Improving detection of monogenic diabetes through reanalysis of <i>GCK</i> variants of uncertain significance

Files

s00592-025-02449-8.pdf (814.31 KB)
  (Published version)

Date

2025

Authors

De Sousa, S.M.C.
Phan, J.M.N.
Wells, A.
Wu, K.H.C.
Scott, H.S.

Editors

Advisors

Journal Title

Journal ISSN

Volume Title

Type:

Journal article

Citation

Acta Diabetologica, online, 2025; online(8)

Statement of Responsibility

Conference Name

Abstract

<jats:title>Abstract</jats:title> <jats:sec> <jats:title>Aims</jats:title> <jats:p>To assess the utility of reanalysing <jats:italic>GCK</jats:italic> variants of uncertain significance (VUS) as an intervention to improve the detection of monogenic diabetes.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>We examined <jats:italic>GCK</jats:italic> VUS in a local cohort of individuals with suspected monogenic diabetes and re-curated each variant against the recent ClinGen <jats:italic>GCK</jats:italic>-specific variant classification guidelines.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>Variant reanalysis achieved a new ‘likely pathogenic’ classification (i.e., positive results) in 4/8 identified VUS. The single most common newly applied criterion indicating variant pathogenicity was a confirmed phenotype of <jats:italic>GCK</jats:italic>-hyperglycaemia. RNA sequencing and segregation studies were performed in two cases but not additive to reclassification.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions</jats:title> <jats:p>This is the first VUS reclassification study in monogenic diabetes using gene-specific guidelines. Within the limits of this small study, we observed a high rate (50%) of VUS upgrades to a positive result, thereby confirming the utility of VUS reanalysis– particularly with biochemical phenotyping– in increasing the detection of monogenic diabetes. We recommend HbA1c, fasting blood glucose and either pancreatic autoantibody negativity or a small oral glucose tolerance test increment as a feasible minimum dataset to inform variant classification at the individual patient level, noting the ongoing work of the ClinGen Monogenic Diabetes Expert Panel in systematically reviewing <jats:italic>GCK</jats:italic> variants at the international level.</jats:p> </jats:sec>

School/Discipline

Dissertation Note

Provenance

Description

Link to a related website: https://doi.org/10.1007/s00592-025-02467-6, Correction

Access Status

Rights

Copyright 2025 The Authors. (http://creativecommons.org/licenses/by/4.0/) Access Condition Notes: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

License

Grant ID

Call number

Persistent link to this record