Yixuan He

This paper constructs phenome-derived polygenic scores and evaluates how they, along with social determinants of health, influence disease risk across different populations and diseases.

This paper improves genetic discovery and polygenic risk prediction for respiratory diseases by analyzing multiple traits and ancestries, identifying novel loci and developing a new polygenic risk score method.

This study conducts the first comprehensive genetic analysis of alcohol use disorder in a Nepalese population, identifying a novel genome-wide significant locus and highlighting the need for replication and improved polygenic prediction.

This study conducts a multi-ancestry GWAS on periodontitis using EHR data from the All of Us Research Platform, identifying significant genetic loci associated with periodontitis grade and other phenotypes.

This study compares microbiome and genome-wide association study predictive power for 13 diseases, finding microbiome indicators outperform genetic variants in disease discrimination.