Tian Lin

The paper investigates polygenic and familial factors influencing antidepressant treatment outcomes in two cohorts, finding associations between depression polygenic scores and treatment switching, with some links to schizophrenia and bipolar disorder.

This paper introduces a summary-statistics-based method to detect and quantify ascertainment bias in genetic studies using polygenic scores across multiple biobanks.

This paper improves causal variant identification by genome-wide fine-mapping, showing it outperforms existing methods and identifies new causal variants for complex traits.

This paper introduces SBayesAPP, a Bayesian model that estimates annotation-stratified pleiotropy and co-polygenicity between complex traits using GWAS summary statistics, revealing cell-type-specific genetic correlations.

This study identifies 118 new genetic loci associated with Alzheimer's disease across diverse ancestries and discovers 48 novel risk loci, including those enriched in neuronal cell types.

The paper identifies polygenic score differences between antidepressant responders and difficult-to-treat depression groups in the AGDS:Cell-o cohort, suggesting biological distinctions and potential for early stratification.

This paper benchmarks 20 methods for mapping trait-cell type associations by integrating GWAS and scRNA-seq data, finding CATCH to be the most robust approach.

This paper introduces SBayesRC, a method that improves polygenic prediction of complex traits by integrating GWAS summary statistics with functional genomic annotations, showing significant accuracy gains across ancestries.

This study investigates the function of the ALS risk variant GGNBP2 in Drosophila motor neurons, showing it regulates autophagy and synaptic development.

This study identifies rare genetic variants associated with extreme DNA methylation levels and shows their impact on gene expression in healthy ageing populations.

The paper identifies genetic variants influencing DNA methylation in blood and shows their associations with complex traits and diseases, but finds limited direct causality.

This study identifies 143 genetic loci associated with 25 hydroxyvitamin D concentration in Europeans, revealing biological pathways and causal relationships with health outcomes.

The paper improves age prediction from DNA methylation using larger datasets, showing reduced error and limitations in capturing biological ageing variation.