Please use this identifier to cite or link to this item: 10.3390/ijms23094819
Title: Whole Genome Amplification in Preimplantation Genetic Testing in the Era of Massively Parallel Sequencing
Authors: Voložonoka, Ludmila
Miskova, Anna
Gailīte, Linda
Scientific Laboratory of Molecular Genetics
Department of Obstetrics and Gynaecology
Keywords: 3.1 Basic medicine;3.2 Clinical medicine;1.1. Scientific article indexed in Web of Science and/or Scopus database
Issue Date: 1-May-2022
Citation: Voložonoka , L , Miskova , A & Gailīte , L 2022 , ' Whole Genome Amplification in Preimplantation Genetic Testing in the Era of Massively Parallel Sequencing ' , International Journal of Molecular Sciences , vol. 23 , no. 9 , 4819 . https://doi.org/10.3390/ijms23094819
Abstract: Successful whole genome amplification (WGA) is a cornerstone of contemporary preimplantation genetic testing (PGT). Choosing the most suitable WGA technique for PGT can be particularly challenging because each WGA technique performs differently in combination with different downstream processing and detection methods. The aim of this review is to provide insight into the performance and drawbacks of DOP-PCR, MDA and MALBAC, as well as the hybrid WGA techniques most widely used in PGT. As the field of PGT is moving towards a wide adaptation of comprehensive massively parallel sequencing (MPS)-based approaches, we especially focus our review on MPS parameters and detection opportunities of WGA-amplified material, i.e., mappability of reads, uniformity of coverage and its influence on copy number variation analysis, and genomic coverage and its influence on single nucleotide variation calling. The ability of MDA-based WGA solutions to better cover the targeted genome and the ability of PCR-based solutions to provide better uniformity of coverage are highlighted. While numerous comprehensive PGT solutions exploiting different WGA types and adjusted bioinformatic pipelines to detect copy number and single nucleotide changes are available, the ones exploiting MDA appear more advantageous. The opportunity to fully analyse the targeted genome is influenced by the MPS parameters themselves rather than the solely chosen WGA.
Description: Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
DOI: 10.3390/ijms23094819
ISSN: 1661-6596
Appears in Collections:Research outputs from Pure / Zinātniskās darbības rezultāti no ZDIS Pure

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