Vivek Rai

The paper performs population-scale single-nucleus multi-omic profiling of skeletal muscle to identify genetic regulation across cell types and traits.

The paper integrates snATAC-seq and snRNA-seq data from human and rat skeletal muscle to identify cell types, regulatory elements, and SNPs associated with complex traits.

The paper uses single-cell ATAC-seq and deep learning to analyze pancreatic islet cells, revealing cell-specific regulatory signatures linked to type 2 diabetes.

The paper identifies loss-of-function variants affecting liver-related blood traits that reduce CVD risk without increasing metabolic disease risk, highlighting potential therapeutic targets.