Code for genetically predicted cardiometabolic traits and erectile dysfunction: integrative Mendelian randomization and corpus-cavernosum single-cell transcriptomics

Versioned R and Python analysis code supporting the manuscript "Genetically predicted cardiometabolic traits and erectile dysfunction: an integrative Mendelian randomization and corpus-cavernosum single-cell transcriptomic study". The archive includes workflows for multi-phenotype two-sample Mendelian randomization, FinnGen outcome-cohort comparison, UK Biobank sample-overlap auditing, multivariable Mendelian randomization with conditional F and MVMR-Q diagnostics, per-sample Scanpy reanalysis of GSE206528 with donor-level consistency analyses, exploratory protein and cis-eQTL Mendelian randomization, complete SNP-level supplement construction, and manuscript figure/table generation. Raw GWAS and GEO matrices are not redistributed. OpenGWAS access requires a user-supplied token. Candidate-gene evidence scores are descriptive and do not establish target causality or treatment efficacy.