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

Children'S Hosp Of Philadelphia, Philadelphia PA

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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.