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NIPT Technique Based on the Use of Long Chimeric DNA Reads

Authors :
V V Ilinsky
Sergey Evfratov
Gennady V. Khvorykh
Vera Belova
Denis V. Rebrikov
Alexander Rakitko
Daria Plakhina
Dmitriy Korostin
Kirill Tsukanov
Alexander Konoplyannikov
Source :
Genes, Volume 11, Issue 6, Genes, Vol 11, Iss 590, p 590 (2020)
Publication Year :
2020
Publisher :
Multidisciplinary Digital Publishing Institute, 2020.

Abstract

Non-invasive prenatal testing (NIPT) for aneuploidy on Chromosomes 21 (T21), 18 (T18) and 13 (T13) is actively used in clinical practice around the world. One of the limitations of the wider implementation of this test is the high cost of the analysis itself, as high-throughput sequencing is still relatively expensive. At the same time, there is an increasing trend in the length of reads yielded by sequencers. Since extracellular DNA is short, in the order of 140&ndash<br />160 bp, it is not possible to effectively use long reads. The authors used high-performance sequencing of cell-free DNA (cfDNA) libraries that went through additional stages of enzymatic fragmentation and random ligation of the resulting products to create long chimeric reads. The authors used a controlled set of samples to analyze a set of cfDNA samples from pregnant women with a high risk of fetus aneuploidy according to the results of the first trimester screening and confirmed by invasive karyotyping of the fetus using laboratory and analytical approaches developed by the authors. They evaluated the sensitivity, specificity, PPV (positive predictive value), and NPV (negative predictive value) of the results. The authors developed a technique for constructing long chimeric reads from short cfDNA fragments and validated the test using a control set of extracellular DNA samples obtained from pregnant women. The obtained sensitivity and specificity parameters of the NIPT developed by the authors corresponded to the approaches proposed earlier (99.93% and 99.14% for T21<br />100% and 98.34% for T18<br />100% and 99.17% for T13, respectively).

Details

Language :
English
ISSN :
20734425
Database :
OpenAIRE
Journal :
Genes
Accession number :
edsair.doi.dedup.....91831d07354c81e8d598166b0e057fa5
Full Text :
https://doi.org/10.3390/genes11060590