# Nutrition, Biostatistics & Bioinformatics Training Grant

> **NIH NIH T32** · TEXAS A&M UNIVERSITY · 2020 · $280,712

## Abstract

Project Summary/Abstract
This is a continuation proposal that will transition us from the R25T mechanism (that no longer
exists) to the T32 mechanism. Our goal in this continuation proposal is to train statistically and
computationally oriented individuals (Biostatisticians, Statisticians, Engineers, Computer
Scientists, etc.) to function as independent researchers in a multidisciplinary environment
focusing on cancer research, researchers who are trained in the fundamentals of Nutrition and
Cancer. To achieve this goal we have assembled a team specializing in Biostatistics/Statistics,
Bioinformatics, Nutrition and multiple aspects of Cancer. As of January 1, 2016, 26 post-
doctoral trainees have completed the program and 1 will be enrolled. We have deliberately
reduced the number of trainees due to the uncertainty about continued funding.
The Program has the following important aspects.
1) The training is fully multidisciplinary.
 a) We focus on training statistically and computationally oriented individuals in the biology
 of Nutrition and Cancer, creating researchers who understand the underlying
 mechanisms of action in the relationship between Nutrition and Cancer. Such
 understanding will allow our trainees to contribute at the highest level to the design and
 analysis of experiments in the area, and to develop fine-tuned statistical methods truly
 appropriate for the experimental data.
 b) The statistical and computational methods learned will not typically be from formal
 courses, but as they arise from experimental data in nutrition laboratories.
 c) The training will include initial rotations through 3 laboratories; a rotation with the Texas
 A&M Genomics Facility Quantitative Biology Core, the co-director of which is a diet
 chemoprevention cancer biologist in our training program; a rotation through the newly
 created metabolomics facility, the director of which is a mentor in our training program;
 followed by intensive long-term training in a single laboratory.
2) Each trainee will have at least two mentors.
 a) A Nutritionist or Cancer research specialist whose research focuses on cancer etiology
 and prevention. The trainee will be expected to become a full member of the biologist's
 laboratory, including spending significant time in the laboratory, attending laboratory
 meetings, consulting for the graduate students and postdoctoral researchers in the
 laboratory, supervising the analysis of experimental data and eventually posing new
 problems and approaches.
 b) A Biostatistician or other computationally oriented individual. Our team includes experts
 in the analysis of experimental data arising from Nutrition and Cancer, particularly those
 of a longitudinal nature; the analysis of high throughput expression data; the analysis of
 proteomics data; the construction and the control of gene regulatory networks, etc.
3) The Principal Investigator (Raymond J. Carroll, Ph.D., a Biostatistician) will continue to
 devote a significant...

## Key facts

- **NIH application ID:** 9977972
- **Project number:** 5T32CA090301-20
- **Recipient organization:** TEXAS A&M UNIVERSITY
- **Principal Investigator:** Raymond J. Carroll
- **Activity code:** T32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $280,712
- **Award type:** 5
- **Project period:** 2016-09-15 → 2021-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9977972

## Citation

> US National Institutes of Health, RePORTER application 9977972, Nutrition, Biostatistics & Bioinformatics Training Grant (5T32CA090301-20). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9977972. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*