Tian Ge

This study identifies 928 genes associated with brain weight variation across three datasets and links them to neurodevelopmental processes and brain function.

The paper shows that atypical language lateralization is linked to global shifts in cortical functional organization, with genetic factors contributing to these differences.

This study identifies eight genes associated with adult cognitive function through rare coding variants and shows how KDM5B dosage affects cognitive traits in mice and humans.

The paper selects and validates ten polygenic risk scores for clinical use in diverse populations, focusing on chronic diseases and addressing disparities in predictive performance.

The paper uses brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia and identifies enriched networks and genes associated with the disease.

The paper models genetic relationships between cortical thickness and surface area using Genomic SEM, identifies gene categories associated with pleiotropy, and links these traits to psychiatric and cognitive outcomes.

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.

This study uses T-SEM to identify gene expression patterns linked to genetic overlap and disorder-specific risk in psychiatric disorders, finding potential drug repurposing targets.

The paper introduces the Taiwan Biobank, a large-scale biobank with genetic and phenotypic data from 150,000 individuals, highlighting its population structure and potential for genetic research.

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.

The paper identifies ten new genes with coding variants linked to Crohn's disease risk using sequencing data from over 30,000 patients and 80,000 controls.

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

This paper develops a trans-ancestry polygenic risk score for type 2 diabetes and validates it across diverse populations to improve equitable risk prediction.

This paper develops a genome-wide polygenic score for chronic kidney disease that incorporates APOL1 risk genotypes and shows consistent performance across four major continental ancestries.

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

A genome-wide association study of 69,369 schizophrenia cases and 236,642 controls identifies 270 risk loci, prioritizes 130 genes, and links common and rare risk variants to neuronal synaptic biology.

This study examines age-related changes in brain functional architecture using multi-scale fMRI analyses in younger and older adults, finding both global and network-specific dedifferentiation patterns.

This study quantifies how population diversity affects brain-imaging prediction accuracy and pattern stability using two clinical cohorts.

This paper identifies potential nootropic drug targets by integrating large-scale cognitive GWAS and transcriptomic data to find credible druggable genes.

The paper analyzes whole exome sequencing data from the UK Biobank to identify rare coding variants associated with major depressive disorder and reveals genetic overlaps with other psychiatric disorders.

The paper compares ten polygenic score methods for psychiatric disorders across multiple cohorts, finding that some methods significantly improve prediction statistics over the baseline PC+T method.

The paper develops individual-specific areal-level parcellations using a Bayesian model and shows they improve functional connectivity prediction of behavior compared to group-level parcellations.

This study investigates the heritability of individualized cortical network topography using twin and family data, finding genetic influences on network size and spatial organization.

The paper introduces methods to clean and analyze clinical lab data linked to EHRs, finding polygenic scores associated with lipid levels and coronary artery disease biomarkers.

This study uses Mendelian randomization to assess the causal effect of vitamin D on various traits and diseases, finding significant protective effects against multiple sclerosis but limited evidence for other outcomes.

The paper investigates the heritability of age of first occurrence for complex disorders using GWAS data from UK Biobank and FinnGen, finding genetic contributions and correlations with disease susceptibility.

This study identifies 308 genetic loci associated with mood disorder and schizophrenia across East Asian and European populations, revealing shared and distinct genetic mechanisms.

The paper identifies genetic loci associated with human cortical structure and finds genetic correlations with neuropsychiatric disorders.

The paper identifies and validates modifiable factors for depression prevention using UK Biobank data and Mendelian randomization.

This study evaluates polygenic risk scores for schizophrenia in electronic health records, finding strong associations with schizophrenia and pleiotropic effects on other psychiatric and medical conditions.