Peter Johansen1, Stine R Richter1, Marie Balslev-Harder1, Caroline B Miltoft2, Ann Tabor2, Morten Duno3, Susanne Kjaergaard1. 1. Chromosome Laboratory, Department of Clinical Genetics, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark. 2. Center of Fetal Medicine and Pregnancy, Department of Obstetrics, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark. 3. Molecular Genetics Laboratory, Department of Clinical Genetics, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Abstract
OBJECTIVE: The objective of this study was to introduce non-invasive prenatal testing (NIPT) for fetal autosomal trisomies and gender in a Danish public health setting, using semi-conductor sequencing and published open source scripts for analysis. METHODS: Plasma-derived DNA from a total of 375 pregnant women (divided into three datasets) was whole-genome sequenced on the Ion Proton™ platform and analyzed using a pipeline based on WISECONDOR for fetal autosomal aneuploidy detection and SeqFF for fetal DNA fraction estimation. We furthermore validated a fetal sex determination analysis. RESULTS: The pipeline correctly detected 27/27 trisomy 21, 4/4 trisomy 18, and 3/3 trisomy 13 fetuses. Neither false negatives nor false positives (chromosomes 13, 18, and 21) were observed in our validation dataset. Fetal sex was identified correctly in all but one triploid fetus (172/173). SeqFF showed a strong correlation (R(2) = 0.72) to Y-chromosomal content of the male fetus samples. DISCUSSION: We have implemented NIPT into Danish health care using published open source scripts for autosomal aneuploidy detection and fetal DNA fraction estimation showing excellent false negative and false positive rates. SeqFF provides a good estimation of fetal DNA fraction. This coupled with an analysis of fetal sex that provides a complete NIPT workflow, which may easily be adapted for implementation in other public health laboratories.
OBJECTIVE: The objective of this study was to introduce non-invasive prenatal testing (NIPT) for fetal autosomal trisomies and gender in a Danish public health setting, using semi-conductor sequencing and published open source scripts for analysis. METHODS: Plasma-derived DNA from a total of 375 pregnant women (divided into three datasets) was whole-genome sequenced on the Ion Proton™ platform and analyzed using a pipeline based on WISECONDOR for fetal autosomal aneuploidy detection and SeqFF for fetal DNA fraction estimation. We furthermore validated a fetal sex determination analysis. RESULTS: The pipeline correctly detected 27/27 trisomy 21, 4/4 trisomy 18, and 3/3 trisomy 13 fetuses. Neither false negatives nor false positives (chromosomes 13, 18, and 21) were observed in our validation dataset. Fetal sex was identified correctly in all but one triploid fetus (172/173). SeqFF showed a strong correlation (R(2) = 0.72) to Y-chromosomal content of the male fetus samples. DISCUSSION: We have implemented NIPT into Danish health care using published open source scripts for autosomal aneuploidy detection and fetal DNA fraction estimation showing excellent false negative and false positive rates. SeqFF provides a good estimation of fetal DNA fraction. This coupled with an analysis of fetal sex that provides a complete NIPT workflow, which may easily be adapted for implementation in other public health laboratories.
Authors: Irene Gómez-Manjón; Ana Moreno-Izquierdo; Sonia Mayo; Marta Moreno-García; Aitor Delmiro; David Escribano; F Javier Fernández-Martínez Journal: Biomed Res Int Date: 2018-06-07 Impact factor: 3.411
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