NIH R01 · 2025
Integrated analysis of multi-omic QTLs at single cell resolution
Project Summary Novel statistical and computational tools have enabled the broad adoption of genomics technologies and served as the foundation for the modern age of human genomics. Indeed, the recent advent and popularity of single cell genomics platforms – most notably single cell RNA sequencing (scRNA-seq) – has led to a proliferation of single- cell data processing, QC, and analysis frameworks. However, to fully realize the promise of single cell genomics approaches we need to connect cell-type level regulatory phenotypes with complex disease. The most promising approach to this challenge is to identify functionally relevant genetic variation by mapping quantitative trait loci (QTLs).…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.