Understanding genetic factors behind recurrent pregnancy loss
Large scale genome sequencing and integrative analyses to define genomic predictors of recurrent pregnancy loss
This study is looking at the genetic reasons behind recurrent pregnancy loss by examining the DNA of 1,000 families who have experienced this, especially focusing on groups that are often overlooked, to help find new insights and possible treatments for those affected.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project ID | NIH-10996073 on NIH RePORTER |
What this research studies
This research investigates the genetic causes of recurrent pregnancy loss (RPL) by analyzing the genomes of 1000 families affected by RPL. The study aims to identify specific genetic variants that may contribute to this condition, particularly focusing on underrepresented populations. Using advanced whole genome sequencing and data analysis techniques, researchers will explore both coding and noncoding regions of the genome to uncover potential pathogenic variants. The findings could lead to a better understanding of RPL and inform future treatment options.
Who could benefit from this research
Good fit: Ideal candidates for this research are women who have experienced recurrent pregnancy loss and are seeking answers regarding the genetic factors involved.
Not a fit: Patients who have not experienced recurrent pregnancy loss or those with well-defined causes of their pregnancy losses may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could provide insights into the genetic factors contributing to recurrent pregnancy loss, potentially leading to improved diagnosis and treatment options for affected individuals.
How similar studies have performed: Previous research has shown that genetic factors play a significant role in pregnancy loss, but this study aims to utilize a novel approach with a larger sample size and advanced genomic techniques.
Where this research is happening
New Haven, United States
- Yale University — New Haven, United States (Active)
Researchers
- Principal investigator: Jiang, Yong-Hui — Yale University
- Study coordinator: Jiang, Yong-Hui
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.