Xianmei Lan

The paper develops methods for analyzing low-depth NIPT sequencing data to accurately estimate allele frequencies and genetic effect sizes, enabling population genetic studies.

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 identifies 30 novel metabolite-gene associations in 34,394 Chinese pregnant women and finds pleiotropy and causal relationships between metabolites and diseases.

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.

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.