Optimized NGS Approach for Detection of Aneuploidies and Mosaicism in PGT-A and Imbalances in PGT-SR.


Journal

Genes
ISSN: 2073-4425
Titre abrégé: Genes (Basel)
Pays: Switzerland
ID NLM: 101551097

Informations de publication

Date de publication:
29 06 2020
Historique:
received: 19 05 2020
revised: 16 06 2020
accepted: 24 06 2020
entrez: 3 7 2020
pubmed: 3 7 2020
medline: 19 3 2021
Statut: epublish

Résumé

The detection of chromosomal aneuploidies and mosaicism degree in preimplantation embryos may be essential for achieving pregnancy. The aim of this study was to determine the robustness of diagnosing homogenous and mosaic aneuploidies using a validated algorithm and the minimal resolution for de novo and inherited deletions and duplications (Del/Dup). Two workflows were developed and validated: (a,b) preimplantation genetic testing for uniform whole and segmental aneuploidies, plus mixtures of euploid/aneuploid genomic DNA to develop an algorithm for detecting mosaicism; and (c) preimplantation genetic testing for structural rearrangements for detecting Del/Dup ≥ 6 Mb. Next-generation sequencing (NGS) was performed with automatic library preparation and multiplexing up to 24-96 samples. Specificity and sensitivity for PGT-A were both 100% for whole chromosomes and segmentals. The thresholds stablished for mosaicism were: euploid embryos (<30% aneuploidy), low mosaic (from 30% to <50%), high mosaic (50-70%) or aneuploid (>70%). In the PGT-SR protocol, changes were made to increase the detection level to ≥6 Mb. This is the first study reporting an accurate assessment of semiautomated-NGS protocols using Reproseq on pools of cells. Both protocols allow for the analysis of homogeneous and segmental aneuploidies, different degrees of mosaicism, and small Del/Dup with high sensitivity and specificity.

Identifiants

pubmed: 32610655
pii: genes11070724
doi: 10.3390/genes11070724
pmc: PMC7397276
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Carmen M García-Pascual (CM)

R&D Department, Igenomix, 46980 Valencia, Spain.
Igenomix Foundation, 46980 Valencia, Spain.

Luis Navarro-Sánchez (L)

R&D Department, Igenomix, 46980 Valencia, Spain.

Roser Navarro (R)

R&D Department, Igenomix, 46980 Valencia, Spain.

Lucía Martínez (L)

R&D Department, Igenomix, 46980 Valencia, Spain.

Jorge Jiménez (J)

R&D Department, Igenomix, 46980 Valencia, Spain.

Lorena Rodrigo (L)

R&D Department, Igenomix, 46980 Valencia, Spain.

Carlos Simón (C)

R&D Department, Igenomix, 46980 Valencia, Spain.
School of Medicine, University of Valencia/INCLIVA, Valencia 46106, Spain.
Department of Obstetrics and Gynecology, School of Medicine, Stanford University, Stanford, CA 94305, USA.
Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX 77030, USA.

Carmen Rubio (C)

R&D Department, Igenomix, 46980 Valencia, Spain.
Igenomix Foundation, 46980 Valencia, Spain.

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Classifications MeSH