ArticleScientific reports2018
Multilocus genetic risk score for diabetic retinopathy in the Han Chinese population of Taiwan.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Prognostic models of diabetic microvascular complications: a systematic review and meta-analysis.Systematic reviews · 2021Pooled it
- Proteome atlas for mechanistic discovery and risk prediction of diabetic retinopathy.Nature communications · 2025Article
- Polygenic risk score for predicting diabetic retinopathy in patients with type 2 diabetes: A twenty-year follow-up study.World journal of diabetes · 2025Article
- Polygenic risk scores of fasting insulin and insulin-related traits in a Taiwanese Han population.Cell & bioscience · 2025Article
- Drug monitoring in systemic lupus erythematosus.Current opinion in pharmacology · 2022Review
- Predictive model and risk analysis for diabetic retinopathy using machine learning: a retrospective cohort study in China.BMJ open · 2021Article
- Deep Learning for Automated Diabetic Retinopathy Screening Fused With Heterogeneous Data From EHRs Can Lead to Earlier Referral Decisions.Translational vision science & technology · 2021Article
- Multiple Single Nucleotide Polymorphism Testing Improves the Prediction of Diabetic Retinopathy Risk with Type 2 Diabetes Mellitus.Journal of personalized medicine · 2021Article
- Observational
- Lack of association of genetic variants for diabetic retinopathy in Taiwanese patients with diabetic nephropathy.BMJ open diabetes research & care · 2020Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study is to explore the effect of genetic variation on diabetic retinopathy (DR) risk in a Taiwanese population. The logistic regression model was used to evaluate the relationship between DR status and risk factors, including the conventional parameters and genetic risk score (GRS). Candidate single nucleotide polymorphisms (SNPs) in GRS were selected based on previous reports with a combined P < 10
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Registered trials
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