Jian Zeng

The paper identifies genetic variants associated with phenotypic variability and shows they exhibit genotype-by-environment interactions for obesity-related traits using UK Biobank data.

The paper examines how X-linked dosage compensation affects genetic variation in complex traits, finding more genetic variation in males than females for X-linked loci.

This study identifies 139 common and 4 rare genetic variants associated with type 2 diabetes through GWAS and integrates gene expression and epigenomic data to highlight potential functional genes and regulatory mechanisms.

The paper identifies gene targets for brain-related traits using transcriptomic and methylomic data from blood, finding strong correlations between genetic effects in brain and blood tissues.

The paper estimates the joint distribution of effect size and MAF for genetic variants in 28 complex traits and detects widespread negative selection signatures.

This paper develops and evaluates broad-based multi-trait Bayesian regression methods for genomic prediction, showing improved accuracy over single-trait and restricted multi-trait approaches.