# Biobank, Biostatistics and Bioinformatics

> **NIH NIH P01** · UNIVERSITY OF FLORIDA · 2024 · $360,860

## Abstract

Core B is proposed to provide three separate but highly integrated functions, including: 1) Standardized sample
processing, genotyping, and immunophenotyping; 2) Reliable, secure, high-quality specimen storage within the
UFDI Study Bank with efficient distribution of samples to investigators; and 3) Functional genomics analyses
using both biostatistical and bioinformatic approaches, with this latter Aim representing a new feature of this
Core to support program-wide syngergy and productivity. Specifically, Core B will ensure that high-quality
peripheral blood specimens are promptly processed to serum, plasma, mononuclear cells (PBMC), and DNA
through adherence to established Standard Operating Procedures (SOPs). These samples, as well as induced
pluripotent stem cell (iPSC) lines and gene-edited primary human T cells generated by Projects 2 & 3,
respectively, are stored according to biobanking best practices with barcoded sample tracking as well as
emergency response planning by trained staff. The samples and associated data will be securely managed using
our internal database (Diabase, managed by Core A) that together, tracks sample provenance from the point of
patient consent, through sample and clinical metadata intake, and ultimately, Project data deposition. For all
study specimens, this Core will also continue to perform a series of well-validated assays for immunologic (islet
autoantibodies [AAb] against GAD, IA-2, ZnT8, and insulin; type 1 interferon [T1-IFN] levels using HEK-Blue
reporter cells, complete blood count [CBC], and extensive human immunophenotyping [HIP] by spectral flow
cytometry), metabolic (glucose and HbA1C levels), emerging biomarker (exocrine pancreas enzymes), and
genetic characterization (precision medicine genotyping via our custom Axiom array involving >790K single
nucleotide polymorphism [SNPs]; the UFDIchip). The UFDIchip provides genome-wide coverage for four-digit
HLA resolution, genetic ancestry imputation, calculation of polygenic genetic risk scores (GRS) for type 1
diabetes (T1D), as well as interrogation of known and emerging risk variants. Importantly, these assays will be
performed following clinical laboratory standards, through participation in national/international programs to
assure QA/QC. For example, the Core's performance in the International Autoantibody Standardization Program
(IASP) consistently scores with high sensitivity and specificity. With this, Core B will provide Projects 1, 2 & 3
with uniformly processed samples as well as standardized, high-content, FAIR-compliant datasets that are highly
relevant to the research proposed, in order to optimize multivariable analysis of data generated across the
Program. The UFDI Data Science Team will implement R packages and Shiny applications for pre-processing,
analysis, and integration of single cell multi-omics, high-parameter imaging, and in vitro functional data generated
through the three Projects. Core B will continue to facilitate sharing of...

## Key facts

- **NIH application ID:** 10827409
- **Project number:** 5P01AI042288-26
- **Recipient organization:** UNIVERSITY OF FLORIDA
- **Principal Investigator:** Patrick Concannon
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $360,860
- **Award type:** 5
- **Project period:** 1997-09-30 → 2028-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10827409

## Citation

> US National Institutes of Health, RePORTER application 10827409, Biobank, Biostatistics and Bioinformatics (5P01AI042288-26). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10827409. Licensed CC0.

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