Data: Sequence-based regulatory prediction with AlphaGenome complements TWAS for GWAS gene prioritization beyond eQTL-model coverage
收藏资源简介:
Processed data tables, merged AlphaGenome–TWAS gene-level scores, tissue-specificity intermediates, and supplementary tables (S1–S15) supporting the manuscript: Guo & Chen, "Sequence-based regulatory prediction with AlphaGenome complements TWAS for GWAS gene prioritization beyond eQTL-model coverage." Companion to the analysis code at https://github.com/Thewhey-Brian/alphagenome-twas. Raw upstream public data (GWAS sumstats from IEU OpenGWAS, GTEx individual-level data, FUSION TWAS weights, ChEMBL r33, Open Targets 23.12) are not redistributed here — see GitHub README for re-derivation. v2 additions: per-analysis intermediate tables for Figures 1–3 (persnp_vs_gtex, persnp_vs_joint, tissue_specificity); SuSiE 95% credible sets across the 43 traits; AlphaGenome per-SNP score tables (gene-level LFC outputs from the score_variant API, redistributed as derived data under CC-BY-4.0).



