Identifying genetic factors in recurrent pregnancy loss
Official title: Large Scale Genome Sequencing and Integrative Analyses to Define Genomic Predictors of Recurrent Pregnancy Loss
Run by Yale University · NCT05444283 · Data updated 2026-11-12
This study is trying to find out if certain genetic factors are linked to recurrent pregnancy loss by looking at DNA from families who have experienced this issue.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 50 Years |
| Sex | All |
| Enrollment | 500 (estimated) |
| Sponsor | Yale University Academic / other |
| Locations | 10 sites (Aurora, Colorado and 9 other locations) |
| Status | Recruiting |
| Started | September 1, 2021 |
| Main results expected | December 2026 |
| Study ends | December 2026 |
| Registry record updated | May 22, 2026 |
| Trial ID | NCT05444283 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are women who have experienced recurrent pregnancy loss and have a current singleton pregnancy that is euploid.
✕Probably not a fit
Patients with known causes of pregnancy loss, such as karyotype abnormalities or autoimmune diseases, may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to explore the genetic basis of recurrent pregnancy loss (RPL) by collecting and analyzing DNA samples from trios consisting of the product of conception, the biological mother, and the biological father. The study will recruit 1,000 rigorously characterized trios with unexplained RPL and perform whole genome sequencing at the Yale Center for Genome Analysis. The goal is to identify pathogenic genetic variants that could lead to novel gene discoveries and the development of clinical diagnostic tests for RPL.
Why it matters
Potential benefit: If successful, this study could provide insights into the genetic causes of recurrent pregnancy loss, leading to better diagnostic tools and treatment options for affected patients.
How similar studies have gone: Other studies have shown promise in identifying genetic factors related to pregnancy loss, but this specific approach is novel in its comprehensive genomic analysis of trios.
Who can join: the full rules
Show full inclusion / exclusion criteria
Cohort A - Fetal Intolerome Cohort Inclusion Criteria: * Women with loss of a current singleton pregnancy at \< 20 0/7 weeks gestation, documented by ultrasonography or histopathological examination * History of one or more prior pregnancy losses * Euploid current pregnancy confirmed by karyotype, microarray, or STORK (Short-read Transpore Rapid Karyotyping) sequencing Note: A limited number of aneuploid losses will be included as part of the pilot phase Exclusion Criteria: * History of parental karyotype abnormalities * History of antiphospholipid antibody syndrome * Evidence of uncontrolled diabetes * Evidence of uncontrolled thyroid disease * History of autoimmune disease related to pregnancy loss (e.g., systemic lupus erythematosus, rheumatoid arthritis) * History of uterine anomalies * History of cervical insufficiency Cohort B - Maternal Effect Gene Cohort Inclusion Criteria: \- Women with a history of three or more pregnancy losses of unknown cause, with or without a liveborn child Exclusion Criteria: \- Known etiology for pregnancy loss
Where it's running
-
University of Colorado
Aurora, Colorado, United States Recruiting -
Yale University
New Haven, Connecticut, United States Recruiting -
Northwestern University
Chicago, Illinois, United States Recruiting -
Johns Hopkins University
Baltimore, Maryland, United States Recruiting -
Wayne State University
Detroit, Michigan, United States Recruiting -
Columbia University
New York, New York, United States Recruiting
Show 4 more locations
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Pennsylvania State University
Hershey, Pennsylvania, United States Recruiting -
University of Texas at Austin
Austin, Texas, United States Recruiting -
University of Texas at San Antonio
San Antonio, Texas, United States Recruiting -
University of Chicago
Chicago, Illinois, United States Active not recruiting
Study contacts
- Study coordinator: Yong-Hui Jiang, MD, PhD
- Email: yong-hui.jiang@yale.edu
- Phone: 2037852429
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.