Development of a new methylation‐based fetal fraction estimation assay using multiplex ddPCR

差异甲基化区 多路复用 胎儿 DNA甲基化 生物 胎儿游离DNA 甲基化DNA免疫沉淀 男科 怀孕 医学 生物信息学 产前诊断 遗传学 基因 基因表达
作者
Marios Ioannides,Achilleas Achilleos,Skevi Kyriakou,Elena Kypri,Charalambos Loizides,Kyriakos Tsangaras,Louiza Constantinou,George Koumbaris,Philippos C. Patsalis
出处
期刊:Molecular Genetics & Genomic Medicine [Wiley]
卷期号:8 (2) 被引量:9
标识
DOI:10.1002/mgg3.1094
摘要

Abstract Background Non‐invasive prenatal testing (NIPT) for fetal aneuploidies has rapidly been incorporated into clinical practice. Current NGS‐based methods can reliably detect fetal aneuploidies non‐invasively with fetal fraction of at least 4%. Inaccurate fetal fraction assessment can compromise the accuracy of the test as affected samples with low fetal fraction have an increased risk for misdiagnosis. Using a novel set of fetal‐specific differentially methylated regions (DMRs) and methylation sensitive restriction digestion (MSRD), we developed a multiplex ddPCR assay for accurate detection of fetal fraction in maternal plasma. Methods We initially performed MSRD followed by methylation DNA immunoprecipitation (MeDIP) and NGS on fetal and non‐pregnant female tissues to identify fetal‐specific DMRs. DMRs with the highest methylation difference between the two tissues were selected for fetal fraction estimation employing MSRD and multiplex ddPCR. Chromosome Y multiplex ddPCR assay (YMM) was used as a reference standard, to develop our fetal fraction estimation model in male pregnancy samples. Additional 123 samples were tested to examine whether the model is sex dependent and/or ploidy dependent. Results In all, 93 DMRs were identified of which seven were selected for fetal fraction estimation. Statistical analysis resulted in the final model which included four DMRs (FFMM). High correlation with YMM‐based fetal fractions was observed using 85 male pregnancies ( r = 0.86 95% CI: 0.80–0.91). The model was confirmed using an independent set of 53 male pregnancies. Conclusion By employing a set of well‐characterized DMRs, we developed a SNP‐, sex‐ and ploidy‐independent methylation‐based multiplex ddPCR assay for accurate fetal fraction estimation.

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