Yi Wei Jiang

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.

This paper introduces MethylGenotyper, a method to genotype SNPs and estimate genetic relatedness from DNA methylation data, achieving high concordance rates and identifying related individuals in diverse populations.

SMAP is a pipeline that matches proteomic and genomic samples using protein-coding variants and discriminant scores, correcting 18.8% of mismatches in a large-scale proteomics dataset.

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.

This study identifies eQTL and sQTL in East Asian brains, finds convergence in transcriptional regulatory architecture with European populations, and links these to schizophrenia risk genes and pathways.

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

This paper introduces a statistical framework to identify risk genes from de novo mutations in whole-genome sequencing studies, finding new autism risk genes.