# Core C: Biostatistics and Data Integration Core (BDI Core)

> **NIH NIH P01** · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · 2024 · $294,653

## Abstract

ABSTRACT
Precision medicine is an emerging integrative approach for disease prevention, early detection and treatment
that takes into account individual variability in genetics, medical history, environmental exposures, and lifestyle.
Effective precision medicine requires the integration and analysis of complex clinical and molecular data. The
BDI Core will help researchers take advantage of state-of-the-art computational resources for the study of SLE.
The coordination of different data types – clinical, genomics, cellular, and molecular – throughout the process of
data generation and analysis is a critical function that will be accomplished by interactions between the Core and
the Project teams. The goal of the Biostatistics and Data Integration (BDI) Core is to provide researchers with
state-of-the-art computational approaches for the study of SLE. Directed by leading experts in computational
biology and bioinformatics, the BDI Core will provide investigators with assistance in study design; bioinformatics
analysis of clinical and imaging features and bulk- and single-cell omics data; data integration; and data
dissemination across the two proposed projects. The BDI Core will capitalize on our collective experience
analyzing clinical, molecular, immune, and metabolic data in the context of autoimmune disease; our expertise
in multi-modal data analysis methods; and the infrastructure of the UCSF Data Library to support the data
management and analytic efforts of this proposal. In order to provide comprehensive support for data
management and analysis, the BDI Core will; (1) provide necessary bioinformatic processing and statistical
learning support for both projects; and (2) perform integrative analyses to power the multi-modal nature of each
project as well as joint cross-project dataset analyses; (3) establish a robust and secure data storage system
shared across project teams using the UCDL infrastructure. To advance SLE research in the context of precision
medicine, the BDI Core will work in collaboration with the project leaders and investigators to provide tools and
workflows for the analysis and integration of high quality genomic, molecular and clinical data. With those goals
in mind we propose the following tasks: 1) Provide statistical analysis and bioinformatic support for testing project
hypotheses relevant to immune phenotypes and brain functioning in SLE remission. 2) Integrate multi-modal
data to identify defining states of SLE remission based on immune and neurological phenotypes and 3) Develop
and maintain a centralized system of data management and sharing using the UCSF Data Library. The BDI Core
will bring together researchers from different backgrounds and enable investigators whose work can benefit from
access to state-of-the-art computational technologies and approaches, with an overall goal of advancing
precision medicine in rheumatology.

## Key facts

- **NIH application ID:** 10763689
- **Project number:** 1P01AI172523-01A1
- **Recipient organization:** FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH
- **Principal Investigator:** MARINA SIROTA
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $294,653
- **Award type:** 1
- **Project period:** 2024-05-09 → 2029-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10763689

## Citation

> US National Institutes of Health, RePORTER application 10763689, Core C: Biostatistics and Data Integration Core (BDI Core) (1P01AI172523-01A1). Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/grant/nih/10763689. Licensed CC0.

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