Genome-wide meta-analysis and omics integration identifies novel genes associated with diabetic kidney disease.

doi:10.1007/s00125-022-05735-0

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Genome-wide meta-analysis and omics integration identifies novel genes associated with diabetic kidney disease.

Diabetologia - 1 Sept 2022

Sandholm Niina, Cole Joanne B, Nair Viji, Sheng Xin, Liu Hongbo, Ahlqvist Emma, van Zuydam Natalie, Dahlström Emma H, Fermin Damian, Smyth Laura J, Salem Rany M, Forsblom Carol, Valo Erkka, Harjutsalo Valma, Brennan Eoin P, McKay Gareth J, Andrews Darrell, Doyle Ross, Looker Helen C, Nelson Robert G, Palmer Colin, McKnight Amy Jayne, Godson Catherine, Maxwell Alexander P, Groop Leif, McCarthy Mark I, Kretzler Matthias, Susztak Katalin, Hirschhorn Joel N, Florez Jose C, Groop Per-Henrik

Abstract excerpt

AIMS/HYPOTHESIS: Diabetic kidney disease (DKD) is the leading cause of kidney failure and has a substantial genetic component. Our aim was to identify novel genetic factors and genes contributing to DKD by performing meta-analysis of previous genome-wide association studies (GWAS) on DKD and by integrating the results with renal transcriptomics datasets. METHODS: We performed GWAS meta-analyses using ten...

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PMID: 35763030
DOI: 10.1007/s00125-022-05735-0
PMCID: PMC9345823

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