Genome-wide polygenic risk score for retinopathy of type 2 diabetes
- PMID: 33704450
- PMCID: PMC8165647
- DOI: 10.1093/hmg/ddab067
Genome-wide polygenic risk score for retinopathy of type 2 diabetes
Abstract
Diabetic retinopathy (DR) is a common consequence in type 2 diabetes (T2D) and a leading cause of blindness in working-age adults. Yet, its genetic predisposition is largely unknown. Here, we examined the polygenic architecture underlying DR by deriving and assessing a genome-wide polygenic risk score (PRS) for DR. We evaluated the PRS in 6079 individuals with T2D of European, Hispanic, African and other ancestries from a large-scale multi-ethnic biobank. Main outcomes were PRS association with DR diagnosis, symptoms and complications, and time to diagnosis, and transferability to non-European ancestries. We observed that PRS was significantly associated with DR. A standard deviation increase in PRS was accompanied by an adjusted odds ratio (OR) of 1.12 [95% confidence interval (CI) 1.04-1.20; P = 0.001] for DR diagnosis. When stratified by ancestry, PRS was associated with the highest OR in European ancestry (OR = 1.22, 95% CI 1.02-1.41; P = 0.049), followed by African (OR = 1.15, 95% CI 1.03-1.28; P = 0.028) and Hispanic ancestries (OR = 1.10, 95% CI 1.00-1.10; P = 0.050). Individuals in the top PRS decile had a 1.8-fold elevated risk for DR versus the bottom decile (P = 0.002). Among individuals without DR diagnosis, the top PRS decile had more DR symptoms than the bottom decile (P = 0.008). The PRS was associated with retinal hemorrhage (OR = 1.44, 95% CI 1.03-2.02; P = 0.03) and earlier DR presentation (10% probability of DR by 4 years in the top PRS decile versus 8 years in the bottom decile). These results establish the significant polygenic underpinnings of DR and indicate the need for more diverse ancestries in biobanks to develop multi-ancestral PRS.
© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
Figures
Similar articles
-
Ancestry effects on type 2 diabetes genetic risk inference in Hispanic/Latino populations.BMC Med Genet. 2020 Jun 25;21(Suppl 2):132. doi: 10.1186/s12881-020-01068-0. BMC Med Genet. 2020. PMID: 32580712 Free PMC article.
-
Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations.Genome Med. 2022 Jun 29;14(1):70. doi: 10.1186/s13073-022-01074-2. Genome Med. 2022. PMID: 35765100 Free PMC article.
-
Impact of the trans-ancestry polygenic risk score on type 2 diabetes risk, onset age and progression among population in Taiwan.Am J Physiol Endocrinol Metab. 2024 May 1;326(5):E547-E554. doi: 10.1152/ajpendo.00252.2023. Epub 2024 Feb 16. Am J Physiol Endocrinol Metab. 2024. PMID: 38363735
-
Prognostic factors for the development and progression of proliferative diabetic retinopathy in people with diabetic retinopathy.Cochrane Database Syst Rev. 2023 Feb 22;2(2):CD013775. doi: 10.1002/14651858.CD013775.pub2. Cochrane Database Syst Rev. 2023. PMID: 36815723 Free PMC article. Review.
-
Clinical use of current polygenic risk scores may exacerbate health disparities.Nat Genet. 2019 Apr;51(4):584-591. doi: 10.1038/s41588-019-0379-x. Epub 2019 Mar 29. Nat Genet. 2019. PMID: 30926966 Free PMC article. Review.
Cited by
-
Association of polymorphisms in the erythropoietin gene with diabetic retinopathy: a case-control study and systematic review with meta-analysis.BMC Ophthalmol. 2022 Jun 4;22(1):250. doi: 10.1186/s12886-022-02467-y. BMC Ophthalmol. 2022. PMID: 35659624 Free PMC article.
-
Understanding Insulin in the Age of Precision Medicine and Big Data: Under-Explored Nature of Genomics.Biomolecules. 2023 Jan 30;13(2):257. doi: 10.3390/biom13020257. Biomolecules. 2023. PMID: 36830626 Free PMC article. Review.
-
Genome-Wide Associations and Confirmatory Meta-Analyses in Diabetic Retinopathy.Genes (Basel). 2023 Mar 5;14(3):653. doi: 10.3390/genes14030653. Genes (Basel). 2023. PMID: 36980925 Free PMC article.
-
Development of a Polygenic Risk Score for BMI to Assess the Genetic Susceptibility to Obesity and Related Diseases in the Korean Population.Int J Mol Sci. 2023 Jul 17;24(14):11560. doi: 10.3390/ijms241411560. Int J Mol Sci. 2023. PMID: 37511320 Free PMC article.
-
Association of SDF-1 and its receptor CXCR4 polymorphisms on the susceptibility of diabetic retinopathy in the Taiwanese population.Front Genet. 2023 Nov 23;14:1296773. doi: 10.3389/fgene.2023.1296773. eCollection 2023. Front Genet. 2023. PMID: 38075689 Free PMC article.
References
-
- Zheng, Y., Ley, S.H. and Hu, F.B. (2018) Global aetiology and epidemiology of type 2 diabetes mellitus and its complications. Nat. Rev. Endocrinol., 14, 88–98. - PubMed
-
- Unnikrishnan, R., Pradeepa, R., Joshi, S.R. and Mohan, V. (2017) Type 2 diabetes: demystifying the global epidemic. Diabetes, 66, 1432–1442. - PubMed
-
- Stolar, M. (2010) Glycemic control and complications in type 2 diabetes mellitus. Am. J. Med., 123, S3–S11. - PubMed
-
- Frank, R.N., Keirn, R.J., Kennedy, A. and Frank, K.W. (1983) Galactose-induced retinal capillary basement membrane thickening: prevention by Sorbinil. Investig. Opthalmology Vis. Sci., 24, 1519–1524. - PubMed
-
- Engerman, R.L. and Kern, T.S. (1984) Experimental galactosemia produces diabetic-like retinopathy. Diabetes, 33, 97–100. - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical