Ran Tao

HAUDI improves polygenic score construction for admixed populations by efficiently extending the GAUDI method to multi-way admixture with faster computation and better performance.

This study identifies ADARB1 overexpression in T21 fetal brain due to trisomy 21, leading to increased A-to-I RNA editing and altered GRIA gene recoding.

The paper identifies causal protein drivers and drug targets for heterogeneous kidney diseases using proteome-wide Mendelian randomization and EHR data.

This study identifies 60 new susceptibility loci and 441 candidate risk genes for inflammatory bowel disease through multi-ancestry GWAS and TWAS, with implications for precision medicine.

This study shows that optimizing study design, such as increasing age variability and adding longitudinal measurements, improves replicability and effect sizes in brain-wide association studies.

This study identifies ancestry-specific and sex-specific genetic loci for primary open-angle glaucoma through a meta-analysis of 15 biobanks, highlighting shared biology with vascular mechanisms and cell proliferation.

The paper identifies 58 risk genes associated with common cancers by linking genetically predicted APA levels to cancer risk using GWAS data.

This paper introduces HAMSTA, a method to estimate heritability from admixture mapping summary statistics while adjusting for ancestral stratification bias, and applies it to African American datasets.

This study identifies Enc1's association with cognitive function in the hippocampus using systems genetics approaches in BXD mice.

This study identifies gene expression changes linked to exfoliation syndrome using TWAS and finds enrichment for inflammatory genes, suggesting inflammation's role in the disease.

This study evaluates polygenic risk score methods across diverse biobanks and ancestries, finding that European reference panels often yield better performance, while PRS-CS outperforms P+T for high-heritability traits.

The paper develops Bayesian models to estimate variant penetrance in Mendelian cardiac channelopathies, revealing continuous penetrance distributions and structural insights.

This paper shows that meta-analysis fine-mapping is often miscalibrated due to cohort heterogeneity and introduces a QC method to identify suspicious loci.

GAUDI improves polygenic risk prediction in admixed populations by modeling ancestry-specific and shared effects, outperforming existing methods in simulations and real data.

Meta-analysis of harmonized GWAS from up to 18 biobanks (six ancestry groups) across 14 endpoints replicated 320 known loci and identified 188 apparently novel loci.

This paper translates the PRS-CS polygenic risk score method to Julia, achieving 5.5x faster computation with maintained accuracy across nine traits.

The paper identifies differentially expressed genes in PTSD and MDD across brain regions, highlighting shared and unique transcriptional patterns and immune-related pathways.

This paper introduces MSG, a method that integrates splicing data and GWAS summary statistics to identify trait-associated genes, showing improved power over existing methods.

This study uses EHR data to identify gene-phenotype associations and develop phenotype risk scores for variant interpretation in hereditary cancer genes.

The paper shows that incorporating cell size parameters improves deconvolution of brain RNA-seq data, but using external cell size estimates can introduce bias.

The paper compares gene expression in the prefrontal cortex between individuals who died from acute opioid intoxication and controls, finding NPAS4 is downregulated and associated with opioid use.

This study examines DNA methylation in brain tissue from opioid users and controls, finding a significant association between opioid use and phenotypic age but no genome-wide significant CpG sites.

The paper identifies widespread genetic influences on DNA methylation in the human brain and links schizophrenia GWAS variants to epigenetic changes.

This study identifies DNA methylation differences in the nucleus accumbens of smokers versus nonsmokers, revealing both shared and tissue-specific CpGs associated with smoking.

The paper characterizes dynamic DNA methylation patterns in the prenatal human cortex, identifying loci associated with gene expression, enhancer states, and psychiatric disorder genes.

This study characterizes DNA methylation changes in human neurons across development, identifies distinct methylation patterns, and links them to heritable brain-related phenotypes.

The paper uses LCM-seq to profile gene expression in the human dentate gyrus granule cell layer, identifying cell type-specific genetic effects and novel schizophrenia-associated variants not detected in bulk RNA-seq.

The paper characterizes nuclear and cytoplasmic transcriptomes in human cortex development and finds increased nuclear retention in mature brain, linked to psychiatric disease gene regulation.

The paper identifies differentially methylated DNA sites and associated genes in Alzheimer’s disease across multiple brain regions, linking them to gene expression and biological processes.