Jingyu Zeng

ZIPcnv improves CNV detection from shallow whole-genome sequencing by addressing zero-inflation and varying CNV sizes, outperforming existing tools.

This study identifies four genome-wide significant SNPs associated with GDM in Chinese women and develops an early prediction model using clinical and genetic indicators.

This study performs a large-scale genetic analysis of 104 pregnancy phenotypes in 39,194 Chinese women, identifying 407 trait-locus associations and uncovering novel genetic insights into pregnancy-related traits.

This study conducts the first GWAS on cell-free DNA (cfDNA) features in pregnant women, identifying 84 genetic loci and revealing causal relationships between hematological indicators and cfDNA biology.

The paper constructs a high-resolution haplotype-resolved reference panel from the China Kadoorie Biobank study and demonstrates its superior performance in imputing microarray data compared to existing panels.

This study identifies cholesterol levels and WBC counts as causal factors for COVID-19 severity through GWAS and MR analysis, and highlights type I interferon pathways in disease mechanisms.