Ting Qi

The paper introduces CIMA, a multi-omics atlas of human immune cells, identifying regulatory mechanisms and genetic associations across sex, age, and genetic factors.

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 paper introduces DENTIST, a method to reduce errors and heterogeneity in GWAS summary data, improving analyses like COJO and fine-mapping.

The paper uses blood eQTL meta-analysis to explore the polygenic architecture of complex traits, finding that trans-eQTLs are more informative for identifying causal genes than cis-eQTLs.

This study predicts promoter-anchored chromatin interactions using DNA methylation QTL data from a human cohort, finding overlaps with experimental data and associations with complex traits.

The paper identifies pQTLs for cardiovascular proteins and uses them to evaluate drug targets and suggest new candidates for precision medicine.

fastGWA is a resource-efficient mixed model tool for GWAS that addresses population stratification and relatedness in large biobank datasets.

OSCA provides a tool for omic-data-based complex trait analysis using the MOMENT method, showing improved robustness and lower false positive rates in simulations.

This study uses conditional GWAS analysis to identify disorder-specific SNPs for psychiatric disorders, finding some variants with reduced pleiotropy effects.

The paper identifies gene targets for brain-related traits using transcriptomic and methylomic data from blood, finding strong correlations between genetic effects in brain and blood tissues.