Three-factor Genomic SEM GWAS summary statistics for shared genetic pathways underlying brain–gut comorbidity

This dataset contains genome-wide summary statistics generated from a three-factor Genomic Structural Equation Modelling (Genomic SEM) analysis of brain–gut comorbidity.

The three latent factors were derived to capture shared genetic components across brain-related and gut-related traits. For each latent factor, factor-specific GWAS summary statistics are provided with effective sample size information. These data support the associated manuscript entitled “Genomic structural equation modelling identifies shared genetic pathways underlying brain–gut comorbidity”.

Files included in this record:

1. PSYCH_factor_F1_with_N.txt   Genome-wide summary statistics for latent factor F1 derived from the three-factor Genomic SEM model, including effective sample size information.

2. PSYCH_factor_F2_with_N.txt   Genome-wide summary statistics for latent factor F2 derived from the three-factor Genomic SEM model, including effective sample size information.

3. PSYCH_factor_F3_with_N.txt   Genome-wide summary statistics for latent factor F3 derived from the three-factor Genomic SEM model, including effective sample size information.

4. ThreeFactor_GWAS_exclusion_summary.txt   Summary of variants excluded during quality control, harmonization, and post-processing of the factor-level GWAS summary statistics.

5. README_data_dictionary.txt   Data dictionary describing the file structure, column names, variable definitions, and notes for interpretation.

The deposited files contain aggregate-level GWAS summary statistics only. They do not contain individual-level genotype data, phenotype data, or personally identifiable participant information.