Literature DB >> 28171857

The IONA® Test: Development of an Automated Cell-Free DNA-Based Screening Test for Fetal Trisomies 13, 18, and 21 That Employs the Ion Proton Semiconductor Sequencing Platform.

Francesco Crea1, Matthew Forman, Rachel Hulme, Robert W Old, Dan Ryan, Rosalyn Mazey, Michael D Risley.   

Abstract

OBJECTIVE: To develop a screening test for fetal trisomy 13, 18, and 21 using cell-free DNA from maternal blood with an automated workflow using the Ion Proton sequencing platform.
METHODS: An automated next-generation sequencing workflow was developed using the Ion Proton sequencing platform and software developed for straightforward bioinformatic analysis. An algorithm was developed using 239 samples to determine the likelihood of trisomy, using DNA fragment counts and a fetal fraction validity check; the results were compared with those from invasive diagnostic procedures. A further 111 samples were used to assess the tests' sensitivity (detection rate) and specificity (1 minus false-positive rate).
RESULTS: The 110 of a possible 111 valid samples used to verify the IONA® test gave 100% sensitivity and specificity, compared with invasive diagnostic procedures; one failed the fetal fraction validity check giving a sample failure rate of 0.29% across all 350 analysed samples.
CONCLUSION: The data indicate that the IONA test provides a robust, accurate automated workflow suitable for use on maternal blood samples to screen for trisomies 13, 18, and 21. The test has the potential to reduce the number of unnecessary invasive procedures performed and facilitate testing by screening laboratories.
© 2017 The Author(s) Published by S. Karger AG, Basel.

Keywords:  Cell-free DNA; First-trimester screening; Next-generation sequencing; Noninvasive prenatal screening; Trisomy

Mesh:

Substances:

Year:  2017        PMID: 28171857      PMCID: PMC5804841          DOI: 10.1159/000455025

Source DB:  PubMed          Journal:  Fetal Diagn Ther        ISSN: 1015-3837            Impact factor:   2.587


  22 in total

1.  Trisomy 13 and trisomy 18 in a defined population: epidemiological, genetic and prenatal observations.

Authors:  M J Parker; J L S Budd; E S Draper; I D Young
Journal:  Prenat Diagn       Date:  2003-10       Impact factor: 3.050

2.  Performance comparison of benchtop high-throughput sequencing platforms.

Authors:  Nicholas J Loman; Raju V Misra; Timothy J Dallman; Chrystala Constantinidou; Saheer E Gharbia; John Wain; Mark J Pallen
Journal:  Nat Biotechnol       Date:  2012-05       Impact factor: 54.908

Review 3.  Screening for fetal aneuploidies at 11 to 13 weeks.

Authors:  Kypros H Nicolaides
Journal:  Prenat Diagn       Date:  2011-01       Impact factor: 3.050

4.  A non-invasive test for prenatal diagnosis based on fetal DNA present in maternal blood: a preliminary study.

Authors:  Ravinder Dhallan; Xin Guo; Sarah Emche; Marian Damewood; Philip Bayliss; Michael Cronin; Julie Barry; Jordan Betz; Kara Franz; Katie Gold; Brett Vallecillo; John Varney
Journal:  Lancet       Date:  2007-02-10       Impact factor: 79.321

5.  A unified approach to risk assessment for fetal aneuploidies.

Authors:  D Wright; A Wright; K H Nicolaides
Journal:  Ultrasound Obstet Gynecol       Date:  2014-12-01       Impact factor: 7.299

6.  First-trimester screening for trisomies 21, 18 and 13 by ultrasound and biochemical testing.

Authors:  D Wright; A Syngelaki; I Bradbury; R Akolekar; K H Nicolaides
Journal:  Fetal Diagn Ther       Date:  2013-12-18       Impact factor: 2.587

7.  Noninvasive prenatal diagnosis of common aneuploidies by semiconductor sequencing.

Authors:  Can Liao; Ai-hua Yin; Chun-fang Peng; Fang Fu; Jie-xia Yang; Ru Li; Yang-yi Chen; Dong-hong Luo; Yong-ling Zhang; Yan-mei Ou; Jian Li; Jing Wu; Ming-qin Mai; Rui Hou; Frances Wu; Hongrong Luo; Dong-zhi Li; Hai-liang Liu; Xiao-zhuang Zhang; Kang Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-05       Impact factor: 11.205

8.  DNA sequencing versus standard prenatal aneuploidy screening.

Authors:  Diana W Bianchi; R Lamar Parker; Jeffrey Wentworth; Rajeevi Madankumar; Craig Saffer; Anita F Das; Joseph A Craig; Darya I Chudova; Patricia L Devers; Keith W Jones; Kelly Oliver; Richard P Rava; Amy J Sehnert
Journal:  N Engl J Med       Date:  2014-02-27       Impact factor: 91.245

9.  A tale of three next generation sequencing platforms: comparison of Ion Torrent, Pacific Biosciences and Illumina MiSeq sequencers.

Authors:  Michael A Quail; Miriam Smith; Paul Coupland; Thomas D Otto; Simon R Harris; Thomas R Connor; Anna Bertoni; Harold P Swerdlow; Yong Gu
Journal:  BMC Genomics       Date:  2012-07-24       Impact factor: 3.969

10.  The feasibility study of non-invasive fetal trisomy 18 and 21 detection with semiconductor sequencing platform.

Authors:  Young Joo Jeon; Yulin Zhou; Yihan Li; Qiwei Guo; Jinchun Chen; Shengmao Quan; Ahong Zhang; Hailing Zheng; Xingqiang Zhu; Jin Lin; Huan Xu; Ayang Wu; Sin-Gi Park; Byung Chul Kim; Hee Jae Joo; Hongliang Chen; Jong Bhak
Journal:  PLoS One       Date:  2014-10-20       Impact factor: 3.240

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  4 in total

Review 1.  The History and Future of Basic and Translational Cell-Free DNA Research at a Glance.

Authors:  Peter B Gahan; Heidi Schwarzenbach; Philippe Anker
Journal:  Diagnostics (Basel)       Date:  2022-05-10

2.  Noninvasive Prenatal Testing: Comparison of Two Mappers and Influence in the Diagnostic Yield.

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

3.  Non-invasive prenatal testing to detect chromosome aneuploidies in 57,204 pregnancies.

Authors:  Ying Xue; Guodong Zhao; Hong Li; Qin Zhang; Jiafeng Lu; Bin Yu; Ting Wang
Journal:  Mol Cytogenet       Date:  2019-06-20       Impact factor: 2.009

4.  Non-invasive prenatal test to screen common trisomies in twin pregnancies.

Authors:  Mahtab Motevasselian; Soraya Saleh Gargari; Sarang Younesi; Parichehr Pooransari; Pourandokht Saadati; Masoomeh Mirzamoradi; Shahram Savad; Mohammad Mahdi Taheri Amin; Mohammad-Hossein Modarresi; Maryam Afrakhteh; Soudeh Ghafouri-Fard
Journal:  Mol Cytogenet       Date:  2020-02-05       Impact factor: 2.009

  4 in total

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