P036: Estimating incidence and exploring phenotypic spectrum of X-linked disorders of purine metabolism in All of Us

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Authors: Grace Zhang, Katharine Chaillet, Jonas Ladenson, Shannon Haines, Matthew Berns, Huan Mo, Oleg A. Shchelochkov
Cited by: 0

Abstract

Prior studies on HPRT1- and PRPS1-related disorders, both X-linked conditions, have utilized phenotypically ascertained cohorts to determine their prevalence, genotype-phenotype associations, and phenotypic spectrum. While informative, this ascertainment method introduces biases in interpreting the degree of phenotypic manifestations and variant pathogenicity, while also limiting investigation of pleiotropy. In this study, we adopted a genotype-first approach using a bioinformatics variant filtering pipeline and the All of Us EHR-linked population database to identify putative pathogenic variants in HPRT1 and PRPS1, estimate live birth incidence, and explore phenotypic associations.

Fields of Study & Subjects

Biochemical and Molecular Research Genomics and Rare Diseases Metabolism and Genetic Disorders

Publication details

Journal / source
Genetics in Medicine Open
Volume
4
Pages
103527–103527
Publication date
1 January 2026
Language
EN