ArticleDiabetologia2015
Common variants in or near ZNRF1, COLEC12, SCYL1BP1 and API5 are associated with diabetic retinopathy in Chinese patients with type 2 diabetes.
Article in Diabetologia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.
- Genome Wide Association Study (GWAS) Identifies Novel Genetic Loci for Second-Generation Antipsychotics (SGA)-Induced Metabolic Syndrome (MetS).Clinical and translational science · 2025Pooled it
- Pooled it
- Proteome atlas for mechanistic discovery and risk prediction of diabetic retinopathy.Nature communications · 2025Article
- Transcription factors and candidate functional SNPs associated with variation in fatty acid composition from skeletal muscle of pigs.Animal genetics · 2025Article
- Precision Medicine for Diabetic Retinopathy: Integrating Genetics, Biomarkers, Lifestyle, and AI.Genes · 2025Review
- Development of electronic health record based algorithms to identify individuals with diabetic retinopathy.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Adaptive selection at G6PD and disparities in diabetes complications.Nature medicine · 2024Article
- Molecular subtypes explain lupus epigenomic heterogeneity unveiling new regulatory genetic risk variants.NPJ genomic medicine · 2024Article
- Revisiting Retinal Degeneration Hallmarks: Insights from Molecular Markers and Therapy Perspectives.International journal of molecular sciences · 2023Review
- Epigenome-Wide Changes in the Cell Layers of the Vein Wall When Exposing the Venous Endothelium to Oscillatory Shear Stress.Epigenomes · 2023Article
- Urinary complement profile in IgA nephropathy and its correlation with the clinical and pathological characteristics.Frontiers in immunology · 2023Article
- ITGA2 Gene Polymorphism Is Associated with Type 2 Diabetes Mellitus in the Kazakhstan Population.Medicina (Kaunas, Lithuania) · 2022Article
- Identification of candidate biomarkers and pathways associated with type 1 diabetes mellitus using bioinformatics analysis.Scientific reports · 2022Article
- Exploration of shared TF-miRNA‒mRNA and mRNA-RBP-pseudogene networks in type 2 diabetes mellitus and breast cancer.Frontiers in immunology · 2022Article
- The Role of FGF19 and MALRD1 in Enterohepatic Bile Acid Signaling.Frontiers in endocrinology · 2021Review
- Possible Modifying Effect of Hemoglobin A1c on Genetic Susceptibility to Severe Diabetic Retinopathy in Patients With Type 2 Diabetes.Investigative ophthalmology & visual science · 2020Article
- Obesity-induced excess of 17-hydroxyprogesterone promotes hyperglycemia through activation of glucocorticoid receptor.The Journal of clinical investigation · 2020Article
- Unraveling the role of genetics in the pathogenesis of diabetic retinopathy.Eye (London, England) · 2019Review
- Golgi Structure and Function in Health, Stress, and Diseases.Results and problems in cell differentiation · 2019Review
- Genome-wide association studies for diabetic macular edema and proliferative diabetic retinopathy.BMC medical genetics · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aims/hypothesisThree recent genome-wide association studies (GWAS) identified several single-nucleotide polymorphisms (SNPs) with modest effects on diabetic retinopathy in Mexican-American and white patients with diabetes. This study aimed to evaluate the effects of these variants on diabetic retinopathy in Chinese patients with type 2 diabetes.
methodsA total of 1,972 patients with type 2 diabetes were recruited to this study, including 819 patients with diabetic retinopathy and 1,153 patients with diabetes of ≥5 years duration but without retinopathy. Forty SNPs associated with diabetic retinopathy in three GWAS were genotyped. Fundus photography was performed to diagnose and classify diabetic retinopathy.
resultsrs17684886 in ZNRF1 and rs599019 near COLEC12 were associated with diabetic retinopathy (OR 0.812, p = 0.0039 and OR 0.835, p = 0.0116, respectively) and with the severity of diabetic retinopathy (p = 0.0365 and p = 0.0252, respectively, for trend analysis). Sub-analysis in patients with diabetic retinopathy revealed that rs6427247 near SCYL1BP1 (also known as GORAB) and rs899036 near API5 were associated with severe diabetic retinopathy (OR 1.368, p = 0.0333 and OR 0.340, p = 0.0005, respectively). The associations between rs6427247 and rs899036 and severe diabetic retinopathy became more evident after a meta-analysis of published GWAS data (OR 1.577, p = 2.01 × 10(-4) for rs6427247; OR 0.330, p = 5.84 × 10(-7) for rs899036). CONCLUSIONS/
interpretationWe determined that rs17684886 and rs599019 are associated with diabetic retinopathy and that rs6427247 and rs899036 are associated with severe diabetic retinopathy in Chinese patients with type 2 diabetes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.