# Integrated Exchange and Storage of Current- and Future-Generation Immunogenomic Data

> **NIH NIH R01** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2021 · $377,400

## Abstract

PROJECT SUMMARY/ABSTRACT
The goal of the proposed work is to further develop and integrate our software for the analysis, collection,
exchange and storage (ACES) of all current and future immunogenomic data. The Human Leukocyte Antigen
(HLA) region on human chromosome 6p21 is the most medically important region of the human genome. In the
most successful application of precision medicine to date, matching of HLA genotypes is required for bone
marrow and solid organ transplantation. HLA molecules have functional interactions with Killer cell
Immunoglobulin-like Receptor (KIR) molecules, also recognized to play critical roles in transplantation and
disease. The extensive genetic variation of these immunogenomic loci in human populations also makes them
model systems in health disparities research. However, because these immunogenomic data have been
generated using a wide variety of methods and under different nomenclature systems, cross-study data
compatibility has remained an important and debilitating limitation to the field. Recognizing the need to
consolidate the data and standardize data analysis in such a broad field, we have developed our Push
Immunogenomics to the Next Generation (PING) data-generation system, Toolkit for Immunogenomic Data
Exchange and Storage (TIDES) data-management platform, and our Bridging ImmunoGenomic Data-Analysis
Workflow Gaps (BIGDAWG) data-analysis pipeline for highly polymorphic genomic data. When coupled with
our Genotype List Service, Histoimmunogenetic Markup Language and Minimum Information for Reporting
Immunogenomic NGS Genotyping reporting data-exchange standard, our ACES systems will represent a
significant advance toward the goal of completely integrated exchange and storage of immunogenomic data.
To extend our work of the prior period, we will (1) further develop the TIDES platform as the hub that integrates
these systems, services and standards, centralize consensus sequence as the primary data type in
immunogenomic research and clinical practice, and develop a service for gene feature enumeration (GFE) that
describes HLA and KIR polymorphism by acknowledging underlying gene structure. To facilitate analysis of
these data for research and clinical applications, we will (2) extend our BIGDAWG pipeline to handle new data
input formats, incorporate new analyses, and export new data formats. BIGDAWG will be adapted as TIDES'
primary analysis partner, and will directly, seamlessly accept TIDES outputs. Our tools are designed to
maximize the ongoing utility of immunogenomic data for clinical and basic research science. As leaders in the
immunogenomics field, we are uniquely suited to address the critical unmet need for standardized, robust
ACES of immunogenomic data. The capacity of the systems described here to take these complex, highly
polymorphic and medically important data along a complete pipeline from data generation through high-level
statistical analysis will be a significant milestone toward the ...

## Key facts

- **NIH application ID:** 10112157
- **Project number:** 5R01AI128775-08
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** JILL Allison HOLLENBACH
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $377,400
- **Award type:** 5
- **Project period:** 2017-03-01 → 2022-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10112157

## Citation

> US National Institutes of Health, RePORTER application 10112157, Integrated Exchange and Storage of Current- and Future-Generation Immunogenomic Data (5R01AI128775-08). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10112157. Licensed CC0.

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