Sihan Liu

Brain eQTLs of European, African American, and Asian ancestry improve interpretation of schizophrenia GWAS

This study identifies population-specific eQTLs in brain tissues from European, African American, and Asian ancestry individuals, revealing new schizophrenia risk genes and variants missed in European-only datasets.

seGMM: a new tool to infer sex from massively parallel sequencing data

seGMM infers sex from sequencing data with >99% accuracy, outperforming existing tools by incorporating Y chromosome features.

Agonal factors distort gene-expression patterns in human postmortem brains

This study identifies fever and infection as major agonal factors affecting gene expression in postmortem brains and recommends correcting for these factors using PEER or SVA.

Cell group analysis reveals changes in upper-layer neurons associated with schizophrenia

The paper uses cell-type deconvolution to analyze gene expression in schizophrenia and finds upper-layer neurons in the DLPFC are associated with SCZ risk.

DRAMS: A Tool to Detect and Re-Align Mixed-up Samples for Integrative Studies of Multi-omics Data

DRAMS detects and corrects sample mix-ups in multi-omics data by aligning genetic and omics data, improving statistical power and result quality.