Yihe Yang

Recalibrating Mendelian randomization under winner's curse, sample structure and polygenicity

This paper introduces a multivariable Rao-Blackwellization method to correct Mendelian randomization biases from winner's curse, polygenicity, and sample structure, improving type-I error control and inference robustness.

Shared Genetic Architecture Between Kidney Function and Alzheimer Disease Across Ancestries

This paper identifies shared genetic loci between kidney function and Alzheimer disease across ancestries, revealing both horizontal and vertical pleiotropy with APOE as the only shared locus.

Improving causal effect estimation in multi-ancestry multivariable Mendelian randomization with transfer learning

This paper introduces MRBEE-TL, a multi-ancestry MVMR method using transfer learning to improve causal effect estimation in underpowered ancestries and assess cross-ancestry heterogeneity.

Uncovering causal gene-tissue pairs and variants: A multivariable TWAS method controlling for infinitesimal effects

This paper introduces TGVIS, a multivariable TWAS method that improves causal gene and variant prioritization by accounting for infinitesimal effects in GWAS data.

HORNET: Tools to find genes with causal evidence and their regulatory networks using eQTLs

HORNET identifies causal genes and their regulatory networks using eQTLs and GWAS data, showing differential gene expression causality in schizophrenia across brain tissues.

simmr: An open-source tool to perform simulations in Mendelian Randomization

simmr is an open-source tool for simulating Mendelian Randomization scenarios to evaluate method performance across various practical situations.

MRBEE: A novel bias-corrected multivariable Mendelian Randomization method

MRBEE is a new multivariable Mendelian Randomization method that corrects measurement error bias and identifies horizontal pleiotropy, showing improved performance in simulations and real data analyses.