Yujia Shi

This study uses CombGWAS to analyze genetic correlations between psychiatric disorder combinations and cardiovascular disease, identifying shared and unique genetic factors.

This study conducts a genome-wide association study on Chinese and English language abilities in bilingual Hong Kong children, identifying 9 significant genetic loci and showing polygenic overlap with educational attainment and ADHD.

This paper uses machine learning to predict disease-specific drug targets by integrating drug-induced expression profiles and gene perturbation data, finding significant enrichment of known targets.