Jiaqi Hu

This study trains monkeys to report their own sensory cortical activity patterns, showing improved alignment between neural activity and choices beyond natural perceptual training limits.

The paper finds a higher polygenic score for PAD is linked to younger age at surgery, replicated in UK Biobank.

The paper develops cell-type-specific polygenic risk scores for CAD using scRNA-seq data and identifies lipid interactions specific to adipocytes and other cell types.

This paper improves genetic risk prediction across diseases by developing multi-trait polygenic scores that integrate GWAS data and show better performance than single-trait scores.

This study identifies genetic loci influencing immune cell proportions and their associations with autoimmune diseases using GWAS and cWAS.

This study identifies PAD-associated SNPs with stronger associations with surgical intervention than premature onset using UK Biobank data.

This paper identifies multi-omic pleiotropy factors for peripheral artery disease by analyzing genetic, transcriptomic, and proteomic data across PAD, T2D, and CAD.

This paper introduces MR-CARV, a two-sample Mendelian randomization framework integrating common and rare variants to assess the causal effect of HDL-C on preeclampsia risk, showing improved statistical power and precision.

This paper introduces EEPRS, a framework that improves polygenic risk prediction by integrating electronic health records through phenotype embeddings, showing significant performance gains over traditional methods.

The paper presents a framework to analyze multi-omic risk factors for coronary artery disease using TWAS and PWAS, identifying 10 genes with shared associations and colocalized eQTLs and pQTLs.