2026-10-14T20:18:49Z https://www.scidb.cn/oai

10.57760/sciencedb.013ua 2026-09-24T14:19:55Z

2026-09-24 Analysis code for: Proteome-wide Mendelian Randomization Identifies Therapeutic Targets for Ischemic Stroke doi:10.57760/sciencedb.013ua en This dataset contains the complete Python analysis code for the manuscript "Proteome-wide Mendelian Randomization Identifies Therapeutic Targets for Ischemic Stroke"       (Translational Stroke Research, under revision). The pipeline screens 589 conditionally independent cis-pQTL sentinel variants from the INTERVAL study against four GIGASTROKE    ischemic stroke outcomes (AIS, LAA, CES, SVD) using Wald-ratio Mendelian randomization, followed by approximate-Bayes-factor colocalization (coloc.abf formulation re-implemented  in Python), replication in the deCODE pQTL cohort via the IEU OpenGWAS API, single-cell expression validation in the MultiVINE-seq human brain vascular atlas, phenome-wide     safety screening, and Open Targets drug repurposing. All analyses use publicly available summary statistics. The README documents data sources, execution order, and errata fixed  during peer review. Mendelian randomization; pQTL; ischemic stroke; small vessel disease; colocalization; proteomics; drug target; GWAS; INTERVAL; GIGASTROKE Kangjia Song Shuang Qi PUBLIC https://api.github.com/licenses/mit dataset Science Data Bank