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Non-invasive prenatal diagnosis of monogenic disorders: an optimized protocol using MEMO qPCR with miniSTR as internal control

  • Claire Guissart EMAIL logo , Vanessa Debant , Marie Desgeorges , Corinne Bareil , Caroline Raynal , Caroline Toga , Victoria Pritchard , Michel Koenig , Mireille Claustres and Marie-Claire Vincent
Published/Copyright: October 2, 2014

Abstract

Background: Analysis of circulating cell-free fetal DNA (cffDNA) in maternal plasma is very promising for early diagnosis of monogenic diseases. However, this approach is not yet available for routine use and remains technically challenging because of the low concentration of cffDNA, which is swamped by the overwhelming maternal DNA.

Methods: To make clinical applications more readily accessible, we propose a new approach based on mutant enrichment with 3′-modified oligonucleotides (MEMO) PCR along with real-time PCR to selectively amplify from the maternal blood the paternally inherited fetal allele that is not present in the maternal genome.

Results: The first proof of concept of this strategy was displayed for cystic fibrosis by the accuracy of our detection of the p.Gly542* mutation used as the initial developmental model. Subsequently, a retrospective study of plasmas originating from two pregnant women carrying a fetus with private mutation confirmed the effectiveness of our method. We confirmed the presence of cffDNA in the studied samples by the identification of a tri-allelic DNA profile using a miniSTR kit.

Conclusions: This new non-invasive prenatal diagnosis test offers numerous advantages over current methods: it is simple, cost effective, time efficient and does not require complex equipment or bioinformatics settings. Moreover, our assays for different private mutations demonstrate the viability of this approach in clinical settings for monogenic disorders.


Corresponding author: Dr Claire Guissart, Institut Universitaire de Recherche Clinique, 641 Avenue du Doyen Gaston Giraud, 34093 Montpellier cedex5, France, E-mail: ; INSERM U827, Université Montpellier I and Laboratoire de Génétique Moléculaire, CHRU Montpellier, Montpellier, France

Acknowledgments

This work was supported in part by the ‘Agence de Biomédecine’ (AOR2012-U9039). We would also like to thank our clinician Colleagues for their diligence in collecting the samples, especially Pr P. Boulot, Dr C. Rouzier, Dr P. Kau Van Khien and A. Chabert.

Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

Financial support: None declared.

Employment or leadership: None declared.

Honorarium: None declared.

Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

References

1. Tsui NB, Lo YM. Recent advances in the analysis of fetal nucleic acids in maternal plasma. Curr Opin Hematol 2012;19:462–8.10.1097/MOH.0b013e328358e17aSearch in Google Scholar

2. Rodríguez de Alba M, Bustamante-Aragonés A, Perlado S, Trujillo-Tiebas MJ, Díaz-Recasens J, Plaza-Arranz J, et al. Noninvasive prenatal diagnosis of monogenic disorders. Expert Opin Biol Ther 2012;12(Suppl 1):S171–9.10.1517/14712598.2012.674509Search in Google Scholar

3. Bustamante-Aragonés A, Rodríguez de Alba M, Perlado S, Trujillo-Tiebas MJ, Arranz JP, Díaz-Recasens J, et al. Non-invasive prenatal diagnosis of single-gene disorders from maternal blood. Gene 2012;504:144–9.10.1016/j.gene.2012.04.045Search in Google Scholar

4. Chan KC. Clinical applications of the latest molecular diagnostics in noninvasive prenatal diagnosis. Top Curr Chem 2014;336: 47–65.10.1007/128_2012_352Search in Google Scholar

5. Bustamante-Aragones A, Gonzalez-Gonzalez C, de Alba MR, Ainse E, Ramos C. Noninvasive prenatal diagnosis using ccffDNA in maternal blood: state of the art. Expert Rev Mol Diagn 2010;10:197–205.10.1586/erm.09.86Search in Google Scholar

6. Mujezinovic F, Alfirevic Z. Procedure-related complications of amniocentesis and chorionic villous sampling: a systematic review. Obstet Gynecol 2007;110:687–94.10.1097/01.AOG.0000278820.54029.e3Search in Google Scholar

7. Lo YM, Corbetta N, Chamberlain PF, Rai V, Sargent IL, Redman CW, et al. Presence of fetal DNA in maternal plasma and serum. Lancet 1997;350:485–7.10.1016/S0140-6736(97)02174-0Search in Google Scholar

8. Honda H, Miharu N, Ohashi Y, Samura O, Kinutani M, Hara T, et al. Fetal gender determination in early pregnancy through qualitative and quantitative analysis of fetal DNA in maternal serum. Hum Genet 2002;110:75–9.10.1007/s00439-001-0649-3Search in Google Scholar PubMed

