A clinical algorithm to identify people with the glucose-6-phosphate dehydrogenase p.Val68Met variant at risk for diabetes undertreatment.

ABSTRACT:

Purpose

To develop an algorithm using routine clinical laboratory measurements to identify people at risk for systematic underestimation of glycated hemoglobin because of p.Val68Met glucose-6-phosphate dehydrogenase (G6PD) deficiency.

Methods

We analyzed 122,307 participants of self-identified Black race across 4 large cohorts with blood glucose, glycated hemoglobin, and red cell distribution width measurements from a single blood draw. In UK Biobank, we used recursive partitioning to train 2 models to predict possible and likely G6PD deficiency. We validated the algorithm in NIH AllofUs, Vanderbilt BioVU, and the Million Veterans Program. In the Vanderbilt Synthetic Derivative with clinical but no genetic data, we created a cohort of 48,031 participants with type 2 diabetes

SUBMITTER: Pershad Y 

PROVIDER: S-EPMC12681728 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature