An atlas of genetic determinants of forearm fracture

1184 Genetiikka, kehitysbiologia, fysiologia

Open access funding provided by University of Gothenburg.

Summary statistics from the GWAS meta-analysis are available at the GWAS Catalog under study accession number GCST90281273 (https://www.ebi.ac.uk/gwas). For cohort-specific datasets, each individual cohort has to be contacted as each country and cohort has different data access policies. Individual-level EstBB data are available under restricted access administered by the Estonian Genome Center of the University of Tartu in accordance with the regulations of the Estonian Human Genes Research Act. Access can be obtained by application at https://genomics.ut.ee/en. Individual-level data from FinnGen participants can be accessed by approved researchers through the Fingenious portal (https://site.fingenious.fi/en/) hosted by the Finnish Biobank Cooperative FinBB (https://finbb.fi/en/). Access to UK Biobank data can be obtained by application to UK Biobank (https://www.ukbiobank.ac.uk/). Individual-level data from DBDS cohort can be accessed by contacting the steering committee (info@dbds.dk). Data access requires that projects and applicants obtain permission from the Regional Committees on Health Research Ethics and the Danish Data Protection Agency. Researchers can apply for HUNT data access from HUNT Research Centre (https://www.ntnu.edu/hunt) if they have obtained project approval from the Regional Committee for Medical and Health Research Ethics. Information on the application and conditions for data access is available at https://www.ntnu.edu/hunt/data. For cohort-specific data requests of the remaining cohorts used in the present forearm fracture study, contact U. Styrkarsdottir (unnur.styrkarsdottir@decode.is) for the deCODE cohort, U. Pettersson-Kymmer (ulrika.pettersson@umu.se) for the UFO cohort and S. Rye Ostrowski (sisse.rye.ostrowski@regionh.dk) for the CHB-OF cohort. All GWAS summary statistics used for risk factors in genetic correlations are available online: FN-BMD, LS-BMD, FA-BMD, eBMD and falls, http://www.gefos.org/; age at menopause and age at menarche, https://www.reprogen.org/data_download.html; relative age voice broke, http://www.nealelab.is/uk-biobank; grip strength, http://ldsc.broadinstitute.org/; vitamin D, levels https://cnsgenomics.com/content/data; coronary artery disease, http://www.cardiogramplusc4d.org/data-downloads/; rheumatoid arthritis, http://plaza.umin.ac.jp/~yokada/datasource/software.htm; inflammatory bowel disease, https://www.ebi.ac.uk/gwas/studies/GCST003043; type 2 diabetes, https://diagram-consortium.org/downloads.html; smoking initiation and alcohol consumption (drinks per week), https://conservancy.umn.edu/handle/11299/201564; height and BMI, https://portals.broadinstitute.org/collaboration/giant/index.php/GIANT_consortium_data_files. All look-ups were made in publicly available datasets and databases (GWAS Catalog, CADD, GTEx v.8 and Regulome DB via FUMA web application: https://fuma.ctglab.nl/; ChIP-Atlas: https://chip-atlas.org/peak_browser; previously published GWASs for FN-BMD, LS-BMD, eBMD and any fracture http://www.gefos.org/ and previously published GWAS for hip fracture https://www.ebi.ac.uk/gwas/publications/36260985).