| Title | MeDIP combined with in-solution targeted enrichment followed by NGS: Inter-individual methylation variability of fetal-specific biomarkers and their implementation in a proof of concept study for NIPT |
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| Type | Journal article |
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| Authors | Anna Keravnou, Marios Ioannides, Charalambos Loizides, Kyriakos Tsangaras, Achilleas Achilleos, Petros Mina, Elena Kypri, Michael D. Hadjidaniel, Maria Neofytou, Skevi Kyriacou, Carolina Sismani, George Koumbaris and Philippos C. Patsalis |
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| Abstract | DNA methylation is the most characterized epigenetic process exhibiting stochastic variation across different tissues and individuals. In non-invasive prenatal testing (NIPT) fetal specific methylated regions can potentially be used as biomarkers for the accurate detection of fetal aneuploidies. The aim of this study was the investigation of inter-individual methylation variability of previously reported fetal-specific markers and their implementation towards the development of a novel NIPT assay for the detection of trisomies 13, 18, and 21. Methylated DNA Immunoprecipitation (MeDIP) combined with in-solution targeted enrichment followed by NGS was performed in 29 CVS and 27 female plasma samples to assess inter-individual methylation variability of 331 fetal-specific differentially methylated regions (DMRs). The same approach was implemented for the NIPT of trisomies 13, 18 and 21 using spiked-in (n = 6) and pregnancy samples (n = 44), including one trisomy 13, one trisomy 18 and four trisomy 21. Despite the variability of DMRs, CVS samples showed statistically significant hypermethylation (p<2e-16) compared to plasma samples. Importantly, our assay correctly classified all euploid and aneuploid cases without any false positive results (n = 44). This work provides the starting point for the development of a NIPT assay based on a robust set of fetal specific biomarkers for the detection of fetal aneuploidies. Furthermore, the assay’s targeted nature significantly reduces the analysis cost per sample while providing high read depth at regions of interest increasing significantly its accuracy. |
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| Article number | e0199010 |
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| Journal | PLoS ONE |
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| Journal citation | 13 (6) |
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| ISSN | 1932-6203 |
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| Year | 2018 |
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| Publisher | PLoS |
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| Accepted author manuscript | File Access Level Open (open metadata and files) |
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| Publisher's version | License CC BY 4.0 File Access Level Open (open metadata and files) |
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| Digital Object Identifier (DOI) | https://doi.org/10.1371/journal.pone.0199010 |
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| PubMed ID | 29889893 |
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| Web address (URL) | https://pubmed.ncbi.nlm.nih.gov/29889893/ |
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| Publication dates |
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| Published | 11 Jun 2018 |
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