Verification of Risk Assignment for Whole Chromosome Using SNP-based NIPT in Vanishing Twin Pregnancies (VANISH)
Verification of Risk Assignment for Whole Chromosome Using SNP-based NIPT in Vanishing Twin Pregnancies (VANISH)
Study Overview
Status
Status
Conditions
Conditions
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Sophia Vourthis
- Phone Number: 650.226.1723
- Email: vanish@natera.com
Study Locations
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California
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Los Angeles, California, United States, 90048
- Center for Fetal Medicine & Women's Ultrasound
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Palo Alto, California, United States, 94304
- Stanford
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Colorado
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Aurora, Colorado, United States, 80045
- University of Colorado
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Connecticut
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New Haven, Connecticut, United States, 06511
- Yale
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Delaware
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Newark, Delaware, United States, 19718
- Christiana Care
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Florida
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Panama City, Florida, United States, 32405
- Emerald Coast ObGyn
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Kansas
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Kansas City, Kansas, United States, 66160
- University of Kansas
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Michigan
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Ann Arbor, Michigan, United States, 48109
- University of Michigan
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Royal Oak, Michigan, United States, 48073
- Beaumont
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Minnesota
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Rochester, Minnesota, United States, 55905
- Mayo Clinic
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New Jersey
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Neptune City, New Jersey, United States, 07753
- Hackensack
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New Brunswick, New Jersey, United States, 08901
- St. Peter's University Hospital
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New York
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Mineola, New York, United States, 11501
- NYU Long Island
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New York, New York, United States, 10032
- Columbia University
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New York, New York, United States, 10065
- Weill Cornell Medicine
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New York, New York, United States, 10022
- NYU Langone
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New York, New York, United States, 10029
- Icahn School of Medicine at Mount Sinai Hospital
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The Bronx, New York, United States, 10461
- Montefiore Medical Center
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Pennsylvania
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Allentown, Pennsylvania, United States, 18103
- Lehigh Valley Health Network
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Philadelphia, Pennsylvania, United States, 19104
- University of Pennsylvania
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Texas
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Irving, Texas, United States, 75039
- Cedar Health Research
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Women with either ultrasound-documented dizygotic (DZ) twin pregnancy or those whose Panorama Test™ results suggest increased risk for vanishing twin
Exclusion Criteria:
- Monozygotic twin pregnancy
- Non twin pregnancy
- Maternal history of bone marrow or organ transplantation
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Develop a new algorithm and methodology that will measure fetal fraction and distinguish between the DT (demised/non-viable twin) and living twin (LT) in dizygotic twins (DZ) with a single LT.
Time Frame: 2 years
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A new algorithm will be written to analyze the serial research blood samples to return a fetal fraction of each twin, and identify which twin is the DT verses the LT.
The fetal fraction measurement will be a percentage, and it will be measurable, or not measurable for each sample.
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2 years
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The accuracy of the new algorithm to determine which of the signals in the Panorama samples correspond to the LT versus the DT.
Time Frame: 2 Years
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Each complete participant in the study will have multiple maternal blood samples collected, and a child buccal swab.
This outcome will use genetic analysis to reflect for each participant if the algorithm correctly or incorrectly identified the LT versus the DT.
Accuracy, defined as the number of VT pairs correctly identified as the LT and DT, divided by the total number of VT pairs, will be calculated.
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2 Years
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The accuracy of the updated algorithm for the assignment of risk for trisomy 21/18/13 for the LT in DZ twins with a single LT.
Time Frame: 3 Years
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If a sufficient number of trisomy 21/18/13 cases are observed among any of the cases, assess the accuracy of the updated algorithm to correctly determine whether the LT or DT is aneuploidy.
Point estimates and 95% confidence intervals for the specificity for the aneuploidy algorithm.
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3 Years
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Lorraine Dugoff, MD, University of Pennsylvania
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Neurologic Manifestations
- Nervous System Diseases
- Cardiovascular Diseases
- Heart Diseases
- Genetic Diseases, Inborn
- Neurobehavioral Manifestations
- Congenital Abnormalities
- Cardiovascular Abnormalities
- Heart Defects, Congenital
- Abnormalities, Multiple
- Intellectual Disability
- Chromosome Disorders
- Congenital, Hereditary, and Neonatal Diseases and Abnormalities
- Trisomy 13 Syndrome
- Trisomy 18 Syndrome
- Down Syndrome
Other Study ID Numbers
Other Study ID Numbers
- 21-050-NPT
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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