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Kidney stone disease GWAS meta-analysis- FinnGen & UK Biobank

dataset

posted on 2023-11-24, 11:54 authored by Catherine LovegroveCatherine Lovegrove, Jelena Bešević, Akira Wiberg, Ben Lacey, Thomas J. Littlejohns, Naomi Allen, Michelle Goldsworthy, Jihye Kim, Fadil Hannan, Gary C. Curhan, Benjamin W. Turney, Mark McCarthyMark McCarthy, Anubha Mahajan, Rajesh V. Thakker, Michael V Holmes, Dominic Furniss, Sarah Howles

A fixed-effects meta-analysis of kidney stone disease was undertaken using UK Biobank and FinnGen kidney stone GWAS summary statistics for autosomes and the X-chromosome. FinnGen r8 GWAS data are publicly available for the phenotype N14 calculus of kidney and ureter comprising 8597 cases and 333,128 controls. Information on sample phenotyping, genotyping, and GWAS in the FinnGen sample has been previously described. SNPs with MAF <0.01 were omitted from FinnGen summary statistics. The FinnGen study GWAS summary statistics do not report sex-specific datasets, precluding sex-stratified analyses. Meta-analysis was undertaken in METAL using inverse-weighting of log odds ratios. SNPs with a high level of heterogeneity between studies (I2 statistic >75%) were excluded. The resultant summary statistics were used to perform MR analyses.