# Utilizing Polygenic Risk to Understand and Improve Outcomes: A Model for Overturning Health Disparities Through Minority-Enriched Genomics Healthcare

> **NIH NIH U01** · CHILDREN'S HOSP OF PHILADELPHIA · 2024 · $247,457

## Abstract

The goal of this 1-year project is 1) to derive community level social determinants of health and built
environment metrics using geocoding data for each CHOP eMERGE participant, 2) Describe the CHOP
eMERGE population integrating social vulnerability Index (SVI) and built environment (BE Tool) assessment
variables with existing descriptors and 3) evaluate high interest, high influence stakeholders’ perceived utility of
the eMERGE GIRA for T1D, T2D, Obesity and Asthma .
According to the National Academies population descriptors is “a concept of difference or a classification
scheme that categorizes individuals into groups or “populations” based on a perceived characteristic or
dimensions of interest.” Population descriptors can be routed in many population differences including genetics
(DNA Ancestry), societal constructs (race) as well as geographic (nationality and place-based) classifications.
Using the existing geocodes derived from participant addresses, we will compute SVI and BE Tool variables
for CHOP’s eMERGE cohort, describe the population using an expanded set of population descriptors and
engage genetics providers, researchers and trainees regarding perceived utility and equity of polygenic risk
score and multi-ancestry polygenic risk score implementation in diverse populations.

## Key facts

- **NIH application ID:** 11090158
- **Project number:** 3U01HG011175-05S1
- **Recipient organization:** CHILDREN'S HOSP OF PHILADELPHIA
- **Principal Investigator:** Hakon Hakonarson
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $247,457
- **Award type:** 3
- **Project period:** 2020-07-01 → 2026-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11090158

## Citation

> US National Institutes of Health, RePORTER application 11090158, Utilizing Polygenic Risk to Understand and Improve Outcomes: A Model for Overturning Health Disparities Through Minority-Enriched Genomics Healthcare (3U01HG011175-05S1). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/11090158. Licensed CC0.

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