ArticleScientific reports2017
Functional annotation of sixty-five type-2 diabetes risk SNPs and its application in risk prediction.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- AI-powered precision medicine: utilizing genetic risk factor optimization to revolutionize healthcare.NAR genomics and bioinformatics · 2025Review
- Variants in the neuropeptide geneAmerican journal of cancer research · 2025Article
- Precision Medicine in Diabetes.Handbook of experimental pharmacology · 2023Article
- The impact of phenotype, ethnicity and genotype on progression of type 2 diabetes mellitus.Endocrinology, diabetes & metabolism · 2020Review
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Genome-wide association studies (GWAS) have identified more than sixty single nucleotide polymorphisms (SNPs) associated with increased risk for type 2 diabetes (T2D). However, the identification of causal risk SNPs for T2D pathogenesis was complicated by the factor that each risk SNP is a surrogate for the hundreds of SNPs, most of which reside in non-coding regions. Here we provide a comprehensive annotation of 65 known T2D related SNPs and inspect putative functional SNPs probably causing protein dysfunction, response element disruptions of known transcription factors related to T2D genes and regulatory response element disruption of four histone marks in pancreas and pancreas islet. In new identified risk SNPs, some of them were reported as T2D related SNPs in recent studies. Further, we found that accumulation of modest effects of single sites markedly enhanced the risk prediction based on 1989 T2D samples and 3000 healthy controls. The A
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