ESTABLISHMENT AND ASSESSMENT OF A NON-INVASIVE PRENATAL TESTING PROTOCOL FOR MULTIPLE DOMINANT MONOGENIC DISORDERS

Nguyễn Vạn Thông1, Tăng Hùng Sang2, , Giang Hoa2, Phan Minh Duy2, Nguyễn Hoài Nghĩa3, Trương Đình Kiệt2, Đỗ Thị Thanh Thủy2, Lê Hồng Thịnh4, Trịnh Nhựt Thư Hương5, Đoàn Phước Lộc2, Trần Nhật Thăng6, Hà Thị Minh Thi7, Đào Thị Trang8, Đoàn Thị Kim Phượng8, Lương Thị Lan Anh8, Dương Hồng Chương9, Nguyễn Cảnh Chương9, Trần Vũ Uyên2
1 Hùng Vương Hospital in HCM City
2 Medical Genetics Institute, Ho Chi Minh City
3 University of Medicine and Pharmacy at Ho Chi Minh city
4 Can Tho Obstetrics and Pediatrics Hospital
5 Tu Du Hospital
6 University Medical Center Ho Chi Minh City
7 Hue University of Medicine and Pharmacy
8 Hanoi Medical University
9 Hanoi Obstetrics and Pediatrics Hospital

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Abstract

Background: Non-Invasive Prenatal Testing (NIPT) for common fetal chromosomal abnormalities is increasingly being used worldwide. Many recent studies have shown that NIPT using next-generation sequencing (NGS) is able to detect a wide spectrum of dominant Mendelian diseases. The continuous improvement of the NGS method in prenatal screening will significantly reduce the burden of congenital birth defects and improve the quality of the Vietnamese population. In this study, we develop a non-invasive prenatal procedure by NGS method to screen for common and serious dominant monogenic diseases, providing a more comprehensive screening than traditional NIPT. Objective: Establish and validate a non-invasive prenatal testing protocol for early detection of some common dominant monogenic diseases  by determining the sensitivity and specificity of the test. Method: A total of 30 blood samples from singleton pregnant women over 9 weeks of gestation, together with paternal blood samples were collected. Cell-free DNA were extracted from plasma samples, barcoded, enriched and then analyzed for 30 targeted genes by the Nextseq 2000 next-generation sequencing system. (Illumina, USA). The variant calls from the cell free DNA were compared with variants detected on paternal and maternal genomic DNA (trios analysis) to calculate  the analytical sensitivity and specificity of the test. Results: We identified 29 true positive variants and 8 false positive variants in 30 samples.  In contrast, more than 3 million variants within the 30 targeted genes had been correctly determined as true negative (both parents were homozygous of reference alleles). One false negative variant was observed on paternal genomic DNA but not on the corresponding cfDNA sample. With these numbers, we therefore reported that the analytical sensitivity of our test is 96.7% and analytical specificity is >99%. Conclusion: We established a non-invasive prenatal testing protocol to screen for multiple single gene disorders with high accuracy. This is an important step towards expanding the scope of current noninvasive prenatal testing to detect a wide spectrum of dominant monogenic diseases.

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References

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