Cross-Validation of Next-Generation Sequencing Technologies for Diagnosis of Chromosomal Mosaicism and Segmental Aneuploidies in Preimplantation Embryos Model

Life

Federica Lecciso¹  Sara Bono¹  Ettore Cotroneo¹  Anil Biricik¹  Francesco Fiorentino¹  Francesca Spinella¹  Matteo Surdo¹  Mariateresa Sessa¹  MariaGiulia Minasi²  Ermanno Greco²  PierFrancesco Greco² 

[1] Eurofins Genoma Group, Molecular Genetics Laboratories, Via Castel Giubileo 11, 00138 Rome, Italy;Villa Mafalda, Reproductive Medicine, 00199 Rome, Italy;

关键词: next generation sequencing;    preimplantation genetic testing;    chromosomal mosaicism;    mosaic embryos;    segmental aneuploidies;   

DOI  :  10.3390/life11040340

来源: DOAJ

【 摘 要 】

Detection of mosaic embryos is crucial to offer more possibilities of success to women undergoing in vitro fertilization (IVF) treatment. Next Generation Sequencing (NGS)-based preimplantation genetic testing are increasingly used for this purpose since their higher capability to detect chromosomal mosaicism in human embryos. In the recent years, new NGS systems were released, however their performance for chromosomal mosaicism are variable. We performed a cross-validation analysis of two different NGS platforms in order to assess the feasibility of these techniques and provide standard parameters for the detection of such aneuploidies. The study evaluated the performance of Miseq^TM Veriseq (Illumina, San Diego, CA, USA) and Ion Torrent Personal Genome Machine PGM^TM ReproSeq (Thermo Fisher, Waltham, MA, USA) for the detection of whole and segmental mosaic aneuploidies. Reconstructed samples with known percentage of mosaicism were analyzed with both platforms and sensitivity and specificity were determined. Both platforms had high level of specificity and sensitivity with a Limit Of Detection (LOD) at ≥30% of mosaicism and a showed a ≥5.0 Mb resolution for segmental abnormalities. Our findings demonstrated that NGS methodologies are capable of accurately detecting chromosomal mosaicism and segmental aneuploidies. The knowledge of LOD for each NGS platform has the potential to reduce false-negative and false-positive diagnoses when applied to detect chromosomal mosaicism in a clinical setting.

【 授权许可】

Unknown