Trans-ethnic meta-analysis of estimated glomerular filtration rate (eGFR): COGENT-Kidney Consortium

We have undertaken trans-ethnic meta-analysis of GWAS of eGFR in up to 312,468 individuals of diverse ancestry from three sources: (i) 19 studies of diverse ancestry from the COGENT-Kidney Consortium; (ii) a published meta-analysis of 33 studies of European ancestry from the CKDGen Consortium; and (iii) a published study of East Asian ancestry from the Biobank Japan Project.

Full details are available in:

Morris AP, et al. (2018). Trans-ethnic kidney function association study reveals putative causal genes and effects on kidney-specific disease aetiologies. Nat. Commun. (in press).

Summary statistics for two sets of analyses are provided here:

The trans-ethnic meta-analysis effect allele frequency, sample size and p-value were obtained across studies under a fixed-effects model via Stouffer’s method, with double genomic control correction. The trans-ethnic meta-analysis effect and standard error were obtained across studies from the COGENT-Kidney Consortium (in up to 81,829 individuals) under a fixed-effects model, with inverse variance weighting.

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For each association signal (defined by locus name and index SNV), the Bayes’ factor in favour of association was derived for each SNV. The posterior probability of driving the association signal was then obtained after incorporating an annotation informed prior based on enriched genomic annotations (coding variants, kidney-specific histone modifications, and binding sites for HDAC2 and EZH2.

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For further information, please contact Andrew Morris (apmorris@liverpool.ac.uk).