Analysis of parental contribution for aneuploidy detection (APCAD): a novel method to detect aneuploidy and mosaicism in preimplantation embryos.


Journal

Reproductive biomedicine online
ISSN: 1472-6491
Titre abrégé: Reprod Biomed Online
Pays: Netherlands
ID NLM: 101122473

Informations de publication

Date de publication:
Mar 2022
Historique:
received: 02 06 2021
revised: 03 10 2021
accepted: 29 10 2021
pubmed: 22 12 2021
medline: 19 4 2022
entrez: 21 12 2021
Statut: ppublish

Résumé

Can (mosaic) aneuploidy be reliably detected in preimplantation embryos after multiple displacement amplification and single nucleotide polymorphism detection, independent of haplotyping and copy number detection, with a new method 'analysis of parental contribution for aneuploidy detection' or 'APCAD'? This method is based on the maternal contribution, a parameter that reflects the proportion of DNA that is of maternal origin for a given chromosome or chromosome segment. A maternal contribution deviating from 50% for autosomes is strongly indicative of a (mosaic) chromosomal anomaly. The method was optimized using cell mixtures with varying ratios of euploid and aneuploid (47,XY,+21) lymphocytes. Next, the maternal contribution was retrospectively measured for all chromosomes from 349 Karyomapping samples. Retrospective analysis showed a skewed maternal contribution (<36.4 or >63.6%) in 57 out of 59 autosome meiotic trisomies and all autosome monosomies (n = 57), with values close to theoretical expectation. Thirty-two out of 7436 chromosomes, for which no anomalies had been observed with Karyomapping, showed a similarly skewed maternal contribution. APCAD was used to measure the maternal contribution, which is an intuitive parameter independent of copy number detection. This method is useful for detecting copy number neutral anomalies and can confirm diagnosis of (mosaic) aneuploidy detected based on copy number. Mosaic and complete aneuploidy can be distinguished and the parent of origin for (mosaic) chromosome anomalies can be determined. Because of these benefits, the APCAD method has the potential to improve aneuploidy detection carried out by comprehensive preimplantation genetic testing methods.

Identifiants

pubmed: 34930679
pii: S1472-6483(21)00545-9
doi: 10.1016/j.rbmo.2021.10.023
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

459-468

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Pieter Verdyck (P)

Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Centrum Medische Genetica, Laarbeeklaan 101, Brussels 1090, Belgium. Electronic address: Pieter.Verdyck@uzbrussel.be.

Veerle Berckmoes (V)

Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Centrum Medische Genetica, Laarbeeklaan 101, Brussels 1090, Belgium.

Sven Van Laere (S)

Vrije Universiteit Brussel (VUB), Interfaculty Center Data Processing and Statistics, Laarbeeklaan 103, Brussels 1090, Belgium.

Kathelijn Keymolen (K)

Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Centrum Medische Genetica, Laarbeeklaan 101, Brussels 1090, Belgium.

Catharina Olsen (C)

Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Centrum Medische Genetica, Laarbeeklaan 101, Brussels 1090, Belgium; Brussels Interuniversity Genomics High Throughput core (BRIGHTcore), VUB-ULB, Laarbeeklaan 101, Brussels 1090, Belgium.

Martine De Rycke (M)

Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Centrum Medische Genetica, Laarbeeklaan 101, Brussels 1090, Belgium.

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