Systems Genomics to Understand Congenital Heart Disease in People
Official title: Project III - Systems Functional Genomics Mechanisms of Congenital Heart Diseases
Funded at University of Hawaii at Manoa · NIH-11268906 · Data updated 2026-11-12
A patient-focused project will use genetics and computer data analysis to uncover why congenital heart disease happens and how it leads to health problems from infancy to adulthood.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Hawaii at Manoa NIH-funded |
| Lab location | 1 site (Honolulu, United States) |
| Project start | June 4, 2026 |
| Project end | February 28, 2031 |
| Funding year | 2026 |
| Award (this year) | $234,750 |
| NIH project number | 1P20GM161995-01 |
| Project ID | NIH-11268906 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates include individuals with or at risk for congenital heart disease, along with family members who can contribute genetic or health data.
✕Less likely to help
Some patients without CHD may not directly benefit from this genetic/omics-focused research.
What this research studies
This grant aims to combine big data genetics, bioinformatics, and advanced data science to study congenital heart disease (CHD). Researchers will analyze large genotype-phenotype and multiomics datasets along with electronic health records to identify genetic and molecular factors that cause CHD and its complications. The work plans to translate findings into better ways to prevent CHD-related health issues and improve interventions for affected individuals. The approach emphasizes collaboration between genomics, data science, and clinical insight to fill gaps in our understanding of CHD. Participants may see future improvements in risk prediction and personalized care stemming from these insights.
Why it matters
Potential benefit: If successful, this project could lead to earlier detection, personalized treatment strategies, and better long-term outcomes for people with CHD.
How similar studies have gone: Previous studies show that integrating genotype-phenotype and multiomics data can reveal genetic drivers of CHD; this project builds on that approach in a broader, population-level context.
Where this research is happening
-
University of Hawaii at Manoa
Honolulu, United States Active
Researchers
- Principal investigator: Zhang, Yiqiang — University of Hawaii at Manoa
- Study coordinator: Zhang, Yiqiang
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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.