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Analysis of the accuracy of Z-scores of non-invasive prenatal testing for fetal Trisomies 13, 18, and 21 that employs the ion proton semiconductor sequencing platform

Overview of attention for article published in Molecular Cytogenetics, August 2018
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Title
Analysis of the accuracy of Z-scores of non-invasive prenatal testing for fetal Trisomies 13, 18, and 21 that employs the ion proton semiconductor sequencing platform
Published in
Molecular Cytogenetics, August 2018
DOI 10.1186/s13039-018-0397-x
Pubmed ID
Authors

Yuan Tian, Linlin Zhang, Weifang Tian, Jinshuang Gao, Liting Jia, Shihong Cui

Abstract

Non-invasive prenatal testing (NIPT) is frequently being used to screen for trisomies 13, 18 and 21 for prenatal diagnosis. However, NIPT performs poorly when compared with invasive testing and thus should not be used to diagnose trisomies. The result of NIPT for an individual woman in most genome-wide methods is calculated as a Z-score. The aim of this study was to assess the correlation between Z-scores of NIPT results and the accuracy of non-invasive prenatal testing. We evaluated 108 pregnant women with positive NIPT results, which were validated through karyotype analysis of amniotic fluid puncture by means of sequencing, bioinformatics analysis, and follow-up. Utilizing the ion proton semiconductor sequencing platform, we report a performance evaluation of NIPT-positive results at Third Affiliated Hospital of Zhengzhou University of Henan Province, China, by classifying Z-scores as 3 ≤ Z<5, 5 ≤ Z < 9 and Z ≥ 9. The findings indicate that positive NIPT results at Z ≥ 9 have a higher accuracy compared with positive NIPT results at 5 ≤ Z < 9 and 3 ≤ Z<5. The findings show that Z-scores of NIPT results are closely related to the accuracy of non-invasive prenatal testing. However, false-positive NIPT results at 3 ≤ Z<5 may occur due to confined placental mosaicism (CPM).

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Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 19%
Researcher 3 14%
Student > Bachelor 2 10%
Other 2 10%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 9 43%
Readers by discipline Count As %
Medicine and Dentistry 4 19%
Biochemistry, Genetics and Molecular Biology 3 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Agricultural and Biological Sciences 1 5%
Chemistry 1 5%
Other 0 0%
Unknown 11 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 August 2018.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Molecular Cytogenetics
#315
of 423 outputs
Outputs of similar age
#300,224
of 342,957 outputs
Outputs of similar age from Molecular Cytogenetics
#5
of 7 outputs
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