Chuan Hong

This study conducts a multi-ancestry GWAS of rheumatoid arthritis using the VA Million Veteran Program, identifying 152 genome-wide significant loci and improving fine-mapping resolution.

The paper examines differential associations of the IL6R variant across genetic ancestries and identifies trait differences that may inform targeted therapies.

sureLDA automates phenotype labeling in EHR data using topic modeling, achieving high accuracy and robustness across various phenotypes.

This study evaluates the efficacy of obesity polygenic risk scores in autistic versus non-autistic populations, finding that genetic variants associated with obesity in non-autistic populations are less representative in autistic individuals.

This paper develops an automated high-throughput phenotyping method (MAP) that improves phenotype accuracy and scalability for PheWAS studies.