Yong Li

This study identifies mQTLs for serum and urine metabolites across ancestries, revealing ancestry-specific genetic effects and linking them to disease traits.

This study examines how hypomorphic IFT and dynein-2 mutations affect chondrogenic differentiation, ECM composition, and Wnt signaling in ATDC5 organoids, revealing genotype-dependent changes in signaling pathways and ECM.

The paper develops a transcriptome-based method to match bulk RNA-seq data from kidney cell lines to single-cell reference datasets, identifying accurate cell type identities and evaluating method performance.

The paper identifies medulla-specific gene expression patterns in adult human kidney tissues using multi-omic data and corrects misassignments in the GTEx database.

The paper identifies 16 genomic loci associated with IgG galactosylation through GWAS and validates three genes using CRISPR/dCas9 in an in vitro system.

The paper identifies gene-metabolite associations using exome sequencing and metabolomics, revealing graded effects of rare variants on traits and diseases.

The paper identifies key driver genes affecting adipocyte function and body fat distribution using systems genetics and experimental validation.

This study identifies 424 new loci associated with kidney function using GWAS data from over 1.2 million individuals and prioritizes 34 genes for further functional investigation.