ArticleKidney international reports2018
An Exome-wide Association Study for Type 2 Diabetes-Attributed End-Stage Kidney Disease in African Americans.
Article in Kidney international 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.
- Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline.Kidney international · 2021Pooled it
- Integrative transcriptomic and genomic insights into diabetic kidney disease: evidence from multi-omics analysis and experimental validation.Renal failure · 2025Article
- Whole-exome sequencing study identifies four novel gene loci associated with diabetic kidney disease.Human molecular genetics · 2023Article
- Application of multiple machine learning approaches to determine key pyroptosis molecules in type 2 diabetes mellitus.Frontiers in endocrinology · 2023Article
- Article
- Targeted Next-Generation Sequencing Identifies Pathogenic Variants in Diabetic Kidney Disease.American journal of nephrology · 2021Article
- Integration of single-cell datasets reveals novel transcriptomic signatures of β-cells in human type 2 diabetes.NAR genomics and bioinformatics · 2020Article
- Gene loci associated with insulin secretion in islets from non-diabetic mice.The Journal of clinical investigation · 2019Article
- Single-cell transcriptomics unveils gene regulatory network plasticity.Genome biology · 2019Article
- Genetic Susceptibility to Chronic Kidney Disease - Some More Pieces for the Heritability Puzzle.Frontiers in genetics · 2019Review
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Authors and funding
10 authors.
Funding
Abstract
introductionCompared with European Americans, African Americans (AAs) are at higher risk for developing end-stage kidney disease (ESKD). Genome-wide association studies (GWAS) have identified >70 genetic variants associated with kidney function and chronic kidney disease (CKD) in patients with and without diabetes. However, these variants explain a small proportion of disease liability. This study examined the contribution of coding genetic variants for risk of type 2 diabetes (T2D)-attributed ESKD and advanced CKD in AAs.
methodsExome sequencing was performed in 456 AA T2D-ESKD cases, and 936 AA nondiabetic, non-nephropathy control individuals at the discovery stage. A mixed logistic regression model was used for association analysis. Nominal associations (
resultsA total of 11 suggestive T2D-ESKD associations (
conclusionOur findings suggest that coding genetic variants are implicated in predisposition to T2D-ESKD in AAs.
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