Whole Genome Amplification in Preimplantation Genetic Testing in the Era of Massively Parallel Sequencing
Open accessAbstract
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.
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The complexity of genomes, including structural variations and non-coding regions, presents a significant challenge for alignment.
“The complexity of genomes, including structural variations and non-coding regions, presents a significant challenge for alignment [79].”
From Whole-Genome Alignment: Methods, Challenges, and Future Directions (2024) · cites this paper as [79]
Section 5.1 (Mappability of Reads; page unavailable) discusses reads that fail to align to a reference genome, but attributes them to factors such as primer dimers, short fragments and non-target DNA. Our copy does not say that structural variations or non-coding regions make genome alignment difficult. Searched for those terms and for mapping-related passages. (LLM, conf=0.76)
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De Rycke, M., & Berckmoes, V. (2020) · Genes · doi:10.3390/genes11080871 · Cited by 140 · see citing works
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Cited by
Sorted by citations
Whole-Genome Alignment: Methods, Challenges, and Future Directions
Saada, B., Zhang, T., Siga, E., Zhang, J., & Magalhães Muniz, M. M. (2024) · Applied Sciences · doi:10.3390/app14114837 · Cited by 15 · see citing works
- Authors
- Volozonoka, L., Miskova, A., & Gailite, L.
- Affiliations
- Scientific Laboratory of Molecular Genetics, Riga Stradins University, LV-1007 Riga, Latvia
- Riga Stradiņš University (LV)
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2022-04-27
- Volume
- 23
- Issue
- 9
- Pages
- 4819
- ISSN
- 1422-0067 (ISSN-L)
- PMC
- PMC9102663
- OpenAlex
- W4280558381
- Cited by
- 52
- References
- 2
- Citations by year
- 2026: 14 · 2025: 13 · 2024: 13 · 2023: 9 · 2022: 3
- FWCI
- 2.33
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Molecular Sciences (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Prenatal Screening and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- whole genome amplification, preimplantation genetic testing, next-generation sequencing, multiple displacement amplification, MALBAC, copy number variation, bioinformatics pipeline
- MeSH terms
- Genetic Testing, Nucleotides, Genomics, DNA Copy Number Variations, High-Throughput Nucleotide Sequencing
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