Cloud-based tools to find genes linked to congenital heart defects in kids
Official title: Random field methods for integrative genomic analysis and high-dimensional risk prediction of congenital heart defects
Funded at Trustees of Indiana University · NIH-11628836 · Data updated 2026-11-12
Aimed at building and using cloud-based biostatistical tools to identify genes related to congenital heart defects in children using large pediatric datasets.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Trustees of Indiana University NIH-funded |
| Lab location | 1 site (Bloomington, United States) |
| Project start | July 1, 2026 |
| Project end | April 30, 2030 |
| Funding year | 2026 |
| Award (this year) | $100,000 |
| NIH project number | 3R01HL171194-01A1S1 |
| Project ID | NIH-11628836 on NIH RePORTER |
Who could benefit from this research
✓Could help
Children and young people with congenital heart defects, whose data may be included in aggregated pediatric genomic datasets.
✕Less likely to help
Children whose data are not included in these aggregated datasets or whose conditions are unrelated to CHDs.
What this research studies
This project adds cloud computing to existing methods for analyzing pediatric genetic data on congenital heart defects, helping researchers share and analyze information more efficiently. It will deploy random-field statistical tools on a cloud platform to combine data from multiple pediatric studies. The work focuses on strengthening data interoperability and improving power for detecting gene associations in children with CHDs. By leveraging cloud resources, researchers hope to accelerate insights that could guide future studies and potential therapies for CHDs.
Why it matters
Potential benefit: If successful, the tools could speed up discovery of genes linked to congenital heart defects in children and enable broader, faster collaboration.
How similar studies have gone: Previous pediatric genomic analyses have benefited from cloud-based data sharing and integrated analyses, and this approach extends those successes to CHD gene identification.
Where this research is happening
-
Trustees of Indiana University
Bloomington, United States Active
Researchers
- Principal investigator: Li, Ming — Trustees of Indiana University
- Study coordinator: Li, Ming
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.