This is a revision to a project entitled ?Prenatal Genetic Diagnosis by Genomic Sequencing: A Prospective Evaluation.? The parent grant will collect clinical data, chorionic villous samples or amniocentesis data, and trio whole genome DNA sequence data on many pregnant women with a fetus affected by anomalies. This revision application proposes to take advantage of the resources already available and build upon these resources to test the utility and accuracy of a new form of cell-based noninvasive prenatal testing (NIPT), here called noninvasive Single Fetal Cell (SFC) testing. After many years of development work, the applicants published evidence for the feasibility SFC testing in 2016. Extensive recent preliminary data show considerable improvements in SFC testing. Current forms of cell-free NIPT testing do not provide reliable detection of medium to smaller size deletions and duplications that cause a variety of genetic disabilities. Preliminary data indicate that SFC testing using fetal trophoblasts from mother?s blood can detect aneuploidy and subchromosomal deletions and emphasize the importance of analyzing single cells, since some fetal cells are apoptotic and some are in S phase of the cell cycle replicating their DNA. Both apoptosis and S phase interfere with copy number analysis in differing ways, and pooling cells prior to barcoding individual cells results in loss of data quality. Preliminary data from two pilot validation studies demonstrate that reliable data can be collected on the large majority of patients, although data on this point would be greatly expanded by this project. Preliminary data show very robust detection of all aneuploidies and clear definition of genomic deletions as small as 1 Mb and duplications as small as 1.5 Mb.
The first aim i s to perform blinded SFC testing on 50 cases per year with congenital anomalies with abnormal karyotype or chromosomal microarray (CMA) and 50 cases per year with congenital anomalies and normal CMA. This will provide a direct measure of success rate and the false positive and false negative rates for SFC testing compared to CMA.
The second aim will be to use the WGA products and frozen unamplified cells available from aim 1 to further improve SFC testing to include targeted detection of inherited or de novo pathogenic point mutations in the cases undergoing WGS, confirmation of very small CNVs detected by WGS, restudy of false positive or false negative results from aim 1, and in the future could attempt to perform genome wide detection of de novo mutations. Capitalizing on the resources available through the parent grant, there is the opportunity to test whether SFC testing has the potential to transform genetic prenatal diagnosis so that all genetic changes, whether CNV or point mutation, and whether inherited or de novo, could be detected even in low risk pregnancies.

Public Health Relevance

Amniocentesis (amnio) and chorionic villus sampling (CVS) can reliably detect many smaller DNA/genetic abnormalities that cannot be reliably diagnosed by cell-free noninvasive prenatal testing (NIPT) that is in widespread use. We present evidence that a cell-based form of NIPT, here called Single Fetal Cell (SFC) testing, using a blood sample from the mother can detect most or all of the genetic abnormalities that are detected using amnio or CVS. This application proposes to compare the effectiveness of SFC testing in detecting abnormalities already detected by amnio or CVS in women already undergoing these tests as part of their clinical care because of fetal ultrasound abnormalities.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Research Project (R01)
Project #
3R01HD055651-12S1
Application #
9827211
Study Section
Therapeutic Approaches to Genetic Diseases Study Section (TAG)
Program Officer
Ilekis, John V
Project Start
2007-06-08
Project End
2023-08-31
Budget Start
2019-09-01
Budget End
2020-08-31
Support Year
12
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Columbia University (N.Y.)
Department
Obstetrics & Gynecology
Type
Schools of Medicine
DUNS #
621889815
City
New York
State
NY
Country
United States
Zip Code
10032
Levy, Brynn; Wapner, Ronald (2018) Prenatal diagnosis by chromosomal microarray analysis. Fertil Steril 109:201-212
Walser, Sarah A; Werner-Lin, Allison; Russell, Amita et al. (2016) ""Something Extra on Chromosome 5"": Parents' Understanding of Positive Prenatal Chromosomal Microarray Analysis (CMA) Results. J Genet Couns 25:1116-26
Walser, Sarah A; Kellom, Katherine S; Palmer, Steven C et al. (2015) Comparing genetic counselor's and patient's perceptions of needs in prenatal chromosomal microarray testing. Prenat Diagn 35:870-8
Donnelly, Jennifer C; Platt, Lawrence D; Rebarber, Andrei et al. (2014) Association of copy number variants with specific ultrasonographically detected fetal anomalies. Obstet Gynecol 124:83-90
Bernhardt, Barbara A; Soucier, Danielle; Hanson, Karen et al. (2013) Women's experiences receiving abnormal prenatal chromosomal microarray testing results. Genet Med 15:139-45
Wapner, Ronald J; Driscoll, Deborah A; Simpson, Joe Leigh (2012) Integration of microarray technology into prenatal diagnosis: counselling issues generated during the NICHD clinical trial. Prenat Diagn 32:396-400
Wapner, Ronald J; Martin, Christa Lese; Levy, Brynn et al. (2012) Chromosomal microarray versus karyotyping for prenatal diagnosis. N Engl J Med 367:2175-84
Savage, Melissa S; Mourad, Mirella J; Wapner, Ronald J (2011) Evolving applications of microarray analysis in prenatal diagnosis. Curr Opin Obstet Gynecol 23:103-8