Lianyun Huang

This study examines how genetic and lifestyle factors together influence the risk of developing type 2 diabetes in the UK Biobank population.

This study identifies synergistic sets of genetic risk variants in psychiatric disorders, suggesting subtypes and reinterpreting shared genetic effects.

The paper identifies neural ensembles in the extended amygdala of mice that encode diverse behaviours across contexts and links these ensembles to gene expression profiles associated with psychiatric and neurodegenerative disorders.

The paper shows that PHQ9 and CIDI-SF MDD symptoms have low to moderate genetic correlations, with distinct associations to dysphoria and symptom heterogeneity.

AutoComplete improves phenotype imputation in biobank data, enhancing GWAS power and genetic discovery.

The paper identifies a novel tripartite CRH circuit connecting extended amygdala and basal ganglia that drives arousal and avoidance behaviour through CRH receptor 1 in the substantia nigra.