################################################# # Koprulu & Smith-Byrne et al (2026), Cell # # Genome-wide summary statistics for # # 1,161 antibody-based protein targets # ################################################# #This is the data download directory for genome-wide summary statistics for 1,161 protein targets from Koprulu & Smith-Byrne et al (2026) "Multi-cohort proteogenomic analyses reveal genetic effects across the proteome and diseasome" publication in Cell. #These summary statistics provided here are the results of a fixed effects meta-analysis between results from 37 cohorts (referred to as SCALLOP MA) and UK Biobank for assays targetting the protein with the same UniProt ID. SCALLOP proteogenomic meta-analyses are based on one of the 13 Target-96 panels offered by Olink measuring 92 protein targets (Cardiometabolic, Cardiovascular II, Cardiovascular III, Cell Regulation, Development, Immuno-oncology, Inflammation, Immune Response, Metabolism, Neurology, Neuro Exploratory, Organ Damage, Oncology II) across 37 cohorts. UKBB proteomic GWASs are based on measurements from Olink Explore 1536 platform. #There are 1,161 unique pairs of OlinkIDs meta-analysed, based on the overlapping UniProt target from the different versions of the antibody-based proteomic platform. Relevant OlinkIDs from each version and cohort as well as the target Uniprot annotations of these assays can be found in "SCALLOP_UKBB_MA_UniProt_annotations.txt" file that has been provided. Abbrevations: OID_MA: OlinkID pair from the meta-analysis presented at Koprulu & Smith-Byrne et al (2026), Cell; OID_UKBB: OlinkID from Olink Explore 1536 platform measured in UKBB; OID_SCALLOP: OlinkID from one of the 13 Target-96 panels offered by Olink from meta-analysis across SCALLOP cohorts. #Detailed information on the datasets and methods can be found in the publication above. This publication needs to be cited for any project that utilizes the summary statistics in this directory. ##Please note that the total size of all genome-wide summary statistics is ~ 1 Tb in total. To ensure that data has been downloaded correctly, relevant md5sums in "md5sum" directory should be double checked. #The data download command template is provided below. The rate limit must be used at all data downloads. #If there are any issues, please get in touch with Claudia Langenberg at claudia.langenberg@bih-charite.de or claudia.langenberg@qmul.ac.uk #To download a single file wget --limit-rate=100m --reject="index.html*" --no-parent --tries=10 --continue --directory-prefix #To download directories wget --recursive --limit-rate=100m --directory-prefix= --reject="index.html*" --no-parent --tries=10 --continue