Junedh Amrute

  • Auckland, New Zealand

  • California Inst. of Tech. (2018)

  • Computational and Systems Biology

  • Kory J. Lavine, M.D., Ph.D.

  • Multi Omic Atlas of Human Coronary Artery Disease

  • jamrute@wustl.edu


One of the challenges to studying coronary artery disease (CAD) is the profound heterogeneity inherent in atherosclerosis (Cochain et al., 2018; Fernandez et al., 2019; Lin et al., 2019) and the pragmatic difficulty of studying CAD in its native environment – the human coronary artery. While previous human genetics and animal studies have provided insight into genetic variants and mechanisms involved in atherosclerosis (Cherepanova et al., 2016; Meir & Leitersdorf, 2004), the field continues to have an incomplete understanding of the precise cell types that drive disease pathogenesis. In addition, as many CAD variants span intergenic regions, it has remained difficult to connect CAD variants to the cell types and genes they modulate. Using single-cell omics we propose to: Define the cellular landscape of CAD and Utilize single-cell multi-omics and Hi-C to map CAD GWAS loci to individual cell types and target genes. multi comic with HiC to map CAD GWAS loci to individual cell types and target genes.

Last Updated: 9/14/2021 8:54:13 AM

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