Eric H. Farber‐Eger

This study uses spatial transcriptomics to analyze gene expression in heart transplant recipients during rejection, identifying distinct transcriptomic profiles associated with different rejection types and outcomes.

This study examines how aging and immunosuppression affect immune cell composition and rejection risk in heart transplant recipients, finding lower rejection odds with age and specific transcriptomic changes.

The paper integrates proteomics and transcriptomics with genetic analyses to identify molecular mechanisms and targets of coronary artery disease.

The paper identifies ZNF469 as a transcription factor regulating collagen production in liver fibrosis through computational analysis and experimental validation.

This study identifies 80 genetic loci and 61 effector genes associated with dilated cardiomyopathy through GWAS and integrates transcriptomic data to uncover biological pathways and cellular states involved in the disease.

This study identifies novel genetic risk variants and potential drug targets for heart failure using GWAS and Mendelian randomization proteomics.

The paper identifies pathogenic variants in arrhythmia genes in eMERGE-III participants and reclassifies variants of uncertain significance using functional studies.

This study identifies genetic risk factors for major depressive disorder and loneliness as predictors of coronary artery disease risk, particularly in women.