Xuan Zhou

This study examines cross-ancestry genetic architecture of cholesterol traits, finding significant genetic heterogeneity and identifying concordant SNPs with higher predictive ability.

The paper identifies genetic-by-environment interactions affecting diabetes-related metabolic traits using UK Biobank data, showing lifestyle impacts vary by genetic background.

The paper introduces a linear mixed model integrating genomic and exposomic data to improve phenotypic prediction for complex traits, showing increased variance explanation and prediction accuracy.

The paper introduces CORE GREML, a method to estimate covariance between random effects in LMMs for genomic analyses, showing improved performance in variance partitioning.

This paper investigates the genetic links between female reproductive traits and six psychiatric disorders using polygenetic risk scores from UK Biobank data.

This study uses a whole-genome approach to identify genetic and non-genetic variance components in cardiovascular risk influenced by lifestyle factors, showing their modulating effects and implications for CVD prevention.

This paper introduces a multivariate reaction norm model to estimate genotype-covariate correlation and interaction in complex trait analyses, showing improved performance over existing methods.