Ching‐Yu Cheng

This paper develops and validates multi-ancestry polygenic risk scores for type 2 diabetes prediction and complications across diverse populations.

This study tests a brain age model on Singaporean children and elderly, finding that brain age gap change relates to future executive function in both groups.

The paper identifies DNA methylation biomarkers predictive of Type-2 diabetes in Asian populations and shows their utility in risk stratification.

This study identifies 67 genetic loci associated with head size, finding strong overlaps with cancer pathways and genes, suggesting shared genetic mechanisms between head growth and cancer risk.

RAPTOR provides a secure, cloud-native genomics repository with a five-safes framework to ensure compliance and data protection for genomic research.

This study identifies 35 genes associated with circulating lipid levels using rare coding variants from 170,000 exomes across multiple ancestries.

The paper identifies novel genetic associations for biomarker traits in non-European UK Biobank populations, highlighting missed signals in European-centric analyses.

This paper identifies 56 new type 2 diabetes loci in 433,540 East Asian individuals through a meta-analysis of GWAS data.

This study presents whole-genome sequencing data from 4,810 Singaporeans across three ethnic groups, revealing genetic structure, admixture, and improved imputation for Asian and Oceanian populations.

This study identifies rare genetic variants associated with type 2 diabetes using exome sequencing of 20,791 cases and 24,440 controls, and provides a Bayesian framework to improve variant prioritization.