Cross-trait meta-analysis reveals a genetic link between inflammation and aging in giant cell arteritis: Summary statistics

This release contains the summary statistics of the study "Cross-trait meta-analysis reveals a genetic link between inflammation and aging in giant cell arteritis" (DOI), describing the results of the ASSET meta-analysis. Four summary statistics are included, comprising the cross-trait meta-analysis between giant cell arteritis (GCA), leukocyte telomere length (LTL) and each of the epigenetic clocks: Summary statistics of the meta-analysis between GCA, LTL and HannumAge acceleration: ASSET_RESULT_GCA-LTL-Han.txt Summary statistics of the meta-analysis between GCA, LTL and Intrinsic epigenetic age acceleration: ASSET_RESULT_GCA-LTL-IEA.txt Summary statistics of the meta-analysis between GCA, LTL and PhenoAge acceleration: ASSET_RESULT_GCA-LTL-Phe.txt Summary statistics of the meta-analysis between GCA LTL and GrimAge acceleration: ASSET_RESULT_GCA-LTL-Gri.txt Summary statistics contain the results for ASSET meta-analysis for best-subset association under a same-direction effect model (sided1) and for best-subset association under an opposite-direction effect model (sided2). All genomic positions are reported with reference to the GRCh38 genome build. Please refer to the original manuscript for more information about the original GWASs included, quality controls and filtering of the signals.