Analyzing genetic variations at the single cell level
Official title: Integrated analysis of multi-omic QTLs at single cell resolution
Funded at Translational Genomics Research Inst · NIH-10880575 · Data updated 2026-11-12
This study is looking at how differences in our genes can change how our cells work and contribute to diseases, so that patients can get better, more personalized treatments based on their unique genetic makeup.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Translational Genomics Research Inst NIH-funded |
| Lab location | 1 site (Phoenix, United States) |
| Project start | September 15, 2022 |
| Project end | June 30, 2026 |
| Funding year | 2024 |
| Award (this year) | $723,861 |
| NIH project number | 5R01HG011886-03 |
| Project ID | NIH-10880575 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with complex diseases that may have a genetic component, particularly those interested in understanding the genetic basis of their condition.
✕Less likely to help
Patients with conditions that are not influenced by genetic factors or those who do not have complex diseases may not benefit from this research.
What this research studies
This research focuses on understanding how genetic variations affect cell behavior and contribute to complex diseases by using advanced single cell genomics techniques. It aims to connect specific genetic traits with their regulatory effects on gene expression and other cellular functions. By mapping quantitative trait loci (QTLs) at a single cell resolution, the research seeks to provide insights that traditional bulk analysis methods cannot achieve. Patients may benefit from a deeper understanding of the genetic factors influencing their conditions, leading to more personalized treatment options.
Why it matters
Potential benefit: If successful, this research could lead to more targeted and effective treatments for complex diseases based on individual genetic profiles.
How similar studies have gone: Previous research has shown success in identifying genetic variations using bulk sample analyses, but this approach at the single cell level is relatively novel and untested.
Where this research is happening
-
Translational Genomics Research Inst
Phoenix, United States Active
Researchers
- Principal investigator: Banovich, Nicholas Eli — Translational Genomics Research Inst
- Study coordinator: Banovich, Nicholas Eli
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.