Fan Yang

The paper introduces mintMR, a multi-context MR framework that improves causal effect estimation by using consistent eQTLs across tissues and multi-view learning for disease-relevant tissue probabilities.

This paper introduces a robust two-sample Mendelian Randomization method that uses GWAS and multi-tissue eQTL summary statistics to detect causal genes for schizophrenia with fewer and less independent instrumental variables.

The paper introduces CCmed methods to detect robust trans-eQTLs and assess their effects on human traits by analyzing brain tissue data from GTEx and validating findings with schizophrenia GWAS data.

The paper introduces iProFun, a multi-omics tool to identify DNA copy number and methylation effects on proteogenomic traits in ovarian cancer, finding 500 and 122 genes with cis-associations.

This paper introduces GMAC, a method to identify cis-mediators of trans-eQTLs across tissues using GTEx data, improving mediation analysis by adaptively adjusting for confounders.