368
Original award $427,368

Subawards

Subrecipient Amount Awarded
The Johns Hopkins University PI: Ni Zhao Title: Robust Statistical Methods for Longitudinal Microbiome Studies STATEMENT OF WORK Dr. Zhao’s work will mainly focus on the Aim 3 of… $224,980
The Trustees Of The University Of Pennsylvania Together with Dr. Wodan Ling (PI of the grant), Dr. John Lee (Co-Investigator) from Perelman School of Medicine at the University of Pennsylvania will provide… $72,893
Fred Hutchinson Cancer Research Center As a researcher in statistics with recent focus on microbiome data analysis, Dr. Michael Wu is excited to participate in this project, “Robust Statistical… $75,794

Quick answers

Who received award R01GM155734?

R01GM155734 was awarded to Weill Medical College Of Cornell University by National Institute of General Medical Sciences (National Institutes of Health) on September 25, 2024.

How much is award R01GM155734 worth?

$1,635,704 has been obligated on R01GM155734.

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