SynthesisImmunogenetics2018
Locus and gene-based GWAS meta-analysis identifies new diabetic nephropathy genes.
Synthesis in Immunogenetics, 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.
- Genomic convergence of locus-based GWAS meta-analysis identifies AXIN1 as a novel Parkinson's gene.Immunogenetics · 2018Pooled it
- The rs3844492/ARHGAP22 and rs741301/ELMO1 polymorphisms are associated with changes in laboratory markers of renal damage among patients with type 2 diabetes mellitus.Archives of endocrinology and metabolism · 2025Article
- Identifying Key Biomarkers Related to Immune Response in the Progression of Diabetic Kidney Disease: Mendelian Randomization Combined With Comprehensive Transcriptomics and Single-Cell Sequencing Analysis.Journal of inflammation research · 2025Article
- Immunomodulatory roles of quercetin in diabetic nephropathy: targeting inflammation, oxidative stress, and ferroptosis.Frontiers in pharmacology · 2025Review
- Proteomic profiling of serum in cats with naturally occurring degenerative joint disease and co-morbid conditions.Frontiers in pain research (Lausanne, Switzerland) · 2025Article
- IFN-γ, SCF, MIP1b and IL-16 Were Associated with Risk of Diabetic Nephropathy: A Mendelian Randomization Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Intergenerational arsenic exposure on the mouse epigenome and metabolic physiology.Environmental and molecular mutagenesis · 2023Article
- Suramin prevents the development of diabetic kidney disease by inhibiting NLRP3 inflammasome activation in KK-Ay mice.Journal of diabetes investigation · 2023Article
- Alterations of the Gut Microbiota in Patients with Diabetic Nephropathy.Microbiology spectrum · 2022Article
- Class II PI3Ks at the Intersection between Signal Transduction and Membrane Trafficking.Biomolecules · 2019Review
Corrections and comments
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Authors and funding
1 author.
Funding
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Abstract
Objective Assimilation of SNPs Interacting in Synchrony (OASIS) is a locus-based clustering algorithm recently described that can potentially address false positives and negatives in genome-wide association studies (GWAS) of complex disorders. Diabetic nephropathy (DN) is incompletely understood due to a paucity of genes identified despite several GWAS. OASIS was applied to three DN dbGAP GWAS datasets (4725 subjects; 1.06 million SNPs). OASIS identified 19 DN genes which were verified using single variant replication in a standard association study and gene-based analysis using GATES. CARS and FRMD3 were confirmed as DN genes, and five known diabetes-associated genes, viz. NLRP3, INPPL1, PIK3C2G, NRXN3, and TBC1D4, not previously identified using these datasets were discovered. Furthermore, three additional novel DN genes were found which replicated in two sets of analysis, viz. NTN1, EBF2, and DNAH11. Hence, composite analysis with OASIS, gene-based, and single variant association testing can be universally applied to existing GWAS datasets for the identification of new genes.
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