New statistical tools to understand the genetics of complex diseases like Alzheimer's
Novel Bayesian statistical tools for integrating multi-omics data to help elucidate the genomic etiology of complex phenotypes
This study is looking at how different types of biological information, like genes and proteins, work together to help us understand Alzheimer's disease better, with the hope that this will lead to more effective treatments for patients.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Emory University NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project ID | NIH-10885085 on NIH RePORTER |
What this research studies
This research focuses on developing advanced statistical methods to analyze multi-omics data, which includes various biological information such as genetic, epigenetic, and protein data. By integrating these different types of data, the research aims to better understand how genetic variations contribute to complex conditions like Alzheimer's disease. The approach involves mapping molecular quantitative trait loci (QTL) and improving the accuracy of identifying risk genes associated with these diseases. Patients may benefit from insights gained through this research, which could lead to more targeted treatments and interventions.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with a family history of Alzheimer's disease or those experiencing early symptoms of cognitive decline.
Not a fit: Patients with non-genetic forms of dementia or cognitive impairment unrelated to Alzheimer's may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved understanding and treatment options for patients with complex diseases like Alzheimer's.
How similar studies have performed: Other research has shown promise in using multi-omics approaches to uncover genetic factors in complex diseases, indicating that this method has potential for success.
Where this research is happening
Atlanta, United States
- Emory University — Atlanta, United States (Active)
Researchers
- Principal investigator: Yang, Jingjing — Emory University
- Study coordinator: Yang, Jingjing
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 below.