Tie‐Lin Yang

This study identifies modular patterns of cellular aging across organs and diseases using single-cell transcriptomics and proteomics, revealing conserved and organ-specific aging programs.

The paper uses Mendelian randomization to find causal links between gut microbiome taxa and intelligence, identifying Oxalobacter as a risk factor and Fusicatenibacter as protective.

This study uses Mendelian randomization to examine causal links between brain imaging phenotypes and type 2 diabetes traits, finding bidirectional associations.

This study identifies G-quadruplexes on enhancers as regulators of chromatin structure and enhancer activity by promoting nucleosome depletion and TF recruitment.

This study uses Mendelian randomization to investigate causal associations between childhood BMI and 60 adult traits, finding adverse effects on health and disease risk, but also positive associations with certain lifestyle factors.

This study uses Mendelian randomization to identify causal relationships between brain imaging phenotypes and psychiatric disorders, finding 17 forward and 14 reverse causal associations.

LDBlockShow visualizes linkage disequilibrium and haplotype blocks from VCF files efficiently, outperforming existing tools in speed and memory usage.

This paper uses ancient and present-day genomic data to reconstruct the population history of East Asia, identifying key migrations and language dispersals.

The paper identifies a functional SNP associated with SLE and SSc that regulates IRF5 expression through long-range chromatin looping.

The paper introduces CIRCScan, a machine learning framework that predicts circRNA expression using sequence and epigenetic features, identifying H3K79me2 as a key regulator.