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Dataset Information

Utility of Candidate Genes From an Algorithm Designed to Predict Genetic Risk for Opioid Use Disorder.


ABSTRACT:

Importance

Recently, the US Food and Drug Administration gave premarketing approval to an algorithm based on its purported ability to identify individuals at genetic risk for opioid use disorder (OUD). However, the clinical utility of the candidate genetic variants included in the algorithm has not been independently demonstrated.

Objective

To assess the utility of 15 genetic variants from an algorithm intended to predict OUD risk.

Design, setting, and participants

This case-control study examined the association of 15 candidate genetic variants with risk of OUD using electronic health record data from December 20, 1992, to September 30, 2022. Electronic health record data, including pharmacy records, were accrued from participants in the Million Veteran Program acros

SUBMITTER: Davis CN 

PROVIDER: S-EPMC11718552 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature