Jun Liu

This study identifies C1R as a molecular link between coronary artery disease and dementia through proteogenomic analysis of circulating proteins and genetic causal-inference.

This study identifies 400+ genetic loci associated with circulating metabolic traits and highlights pleiotropy and novel disease pathways.

This study identifies 242 genetic loci for glycaemic traits using trans-ancestry meta-analysis, finding 99 novel loci and improved fine-mapping resolution compared to single-ancestry analyses.

This study identifies nine novel DNA methylation sites associated with fasting glucose and insulin levels by integrating cross-omics data from multiple cohorts.

The paper introduces methylSCOPA and META-methylSCOPA software for multi-phenotype epigenome-wide association studies, identifying significant methylation sites associated with fasting glucose and insulin levels.

This study examines how inbreeding affects type 2 diabetes-related metabolites in a Dutch genetic isolate, finding that inbreeding influences 32.9% of T2DM-related metabolites independently of BMI.

The paper identifies recessive genetic variants associated with type 2 diabetes-related metabolites in a consanguineous population.

The paper introduces IMCC, a method to quantify inter-module connectivity in biological networks using mouse microarray data, revealing core-periphery structures and functional coordination in stroke networks.

This study identifies 16 causal coding variants in type 2 diabetes using fine-mapping and shows that one third of signals are false leads.