# University of Michigan Training Program in Genomic Science

> **NIH NIH T32** · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2021 · $675,065

## Abstract

SUMMARY/ABSTRACT
Large-scale genomics has taken a central role in the biomedical sciences. The increasingly quantitative nature
of biomedical research and the explosive growth of genomic data have resulted in an increasing demand for
individuals trained at the interface of genomics and the mathematical sciences. Recognizing this demand, the
NHGRI has convened multiple workshops over the years focused on quantitative training in genome science.
Workshop reports have consistently noted a critical need in this domain, noting too few scientists trained to
develop methods and tools and to analyze the vast amounts of data generated from genomics studies and
their rapidly emerging technologies. For example, in 2013, NHGRI advisors advocated “maintaining investment
in genomics sciences training while expanding the statistical and informatics component.” The focus on big
data and data science in biomedicine is expanding this need further; in the current NHGRI strategic planning
process, advisors have strongly advocated expanded NHGRI commitment to data science training. The
University of Michigan Genome Science Training Program (GSTP) was one of the first NHGRI-funded T32s.
Now in its 25th year of continuous funding, the GSTP has trained 122 individuals. While the GSTP continues to
evolve to ensure trainees are able to address cutting-edge research questions in genomics, the fundamental
premise of the GSTP remains: that graduates should have substantial training in the mathematical and
biological sciences and at their interface. This training facilitates communication between disciplines,
identification of important problems, and construction of the statistical and computational tools to solve those
problems, and so provides outstanding training for statistical genomicists, genomic epidemiologists,
bioinformaticians, and human molecular genomicists with a strong grounding in statistics and computation. The
GSTP is based in four participating departments: Biostatistics, Epidemiology, Human Genetics, and
Bioinformatics, with additional faculty in Biological Chemistry; Ecology and Evolutionary Biology; Environmental
Health Sciences; Microbiology and Immunology; Nutritional Sciences; and Statistics. We request continued
support for ten predoctoral and three postdoctoral trainees, consistent with the last ten years. The University of
Michigan demonstrates its own commitment to the GSTP with nearly $1 million in additional support. Trainees
will be supported for two years (occasionally three) to provide time to embark on the interdisciplinary training
we have demonstrated is critical to their success. Graduates of the GSTP will continue to help fill the need for
quantitative genome scientists, and in so doing, help the NHGRI achieve its goals of translation of genomic
information into advances in human health.

## Key facts

- **NIH application ID:** 10176550
- **Project number:** 5T32HG000040-27
- **Recipient organization:** UNIVERSITY OF MICHIGAN AT ANN ARBOR
- **Principal Investigator:** MICHAEL L BOEHNKE
- **Activity code:** T32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $675,065
- **Award type:** 5
- **Project period:** 1995-07-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10176550

## Citation

> US National Institutes of Health, RePORTER application 10176550, University of Michigan Training Program in Genomic Science (5T32HG000040-27). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10176550. Licensed CC0.

---

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