# Computational Genomic Epidemiology of Cancer (CoGEC) Training Program

> **NIH NIH T32** · CASE WESTERN RESERVE UNIVERSITY · 2021 · $302,251

## Abstract

Abstract
Undertaking innovative cancer research requires input from teams of scientists with a mixture of backgrounds,
including molecular biology, oncology, medicine, epidemiology, biostatistics, genomics/genetics,
bioinformatics, and computer science. Researchers with interdisciplinary training across these fields are
extremely valuable to such teams, as they can act as conduits for the integrated work necessary to accomplish
some of the most promising and forward-looking cancer research. Due to the exclusive nature of training within
these fields, however, there are limited opportunities for investigators to obtain the knowledge that bridges
these disciplines. To help remedy this problem, we propose here the continuation of this T32 program to
provide postdoctoral Training in the Computational Genomic Epidemiology of Cancer (CoGEC) at Case
Comprehensive Cancer Center. This program defines a novel, transdisciplinary area of training at the
intersection of cancer research, epidemiology, biostatistics, genetics, and computer science. The program’s
structure is defined by three key requirements. First, all trainees will take a specialized core curriculum of five
courses that cover the individual disciplines as well as their intersections . Second, the trainees will undertake
additional didactic experiences selected to complement their educational and research background. Third, all
trainees will obtain research experience by collaborating with multiple mentors on high-level computational
genomic epidemiology of cancer projects. As an extension of this research experience, each trainee will be
required to write and defend a mock NIH proposal. Cancer researchers obtaining training in this program will
have the skills vital to deciphering the complex pathways comprising genetic and environmental risk factors for
disease. In doing so, they will ultimately be able to provide clinicians and their patients with invaluable
information for the prevention and treatment of cancer.

## Key facts

- **NIH application ID:** 10215403
- **Project number:** 5T32CA094186-20
- **Recipient organization:** CASE WESTERN RESERVE UNIVERSITY
- **Principal Investigator:** Rong Xu
- **Activity code:** T32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $302,251
- **Award type:** 5
- **Project period:** 2017-08-01 → 2023-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10215403

## Citation

> US National Institutes of Health, RePORTER application 10215403, Computational Genomic Epidemiology of Cancer (CoGEC) Training Program (5T32CA094186-20). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10215403. Licensed CC0.

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