We provide several datasets to the community. Please also check our FAQ page for more information.
The analysis scripts and the summary-level datasets (the meta-analyzed GWAS summary statistics, the results from fine-mapping analysis, the snpnet polygenic risk score models, and the multi-PRS models) used in Genetics of 35 blood and urine biomarkers in the UK Biobank (Sinnott-Armstrong, Tanigawa, et al., bioRxiv 2019; doi:10.1101/660506) are available from GitHub and figshare, respectively.
The analysis scripts and the summary-level datasets (GWAS summary statistics of glaucoma and intraocular pressure) used in Rare protein-altering variants in ANGPTL7 lower intraocular pressure and protect against glaucoma (Tanigawa, et al., PLoS Genetics 2020; doi:10.1371/journal.pgen.1008682) are available from GitHub and figshare, respectively. Please also see highlights of the study for more information.
Below are downloads corresponding to "Polygenic risk modeing with latent trait-related genetic components" (Aguirre, et. al.; bioRxiv forthcoming). Methods and downloads descriptions for these supplementary files can be found in the manuscript.
The analysis scripts and the summary-level datasets used in Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology (Tanigawa, et al., Nature Communications 2019; doi:10.1038/s41467-019-11953-9) are available from GitHub and figshare, respectively. Please see the DeGAs app page for more information.
Below are downloads corresponding to "Phenome-wide Burden of Copy Number Variation in UK Biobank" (Aguirre MA, Rivas MA, Priest JR; bioRxiv 545996). Description of methods used for analysis and available data can be found in the manuscript and in the readme below.