# Harvard Training Program in Bioinformatics Applied to Diabetes, Obesity and Metabolism.

> **NIH NIH T32** · MASSACHUSETTS GENERAL HOSPITAL · 2021 · $243,768

## Abstract

ABSTRACT
Over the past decade we have witnessed transformative technological and analytical advances
which can query biological systems in a global manner, typically across a select axis in the
molecular spectrum. The comprehensive study of genes, gene marks, transcripts, proteins,
small molecules, and their interactions have generated enormous data sets that reflect a
specific metabolic, developmental or tissue state. Increasingly this activity has been feasible in
the organism most relevant to disease, the human: when coupled with the rich clinical and
phenotyping information available in observational cohorts, clinical trials or the electronic
medical record, tremendous inferences can be made to derive pathophysiological insight.
This type of activity has produced a trove of information relevant to type 2 diabetes, obesity and
related metabolic traits. There is an urgent need to attract investigators experienced in
mathematics, statistics, computational biology and bioinformatics to the analysis and
interpretations of such data, and to equip investigators who have an interest in these
phenotypes with the tools and skills required to extract valuable knowledge. In this proposal, we
have assembled a team of three dozen accomplished investigators across the Harvard system
who have cutting-edge capabilities in each of the pertinent skill sets, and whose track record
supports a declared interest in metabolic disease. This training grant will leverage their
complementary expertise by funding eight selected trainees, providing them with dedicated
instruction, and pairing them with faculty mentors who can provide rigorous training in a
multidisciplinary setting pertinent to diseases of interest to the NIDDK.

## Key facts

- **NIH application ID:** 10251889
- **Project number:** 5T32DK110919-05
- **Recipient organization:** MASSACHUSETTS GENERAL HOSPITAL
- **Principal Investigator:** JOSE CARLOS FLOREZ
- **Activity code:** T32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $243,768
- **Award type:** 5
- **Project period:** 2017-09-01 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10251889

## Citation

> US National Institutes of Health, RePORTER application 10251889, Harvard Training Program in Bioinformatics Applied to Diabetes, Obesity and Metabolism. (5T32DK110919-05). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10251889. Licensed CC0.

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