Type 1 diabetes in diverse ancestries and the use of genetic risk scores
- PMID: 35724677
- PMCID: PMC10024251
- DOI: 10.1016/S2213-8587(22)00159-0
Type 1 diabetes in diverse ancestries and the use of genetic risk scores
Abstract
Over 75 genetic loci within and outside of the HLA region influence type 1 diabetes risk. Genetic risk scores (GRS), which facilitate the integration of complex genetic information, have been developed in type 1 diabetes and incorporated into models and algorithms for classification, prognosis, and prediction of disease and response to preventive and therapeutic interventions. However, the development and validation of GRS across different ancestries is still emerging, as is knowledge on type 1 diabetes genetics in populations of diverse genetic ancestries. In this Review, we provide a summary of the current evidence on the evolutionary genetic variation in type 1 diabetes and the racial and ethnic differences in type 1 diabetes epidemiology, clinical characteristics, and preclinical course. We also discuss the influence of genetics on type 1 diabetes with differences across ancestries and the development and validation of GRS in various populations.
Copyright © 2022 Elsevier Ltd. All rights reserved.
Conflict of interest statement
Declaration of interests RAO received a grant from UK Medical Research Council to partner with Randox for type 1 diabetes GRS biochip development. This work was supported by National Institute of Health grants (grant number R01 DK124395, MJR, RAO, DD, and WAH; R01 DK121843, MJR, RAO, SOG, and SSR; R01 HG010297, CRG and SSR; R01 HG011345, CRG; R01 HL151152, CRG and SSR; DP3 DK111906, SSR; R01 DK122586, SSR; and U01 HG011723, SSR). Funding sources had no role in the writing of this review or the decision to submit the paper for publication. All other authors declare no competing interests. The Lancet Group takes a neutral position with respect to territorial claims in published maps and institutional affiliations.
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