GWAS on short tandem repeats identifies novel genetic mechanisms in Alzheimer's disease

Summary statistics for a genome-wide association study (GWAS) to explore the role of short tandem repeats (STRs) on the risk for Alzheimer's disease (AD) in subsets of the UK Biobank cohort. This dataset accompanies the publication "GWAS on short tandem repeats identifies novel genetic mechanisms in Alzheimer’s disease", which is currently under review with a peer-reviewed journal. A link will to the publication will be provided upon acceptance. In the meantime, the article can be retrieved as medRxiv preprint: David Gmelin, Olena Ohlei, M. Muaaz Aslam, Marit P. Junge, Laura Parkkinen, Kristina Mullin, Dmitry Prokopenko, Christina Lill, Rudolph E. Tanzi, Valerija Dobricic, Lars Bertram (2025). GWAS on short tandem repeats identifies novel genetic mechanisms in Alzheimer’s disease. medRxiv, 2025-03-13. https://doi.org/10.1101/2025.03.13.25323833 This dataset contains two directories, 'data.zip' and 'code.zip'. The files deposited in the 'data' archive contain GWAS summary statistics for the following four types of analyses. Here, each file corresponds to the variant type (bi-allelic or multi-allelic) and STR source (imputed or WGS-derived), using GWAS tools PLINK2 or associaTR for the respective variant type.1. `gmelin_et_al.UKB_GWAS.imputed_str_biallelic.tsv`: GWAS results using bi-allelic variants based on imputed STRs (association analysis using PLINK2)2. `gmelin_et_al.UKB_GWAS.imputed_str_multiallelic.tsv`: GWAS results using bi-allelic variants based on WGS-derived STRs (association analysis using associaTR)3. `gmelin_et_al.UKB_GWAS.wgs_str_biallelic.tsv`: GWAS results using multi-allelic variants based on imputed STRs (association analysis using PLINK2)4.`gmelin_et_al.UKB_GWAS.wgs_str_multiallelic.tsv`: GWAS results using multi-allelic variants based on WGS-derived STRs (association analysis using associaTR) The 'code' directory contains the state of the code-repository available at https://github.com/dgmelin/ukb_ad_str_gwas at the time of publication.