Xinyuan Zhang

This paper introduces polygenic risk vectors (PRV) to improve genetic risk stratification for cardio-metabolic diseases by combining additive and dominant genetic effects, outperforming traditional polygenic risk scores.

The paper identifies 73 gene-trait associations between ciliary genes and common laboratory traits in the UK BioBank, revealing distinct roles of ciliary subcompartments in common disease pathogenesis.

This study identifies robust gene-phenotype associations by analyzing rare loss-of-function variants in exome-wide data linked to electronic health records.

The paper introduces a collective feature selection approach to identify epistatic variants by combining multiple methods, showing improved performance in detecting true positive interactions in both simulated and real BMI data.