Yiming Hu

The paper introduces a statistical framework for cross-tissue transcriptome-wide association analysis, improving gene-trait association detection and identifying novel genes related to late-onset Alzheimer's disease.

This paper introduces a method to estimate annotation-stratified genetic covariance between traits using GWAS summary statistics, identifying significant genetic covariances among 50 complex traits.

The paper introduces GenoSkyline-Plus, a framework for tissue-specific functional annotation of the human genome, showing its utility in identifying immune-related DNA elements linked to late-onset Alzheimer’s disease.

This paper introduces AnnoPred, a framework that uses functional annotations to improve genetic risk prediction for complex diseases, showing enhanced accuracy across multiple diseases.

This paper introduces GenoCanyon, a statistical framework that predicts functional non-coding regions in the human genome by integrating 22 annotations.

GenoWAP improves GWAS results by integrating functional annotations to prioritize risk loci and SNPs, showing stronger signals and better replication rates in Crohn's disease and schizophrenia.