Sung Chun

This study identifies two genome-wide significant genetic associations with EGPA, one in SSH2 and one in RUNX1, and shows colocalization with molecular traits related to IL5RA and LYN.

The paper introduces scJLIM, a cluster-free method for single-cell colocalization testing, improving power to link GWAS loci with gene expression changes in specific cell types.

This paper uses pleiotropy to discover new genetic loci for OSA and provide biological hypotheses by combining colocalization tests with pleiotropy analysis.

The paper investigates the link between genetic associations and regulatory function, finding limited evidence that baseline gene expression explains GWAS associations.

The paper improves genetic mapping resolution in autoimmune diseases by identifying shared alleles across multiple conditions and reveals widespread shared mechanisms.

This paper introduces a non-parametric polygenic risk prediction method using GWAS summary statistics, improving prediction accuracy for several diseases.