Noninvasive prenatal testing for trisomy 21: Challenges for implementation in Australia

Author(s):  
Lisa Hui ◽  
Jon Hyett
2019 ◽  
Author(s):  
Nicolas Chatron ◽  
Laure Raymond ◽  
Caroline Schluth‐Bolard ◽  
Claire Bardel ◽  
Cyril Huissoud ◽  
...  

2016 ◽  
Vol 18 (3) ◽  
pp. 378-387 ◽  
Author(s):  
Da Eun Lee ◽  
Ji Hyae Lim ◽  
Min Hyoung Kim ◽  
So Yeon Park ◽  
Hyun Mee Ryu

2015 ◽  
Vol 4 (1) ◽  
Author(s):  
Luming Sun ◽  
Lei Zhang ◽  
Jia Zhou ◽  
Xiaonan Yang ◽  
Tao Duan ◽  
...  

AbstractMaternal plasma DNA sequencing based noninvasive prenatal testing (NIPT) has been proven to be highly accurate in the detection of trisomy 21, 18, 13, X and Y, however, few reports have been made on its detection efficiency of rare complex aneuploidies. Here, we report a case of fetal trisomy 9 mosaicism identified by using NIPT, which may provide useful information for the further integration of NIPT into prenatal screening and diagnosis practice.


2018 ◽  
Vol 2018 ◽  
pp. 1-6
Author(s):  
Irene Gómez-Manjón ◽  
Ana Moreno-Izquierdo ◽  
Sonia Mayo ◽  
Marta Moreno-García ◽  
Aitor Delmiro ◽  
...  

Objective. The aim of this study was to determine if the use of different mappers for NIPT may vary the results considerably. Methods. Peripheral blood was collected from 217 pregnant women, 58 pathological (34 pregnancies with trisomy 21, 18 with trisomy 18, and 6 with trisomy 13) and 159 euploid. MPS was performed following a manufacturer’s modified protocol of semiconductor sequencing. Obtained reads were mapped with two different software programs: TMAP and HPG-Aligner, comparing the results. Results. Using TMAP, 57 pathological samples were correctly detected (sensitivity 98.28%, specificity 93.08%): 33 samples as trisomy 21 (sensitivity 97.06%, specificity 99.45%), 16 as trisomy 18 (sensibility 88.89%, specificity 93.97%), and 6 as trisomy 13 (sensibility 100%, specificity 100%). 11 false positives, 1 false negative, and 2 samples incorrectly identified were obtained. Using HPG-Aligner, all the 58 pathological samples were correctly identified (sensibility 100%, specificity 96.86%): 34 as trisomy 21 (sensibility 100%, specificity 98.91%), 18 as trisomy 18 (sensibility 100%, specificity 98.99%), and 6 as trisomy 13 (sensibility 100%, specificity 99.53%). 5 false positives were obtained. Conclusion. Different mappers use slightly different algorithms, so the use of one mapper or another with the same batch file can provide different results.


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