Validation of <scp>GenProb</scp>‐<scp>T1D</scp> and its clinical utility for differentiating types of diabetes in a biobank from a US healthcare system

Atypical diabetes with overlapping clinical features of type 1 (T1D) and type 2 (T2D) is common and challenging diagnostically and for implementing effective treatment. Here, we validate a recently reported genetic probability of type 1 diabetes (GenProb-T1D) from the UK Biobank (UKB) for differentiating type 1 diabetes and type 2 diabetes in a diabetes patient cohort from a healthcare system-based biobank in the USA. Among 3,363 diabetes patients, we confirmed the performance of GenProb-T1D in differentiating typical type 1 diabetes vs type 2 diabetes. Furthermore, for 359 atypical diabetes patients, those with GenProb-T1D higher than the pre-defined cutoff derived from the UKB had clinical presentations more consistent with that of typical type 1 diabetes. Similar findings were found in participants of European and non-European ancestries. This study provides necessary validation to translate GenProb-T1D into genetic testing in a multi-ancestry cohort. Measuring underlying genetic susceptibility of type 1 diabetes and type 2 diabetes can supplement current clinical tools for earlier and more accurate diagnoses of diabetes.

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Publication Details

Journal
Journal of Diabetes Investigation
Published
2024-08-22
DOI
https://doi.org/10.1111/jdi.14297
Citations
3
Primary Topic
Pancreatic function and diabetes
Type
article
Field-Weighted Citation Impact
1.72

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article

Validation of GenProb‐T1D and its clinical utility for differentiating types of diabetes in a biobank from a US healthcare system

Alan R. Sanders, Henry M. Dunnenberger, Jianfeng Xu, Ashley Mulford et al.
3 citations
Journal of Diabetes Investigation
Pancreatic function and diabetes
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article

Validation of GenProb‐T1D and its clinical utility for differentiating types of diabetes in a biobank from a US healthcare system

Alan R. Sanders, Henry M. Dunnenberger, Jianfeng Xu, Ashley Mulford, Huy Tran, Zhuqing Shi, Peter J. Hulick, Liana K. Billings, Jun Wei, S. Lilly Zheng, Annabelle Ashworth
article en
3 citations

Abstract

Atypical diabetes with overlapping clinical features of type 1 (T1D) and type 2 (T2D) is common and challenging diagnostically and for implementing effective treatment. Here, we validate a recently reported genetic probability of type 1 diabetes (GenProb-T1D) from the UK Biobank (UKB) for differentiating type 1 diabetes and type 2 diabetes in a diabetes patient cohort from a healthcare system-based biobank in the USA. Among 3,363 diabetes patients, we confirmed the performance of GenProb-T1D in differentiating typical type 1 diabetes vs type 2 diabetes. Furthermore, for 359 atypical diabetes patients, those with GenProb-T1D higher than the pre-defined cutoff derived from the UKB had clinical presentations more consistent with that of typical type 1 diabetes. Similar findings were found in participants of European and non-European ancestries. This study provides necessary validation to translate GenProb-T1D into genetic testing in a multi-ancestry cohort. Measuring underlying genetic susceptibility of type 1 diabetes and type 2 diabetes can supplement current clinical tools for earlier and more accurate diagnoses of diabetes.

Journal of Diabetes InvestigationVol. 16(1)
University of Chicago (US)
Eli Lilly and Company, Sanofi, Novo Nordisk
Good health and well-being
Openalex Percentile: Top 15%
Pancreatic function and diabetes
1.72
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