Using advanced computer analysis to untangle health problems in Down syndrome
Novel computational strategies to deconvolute co-occurring conditions in Down syndrome
This project uses new computer methods to separate how extra copies of chromosome 21 cause different health conditions in people with Down syndrome.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Colorado Denver NIH-funded |
| Lab location | 1 site (Aurora, UNITED STATES) |
| Project ID | NIH-11386138 on NIH RePORTER |
What this research studies
Researchers will combine large-scale genetic, protein, and other 'omics' data collected from people with Down syndrome to look for patterns linking chromosome 21 dosage to specific health conditions. They will develop computational tools to remove generic stress or hyperresponsive signals that can hide disease-specific changes. The work builds on data from cohorts like the Human Trisome and the INCLUDE Project to analyze genes, proteins, and pathways together. The goal is to pinpoint biological mechanisms that explain why some people with Down syndrome develop certain co-occurring conditions while others do not.
Who could benefit from this research
Good fit: Ideal candidates are individuals with Down syndrome (and their caregivers) who can contribute medical information and biological samples to research cohorts or registries.
Not a fit: People without Down syndrome, or individuals not represented in the datasets (for example certain age or demographic groups), are unlikely to receive direct benefit from this specific project.
Why it matters
Potential benefit: If successful, this could reveal targets for better monitoring, prevention, or treatments tailored to people with Down syndrome.
How similar studies have performed: Large cohort efforts have produced useful multi-omics data for Down syndrome, but these particular computational approaches are relatively new and aim to find signals past methods missed.
Where this research is happening
Aurora, UNITED STATES
- University of Colorado Denver — Aurora, United States (Active)
Researchers
- Principal investigator: Costello, James Christopher — University of Colorado Denver
- Study coordinator: Costello, James Christopher
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.