Xiaofeng Zhu

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.

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.

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

This study performs genome-wide association analysis on composite sleep health scores, identifying 28 novel loci and confirming 341 previously reported loci, with insights into genetic mechanisms and pathways.

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

This paper introduces encG-reg, an encrypted genotype regression method that identifies relatives across cohorts without sharing raw data, achieving accuracy comparable to traditional methods.

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

This study compares the transport kinetics and pathways of three contrast agents in mouse brains using DCE-MRI, showing size-dependent differences in glymphatic system function.

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.

The paper estimates heritability for height and BMI using whole-genome sequence data and finds that rare variants contribute significantly to the missing heritability.

This study identifies novel blood pressure variants through pleiotropy analysis and improves polygenic risk scores for hypertension and cardiovascular disease.

This study identifies 42 genetic loci associated with excessive daytime sleepiness and links them to phenotypic subgroups and related traits.

The paper identifies DNA methylation sites associated with daytime sleepiness in African Americans using epigenome-wide association analysis in the Multi-Ethnic Study of Atherosclerosis.

VarExp estimates phenotypic variance explained by genetic variants using GWAS summary statistics without individual-level data.

This study identifies new genetic loci associated with sleep disturbance traits and finds shared genetic links with neuropsychiatric and metabolic traits.