Wei Cheng

This paper develops rare-variant polygenic risk scores (rvPRSs) using whole-genome sequencing data from the UK Biobank, showing they improve disease risk stratification and biological interpretability beyond common-variant PRSs.

The paper identifies three depression subtypes using plasma proteomics, linked to inflammation, aging, and metabolic factors, with distinct clinical and neurobiological features.

The paper assesses the replicability of plasma proteomics associations with phenotypes using UK Biobank data, finding high replicability for cognitive and mental health traits and developing a framework to predict replicability in future panels.

The paper identifies sleep-brain dimensions and biotypes in adolescents using device-based sleep data and imaging, linking them to cognitive and academic outcomes.

This paper introduces DeCoP, a novel decoding method that separates reward processing into evaluation and salience components, showing improved performance over traditional methods.

This study identifies a causal link between BMI and reduced grey matter volume, finds accelerated brain aging in obesity, and links it to gene expression changes in autophagy pathways.

This paper develops a statistical framework for connexel-wise analysis in brain-wide association studies, improving power and reducing false positives using spatial information from fMRI data.

The paper introduces a toolbox to generate functional and genetic annotations for neuroimaging data, demonstrating its utility in interpreting brain regions and psychiatric disorders.