Zhenglin Guo

Loss of CACNA1G disrupts sleep rhythms and gene regulation, creating a mismatch between brain state and behavior linked to schizophrenia.

This study replicates group-level sleep EEG differences in schizophrenia and shows increased patient-to-patient variability in NREM metrics, with medication and age-related effects contributing to this heterogeneity.

This paper introduces SuSiEx, a cross-population fine-mapping method that improves resolution and power by integrating data across ancestries, leading to more accurate identification of causal variants in complex traits and diseases.

This study identifies biases in group-level EEG microstate analysis and proposes a paired analysis approach to reduce errors from subgroup topography differences.

This paper introduces PRS-CSx, a method that improves polygenic prediction across ancestrally diverse populations by integrating GWAS summary statistics and sharing genetic effects.

This study identifies NREM sleep and wake EEG biomarkers associated with schizophrenia symptom severity and disease status.