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Evaluation of droplet digital PCR for non-invasive prenatal diagnosis of phenylketonuria

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Abstract

This study was carried out to establish a non-invasive prenatal diagnosis method for phenylketonuria (PKU) based on droplet digital PCR (ddPCR) and to evaluate its accuracy by comparison with conventional invasive diagnostic methods. A total of 24 PKU pedigrees that required prenatal diagnosis were studied, in which the genetic mutations in the probands and parents were unambiguous. Prenatal diagnosis of sibling fetuses was performed using traditional invasive prenatal diagnostic methods as a standard. At the same time, cell-free DNA (cfDNA) was extracted from maternal plasma and the fetal genes contained within were typed and quantified using ddPCR method. Invasive prenatal diagnosis determined that 3 of the 24 fetuses were affected, 8 of them were normal, and 13 were heterozygous carriers of pathogenic mutations. Successful non-invasive prenatal diagnosis analysis of PAH gene mutations was performed for 8 of the families using ddPCR method. Non-invasive prenatal diagnosis results were consistent with the results of the invasive prenatal diagnoses and no false positive or false negative results were found. In conclusion, this study is the first to establish non-invasive prenatal diagnosis of PKU based on ddPCR. The method showed high sensitivity and specificity from cfDNA, indicating that ddPCR is a reliable non-invasive prenatal diagnosis tool for PKU diagnosis.

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Funding

This study was supported by the National Key Research and Development Program of China (Grant Nos. 2016YFC1000307, 2018YFC1002201) and Natural Science Foundation of Gansu Province (Grant No. 18JR3RA036).

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Correspondence to Huafang Gao or Xu Ma.

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The authors declare that they have no conflict of interest.

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This study was approved by the Ethics Committee of Gansu Province Maternal and Child Health Care Hospital.

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Written informed consent was provided by each included subject in this study.

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Yan, Y., Wang, F., Zhang, C. et al. Evaluation of droplet digital PCR for non-invasive prenatal diagnosis of phenylketonuria. Anal Bioanal Chem 411, 7115–7126 (2019). https://doi.org/10.1007/s00216-019-02087-4

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  • DOI: https://doi.org/10.1007/s00216-019-02087-4

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  1. Yousheng Yan
  2. Huafang Gao