GWAS summary statistics for a latent brain age gap factor

This file contains genome-wide association summary statistics derived from genomic structural equation modelling of six brain age gap (BAG) phenotypes in individuals of primarily European ancestry. Summary statistics for the six BAGs were obtained from Leonardsen et al. (2023), Wen et al. (2024), Tian et al. (2023), Smith et al. (2020), Kaufmann et al. (2019), Jawinski et al. (2025), and Baltramonaityte et al. (present study). A single latent factor representing the shared genetic signal across these six BAG measures was modelled, and the summary statistics provided here correspond to SNP associations with this latent BAG factor. Associated manuscript: "Shared genetic architecture of brain age gap across 30 cohorts worldwide" (under review) Column description: ⁃ SNP: rsID of the variant ⁃ CHR: Chromosome ⁃ BP: Base pair position (hg19/GRCh37) ⁃ MAF: Minor allele frequency in the study population ⁃ A1: Effect allele (brain age gap increasing) ⁃ A2: Non-effect allele ⁃ beta: Estimated SNP effect on the latent trait ⁃ se: Standard error of beta ⁃ Z: Z-statistic ⁃ P: P-value ⁃ Q, Q_df, Q_pval: Heterogeneity statistics ⁃ N: Sample size ⁃ eaf: Proxy frequency of the effect allele (A1) derived from one of the input GWASs and aligned to match the genomic SEM effect allele Notes: ⁃ Effective sample size: 160,656. Unique individuals: 62,568. ⁃ Quqaity control thresholds: e.g., minor allele frequency ≥ 0.01, imputation INFO ≥ 0.6 - Genome build: hg19 / GRCh37 File: brainagegap_factor_genomicSEM_sumstats.txt.gz