GeneSet Information

Tier I GS267880 • GWAS Catalog Data for diabetic nephropathy in up to 1,564 African American cases, 369 African American diabetic controls, 1,288 African American non-diabetic controls, 538 American Indian ancestry cases, 319 American Indian ancestry diabetic controls, 342 European ancestry cases, 404 European ancestry diabetic controls, 779 Mexican ancestry cases, 594 Mexican ancestry diabetic controls

DESCRIPTION:

List of positional candidate genes after correcting for multiple testing and controlling the false discovery rate from genome wide association studies (GWAS) retrieved from the NHGRI-EBI Catalog of published genome-wide association studies (http://www.ebi.ac.uk/gwas/). The disease/trait examined in this study, as reported by the authors, was Diabetic kidney disease. The EFO term diabetic nephropathy was annotated to this set after curation by NHGRI-EBI. Intergenic SNPS were mapped to both the upstream and downstream gene. P-value uploaded. This gene set was generated using gwas2gs v. 0.1.8 and the GWAS Catalog v. 1.0.1.

LABEL:

GWAS: diabetic nephropathy

SCORE TYPE:

P-Value

DATE ADDED:

2017-05-02

DATE UPDATED:

2024-04-25

SPECIES:

AUTHORS:

SK Iyengar, JR Sedor, BI Freedman, WH Kao, M Kretzler, BJ Keller, HE Abboud, SG Adler, LG Best, DW Bowden, A Burlock, YD Chen, SA Cole, ME Comeau, JM Curtis, J Divers, C Drechsler, R Duggirala, RC Elston, X Guo, H Huang, MM Hoffmann, BV Howard, E Ipp, PL Kimmel, MJ Klag, WC Knowler, OF Kohn, TS Leak, DJ Leehey, M Li, A Malhotra, W März, V Nair, RG Nelson, SB Nicholas, SJ O'Brien, MV Pahl, RS Parekh, MG Pezzolesi, RS Rasooly, CN Rotimi, JI Rotter, JR Schelling, MF Seldin, VO Shah, AM Smiles, MW Smith, KD Taylor, F Thameem, DP Thornley-Brown, BJ Truitt, C Wanner, EJ Weil, CA Winkler, PG Zager, RP Igo, RL Hanson, CD Langefeld

TITLE:

Genome-Wide Association and Trans-ethnic Meta-Analysis for Advanced Diabetic Kidney Disease: Family Investigation of Nephropathy and Diabetes (FIND).

JOURNAL:

PLoS genetics Aug 2015, Vol 11, pp. e1005352

ABSTRACT:

Diabetic kidney disease (DKD) is the most common etiology of chronic kidney disease (CKD) in the industrialized world and accounts for much of the excess mortality in patients with diabetes mellitus. Approximately 45% of U.S. patients with incident end-stage kidney disease (ESKD) have DKD. Independent of glycemic control, DKD aggregates in families and has higher incidence rates in African, Mexican, and American Indian ancestral groups relative to European populations. The Family Investigation of Nephropathy and Diabetes (FIND) performed a genome-wide association study (GWAS) contrasting 6,197 unrelated individuals with advanced DKD with healthy and diabetic individuals lacking nephropathy of European American, African American, Mexican American, or American Indian ancestry. A large-scale replication and trans-ethnic meta-analysis included 7,539 additional European American, African American and American Indian DKD cases and non-nephropathy controls. Within ethnic group meta-analysis of discovery GWAS and replication set results identified genome-wide significant evidence for association between DKD and rs12523822 on chromosome 6q25.2 in American Indians (P = 5.74x10-9). The strongest signal of association in the trans-ethnic meta-analysis was with a SNP in strong linkage disequilibrium with rs12523822 (rs955333; P = 1.31x10-8), with directionally consistent results across ethnic groups. These 6q25.2 SNPs are located between the SCAF8 and CNKSR3 genes, a region with DKD relevant changes in gene expression and an eQTL with IPCEF1, a gene co-translated with CNKSR3. Several other SNPs demonstrated suggestive evidence of association with DKD, within and across populations. These data identify a novel DKD susceptibility locus with consistent directions of effect across diverse ancestral groups and provide insight into the genetic architecture of DKD. PUBMED: 26305897
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Annotation Information

No sequence read archive data associated with this GeneSet.


diabetic nephropathy (EFO:0000401)

Gene List • 55 Genes

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