Developing new statistical methods to analyze genetic data from diverse populations
Official title: Statistical Methods for Integrative Analysis of Large-Scale Multi-Ethnic Whole Genome Sequencing Studies and Biobanks of Common Diseases
Funded at Harvard School of Public Health · NIH-11078226 · Data updated 2026-11-12
This study is looking at how our genes can affect heart and lung diseases by using a lot of data from different ethnic backgrounds, so we can better understand these conditions for everyone, not just those of European descent.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Harvard School of Public Health NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | May 15, 2022 |
| Project end | April 30, 2026 |
| Funding year | 2025 |
| Award (this year) | $447,830 |
| NIH project number | 5R01HL163560-04 |
| Project ID | NIH-11078226 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals from various ethnic backgrounds who are affected by common diseases such as heart and lung conditions.
✕Less likely to help
Patients who do not have common diseases or those who are not from multi-ethnic backgrounds may not benefit from this research.
What this research studies
This research focuses on creating advanced statistical methods to analyze large-scale Whole Genome Sequencing (WGS) data and biobanks related to common diseases, particularly heart and lung diseases. It aims to address the limitations of existing studies that primarily involve individuals of European ancestry by incorporating data from multi-ethnic populations. By leveraging various omics data and enhancing the analysis of rare genetic variants, the research seeks to uncover genetic factors that contribute to complex diseases across diverse groups. This integrative approach will help improve our understanding of how genetic variations affect health outcomes in different populations.
Why it matters
Potential benefit: If successful, this research could lead to more accurate identification of genetic risk factors for diseases, ultimately improving prevention and treatment strategies for diverse populations.
How similar studies have gone: Previous research has shown success in using integrative analysis methods for genetic studies, but this approach specifically targeting multi-ethnic populations is relatively novel.
Where this research is happening
-
Harvard School of Public Health
Boston, United States Active
Researchers
- Principal investigator: Lin, Xihong — Harvard School of Public Health
- Study coordinator: Lin, Xihong
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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.