Yi Huang

The paper introduces CASTIE, a method for context-dependent eQTL mapping in single-cell data, identifying regulatory variants missed by static models and linking them to disease traits.

sc-pcQTL identifies multi-gene QTLs in single-cell RNA-seq data by combining hurdle modeling and principal-component analysis, revealing cell-type-specific regulatory effects.

The paper maps context-dependent genetic regulation of cardiometabolic loci in human adipocytes using a multi-donor cell village system and single-nucleus multiome sequencing under various metabolic stress conditions.

TEscape uses long-read sequencing to comprehensively annotate the human transposable element transcriptome, identifying over 83,000 previously unannotated isoforms.

This study identifies 12 enhancers in the 9p21.3 CAD risk locus that regulate MTAP, modulating vascular cell-state transitions and CAD risk through stress-responsive mechanisms.

This study identifies genetic subtypes of obesity that uncouple adiposity from cardiometabolic risks, revealing distinct biological pathways and protein associations.