H. Eka D. Suchiman

This study demonstrates the feasibility of establishing an ex vivo human growth plate model using tissue from percutaneous epiphysiodesis procedures to study bone growth and pediatric growth disorders.

The paper evaluates the therapeutic effects of hiMSCs in osteoarthritis models, showing reduced damage and activation of cholesterol pathways, with spatial transcriptomics revealing localized molecular changes.

This study identifies rare genetic variants in the IIS/mTOR pathway in long-lived humans and shows they have shared functional effects on lifespan-related traits in mice.

The paper identifies rare longevity-associated variants, including a cGAS mutation, in long-lived families and shows they reduce inflammation and delay cellular senescence.

The paper develops interpretable neural networks for multi-omics data to predict smoking status, age, and LDL levels, showing improved performance and generalizability across cohorts.

The paper identifies transcript SNPs with allelic expression imbalance in OA risk loci from articular cartilage and subchondral bone, revealing new potential OA risk genes.

The paper identifies differentially expressed genes in OA subchondral bone and cartilage using RNA sequencing, highlighting IL11 and CHADL as potential druggable targets.

The paper identifies 818 genes influencing DNA methylation in blood using genetic anchors and causal inference, revealing both transcription factors and non-DNA-binding proteins with regulatory roles.

The paper identifies differentially expressed lncRNAs in OA cartilage and validates their regulatory role on adjacent genes.

This study estimates heritability and genetic contributions to metabolite levels using genome-wide data and twin-family cohorts, revealing class-specific genetic influences.

The paper identifies 49 gene drivers of downstream transcriptional changes using population genomics data and RNA-sequencing from 3,072 individuals.

The paper identifies trans-meQTLs linking disease variants to methylation changes at transcription factor binding sites, revealing eight-fold more downstream effects than trans-eQTLs.