Xinxin Wang

The paper introduces LOCATER, a genealogy-based method that improves trait association power by leveraging haplotype diversity and allelic heterogeneity, identifying novel associations and recovering known loci in a Finnish cohort.

The paper introduces LOCATER, a method to test genealogical trees for association with traits, showing improved power over traditional methods in detecting allelic heterogeneity.

The paper develops a multi-omic single-nucleus sequencing method and framework to analyze regulatory genome diversity in human cortical cells and link it to disease risk variants.

The paper compares cellular diversity in the primary motor cortex across human, marmoset, and mouse using single-nucleus transcriptomics and epigenomics, finding conserved cell types and species-specific adaptations.

The paper identifies 491,818 candidate cis regulatory elements in adult mouse brain sub-types and links them to target genes and transcriptional regulators involved in various pathways.

The paper creates a comprehensive atlas of mouse primary motor cortex cell types using integrated transcriptomic and epigenomic data from over 600,000 samples.

This study identifies 31 genome-wide significant associations between structural variations and cardiometabolic traits in Finns, including two novel loci with strong phenotypic effects.

SnapATAC is a software package for analyzing scATAC-seq data, revealing regulatory elements and transcriptional regulators in mouse brain cells.