Validation of GenProbT1D and its clinical utility for differentiating types of diabetes in a biobank from a US healthcare system

Author:

Billings Liana K.12,Shi Zhuqing1,Mulford Ashley J.1,Wei Jun1,Tran Huy1,Ashworth Annabelle1,Zheng S. Lilly1,Dunnenberger Henry M.1,Hulick Peter J.1,Sanders Alan R.12,Xu Jianfeng12ORCID

Affiliation:

1. Endeavor Health Evanston IL USA

2. University of Chicago Pritzker School of Medicine Chicago IL USA

Abstract

ABSTRACTAtypical 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.

Publisher

Wiley

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