Algorithms for the identification of prevalent diabetes in the All of Us Research Program validated using polygenic scores.

ABSTRACT: The All of Us Research Program (AoU) is an initiative designed to gather a comprehensive and diverse dataset from at least one million individuals across the USA. This longitudinal cohort study aims to advance research by providing a rich resource of genetic and phenotypic information, enabling powerful studies on the epidemiology and genetics of human diseases. One critical challenge to maximizing its use is the development of accurate algorithms that can efficiently and accurately identify well-defined disease and disease-free participants for case-control studies. This study aimed to develop and validate type 1 (T1D) and type 2 diabetes (T2D) algorithms in the AoU cohort, using electronic health record (EHR) and survey data. Building on existing algorithms and using diagnosis codes, med

SUBMITTER: Szczerbinski L 

PROVIDER: S-EPMC11542015 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature