Juan Shu

The landscape of plasma proteomic links to human organ imaging

The paper maps phenotypic and genetic links between plasma proteins and organ imaging traits using UK Biobank data, identifying associations and causal links across multiple organs.

Inferring Multi-Organ Genetic Causal Connections using Imaging and Clinical Data through Mendelian Randomization

This study uses Mendelian randomization to identify genetic causal links between 58 diseases, 56 imaging traits, and multiple organs across 402 imaging traits and 372 clinical outcomes.

Contextualizing molecular and structural aging across human organs

The paper investigates organ-specific and modality-specific aging clocks using proteomic and imaging data, revealing distinct biological processes and their roles in age-related diseases.

PennPRS: a centralized cloud computing platform for efficient polygenic risk score training in precision medicine

PennPRS provides a cloud platform for training polygenic risk scores without individual-level data, validated with simulations and real data across 6,000 phenotypes.

Analyzing bivariate cross-trait genetic architecture in GWAS summary statistics with the BIGA cloud computing platform

The paper introduces BIGA, a cloud platform for analyzing cross-trait genetic architecture using GWAS summary statistics, enabling unified data analysis and resource sharing.

Multi-organ imaging-derived polygenic indexes for brain and body health

The paper uses genetic data to predict imaging-derived phenotypes from the UK Biobank, creating polygenic scores that identify disease risk in external cohorts.

Genetic influences on the shape of brain ventricular and subcortical structures

The paper identifies 60 genetic loci associated with brain ventricular and subcortical shape features using shape measures from over 45,000 UK Biobank and ABCD study subjects.

The role of sleep in the human brain and body: insights from multi-organ imaging genetics

This study identifies genetic overlaps between sleep traits and multi-organ imaging biomarkers, showing strong genetic links between sleep and psychiatric disorders.

Contrastive Cycle Adversarial Autoencoders for Single-cell Multi-omics Alignment and Integration

This paper introduces a framework to align and integrate single-cell RNA-seq and ATAC-seq data, achieving higher accuracy than existing methods on both simulated and real data.

Genetic influences on the intrinsic and extrinsic functional organizations of the cerebral cortex

This study identifies genetic loci associated with functional brain networks and areas using large-scale fMRI data, linking them to cognitive traits and brain disorders.