Zhiyu Yang

The paper jointly profiles neuronal morphology and gene expression during iPSC differentiation to better understand neuronal development and disease modeling.

This study identifies and characterizes 12 RNA modifications in plants from bryophytes to flowering plants using HILIC-MS/MS, revealing their evolutionary patterns and roles in auxin responses.

This study assesses the progress and limitations of polygenic risk score prediction accuracy for common diseases, showing diminishing returns from recent GWAS and highlighting the need for broader variant coverage.

The paper identifies non-linear genetic regulation of plasma proteins using a deep learning method, finding dominance and epistasis effects in large cohorts.

HAPNEST generates and evaluates large-scale synthetic genotype and phenotype datasets for polygenic risk score analysis.

This study identifies genetic drivers and cellular selection signatures of mosaic X chromosome loss in women using large-scale population data and polygenic scores.

This paper introduces a framework to reconstruct SNP allele and genotype frequencies from GWAS summary statistics and presents three applications, showing high performance in power and error control.

This study uses UK Biobank data to analyze genetic and phenotypic connections between depression and other traits, identifying causal relationships and pleiotropic variants.

This study identifies two novel genetic loci associated with Tourette Syndrome through a genome-wide meta-analysis and integrates functional data to implicate specific genes.

This study performs a cross-disorder GWAS meta-analysis of ADHD, ASD, OCD, and TS, identifying 297 genome-wide significant variants and 21 genes associated with shared genetic risk.