# A database for high-resolution chromatin contact maps and human genetic variants

> **NIH NIH R03** · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2020 · $265,495

## Abstract

Abstract
After the completion of the Human Genome Project, several landmarking consortia have accumulated large
amounts of genomic data towards understanding the functions of human genome. The ENCODE project has
annotated genome-wide regulatory elements. The Roadmap Epigenomic project has characterized tissue-specific
variation in epigenetic state. The NIH Common Fund GTEx project has delineated tissue-specific gene expression
and transcription regulation. The NIH Common Fund 4D Nucleome (4DN) project has revealed dynamic 3D
chromatin organization in many cell and tissue types. Each of the aforementioned consortia has generated
thousands or even tens of thousands of datasets, and provided different insights regarding human genome at an
unprecedent scale and depth. However, the datasets generated from these consortia are isolated in terms of cell
types and tissue types covered, how the data are stored, and the resolution of the genomic data. These gaps
bring realistic data analysis challenges to biomedical researchers when they use these public datasets jointly in
their research — they need to go through different data portals with heterogeneous processing pipelines, different
data formats, and unmatched resolutions. We aim to develop the most cutting-edge deep learning approaches to
impute high-resolution chromatin contact maps, and integrate the high-resolution chromatin contact maps with
transcriptional data available from GTEx project and epigenomic data from ENCODE/Roadmap. We plan to
share the integrated data on a public web server with a multi-panel interactive visualization genome browser.
The integrated data will provide an important resource for understanding of tissue-specific genetic variation in the
light of the spatial organization of these genomic and epigenomic elements and their functional implications.

## Key facts

- **NIH application ID:** 10109293
- **Project number:** 1R03OD030599-01
- **Recipient organization:** UNIVERSITY OF MICHIGAN AT ANN ARBOR
- **Principal Investigator:** Jie Liu
- **Activity code:** R03 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $265,495
- **Award type:** 1
- **Project period:** 2020-09-15 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10109293

## Citation

> US National Institutes of Health, RePORTER application 10109293, A database for high-resolution chromatin contact maps and human genetic variants (1R03OD030599-01). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10109293. Licensed CC0.

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