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The Single Cell GWAS Explorer app offers researchers an efficient means to investigate genetic influences on cellular traits across diverse tissues and conditions. By leveraging single-cell genomic data and GWAS results, the app enables users to explore associations between genetic variants and cellular phenotypes. Users can select specific tissue categories, traits, and enhancer types to visualize relevant genetic signals through interactive heatmaps. For instance, a genetics researcher studying autoimmune diseases could use the app to explore how genetic variants influence immune cell behavior across different disease states and tissue environments. By uncovering such associations, researchers gain insights into the molecular mechanisms underlying complex diseases and identify potential therapeutic targets.
See owner's GitHub repository for more information: https://github.com/karthikj89/scgenetics.
Jagadeesh, K.A., Dey, K.K., Montoro, D.T. et al. Identifying disease-critical cell types and cellular processes by integrating single-cell RNA-sequencing and human genetics. Nat Genet 54, 1479–1492 (2022). https://doi.org/10.1038/s41588-022-01187-9
This application was not uploaded by the author, but through their publicly available Github repository, https://github.com/karthikj89/scgenetics.
Warning: Not intended for clinical use. Assume outputs are unsafe and unvalidated. Use carefully.
- Precision Medicine & Genomics