Developing statistical methods to understand human tissue development and disease
Official title: Statistical Methods for Characterizing Molecular Mechanisms of Human Tissue Development and Disease
Funded at New York Genome Center · NIH-10990778 · Data updated 2026-11-12
This study is looking at how our genes and tissues change as we grow, using special samples from both humans and primates, to help us better understand developmental diseases and improve treatments for patients.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York Genome Center NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | September 24, 2024 |
| Project end | August 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $1,799,133 |
| NIH project number | 1U01HG013843-01 |
| Project ID | NIH-10990778 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research include individuals with developmental disorders or those interested in the genetic basis of tissue development.
✕Less likely to help
Patients with conditions unrelated to tissue development or gene regulation may not receive direct benefits from this research.
What this research studies
This research focuses on creating advanced statistical methods to analyze complex data from human and non-human primate tissues. By utilizing unique biospecimens from the Developmental GTEx project, the team aims to uncover insights into how gene regulation and tissue structure change throughout different stages of life. The approach involves analyzing transcriptome variations and addressing challenges related to data complexity and sample size. Patients may benefit from improved understanding of developmental diseases and conditions through these innovative analytical techniques.
Why it matters
Potential benefit: If successful, this research could lead to better insights into developmental diseases, potentially improving diagnosis and treatment options for patients.
How similar studies have gone: Other research has shown success in using statistical methods to analyze complex biological data, indicating that this approach has potential for impactful findings.
Where this research is happening
-
New York Genome Center
New York, United States Active
Researchers
- Principal investigator: Lappalainen, Tuuli — New York Genome Center
- Study coordinator: Lappalainen, Tuuli
Related research
Other NIH-funded projects on the same topics.
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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.