9. Alberry M, Maddocks D, Jones M, Abdel Hadi M, Abdel-Fattah S, Avent N, et al. Free fetal DNA in maternal plasma in anembryonic pregnancies: confirmation that the origin is the trophoblast. Prenat Diagn 2007;27:415–8.10.1002/pd.1700Search in Google Scholar PubMed

10. Chan KC, Zhang J, Hui AB, Wong N, Lau TK, Leung TN, et al. Size distributions of maternal and fetal DNA in maternal plasma. Clin Chem 2004;50:88–92.10.1373/clinchem.2003.024893Search in Google Scholar PubMed

11. Lun FM, Chiu RW, Allen Chan KC, Yeung Leung T, Kin Lau T, Dennis Lo YM. Microfluidics digital PCR reveals a higher than expected fraction of fetal DNA in maternal plasma. Clin Chem 2008;54:1664–72.10.1373/clinchem.2008.111385Search in Google Scholar

12. Lo YM, Tein MS, Lau TK, Haines CJ, Leung TN, Poon PM, et al. Quantitative analysis of fetal DNA in maternal plasma and serum: implications for noninvasive prenatal diagnosis. Am J Hum Genet 1998;62:768–75.10.1086/301800Search in Google Scholar

13. Lo YM, Zhang J, Leung TN, Lau TK, Chang AM, Hjelm NM. Rapid clearance of fetal DNA from maternal plasma. Am J Hum Genet 1999;64:218–24.10.1086/302205Search in Google Scholar

14. Lench N, Barrett A, Fielding S, McKay F, Hill M, Jenkins L, et al. The clinical implementation of non-invasive prenatal diagnosis for single-gene disorders: challenges and progress made. Prenat Diagn 2013;33:555–62.10.1002/pd.4124Search in Google Scholar

15. Lee S-T, Kim J-Y, Kown M-J, Kim SW, Chung JH, Ahn M-J, et al. Mutant enrichment with 3’-modified oligonucleotides a practical PCR method for detecting trace mutant DNAs. J Mol Diagn 2011;13:657–68.10.1016/j.jmoldx.2011.07.003Search in Google Scholar

16. Salvatore D, Buzzetti R, Baldo E, Forneris MP, Lucidi V, Manunza D, et al. An overview of international literature from cystic fibrosis registries. Part 3. Disease incidence, genotype/phenotype correlation, microbiology, pregnancy, clinical complications, lung transplantation, and miscellanea. J Cyst Fibros 2011;10: 71–85.10.1016/j.jcf.2010.12.005Search in Google Scholar

17. Claustres M, Guittard C, Bozon D, Chevalier F, Verlingue C, Ferec C, et al. Spectrum of CFTR mutations in cystic fibrosis and in congenital absence of the vas deferens in France. Hum Mutat 2000;16:143–56.10.1002/1098-1004(200008)16:2<143::AID-HUMU7>3.0.CO;2-JSearch in Google Scholar

18. Bustamante-Aragones A, Gallego-Merlo J, Trujillo-Tiebas MJ, de Alba MR, Gonzalez-Gonzalez C, Glover G, et al. New strategy for the prenatal detection/exclusion of paternal cystic fibrosis mutations in maternal plasma. J Cyst Fibros 2008;7:505–10.10.1016/j.jcf.2008.05.006Search in Google Scholar

19. González-González MC, García-Hoyos M, Trujillo MJ, Rodríguez de Alba M, Lorda-Sánchez I, Díaz-Recasens J, et al. Prenatal detection of a cystic fibrosis mutation in fetal DNA from maternal plasma. Prenat Diagn 2002;22:946–8.10.1002/pd.439Search in Google Scholar

20. Nasis O, Thompson S, Hong T, Sherwood M, Radcliffe S, Jackson L, et al. Improvement in sensitivity of allele-specific PCR facilitates reliable noninvasive prenatal detection of cystic fibrosis. Clin Chem 2004;50:694–701.10.1373/clinchem.2003.025981Search in Google Scholar

21. Wright CF, Burton H. The use of cell-free fetal nucleic acids in maternal blood for non-invasive prenatal diagnosis. Hum Reprod Update 2009;15:139–51.Search in Google Scholar

22. Grubwieser P, Mühlmann R, Berger B, Niederstätter H, Pavlic M, Parson W. A new “miniSTR-multiplex” displaying reduced amplicon lengths for the analysis of degraded DNA. Int J Legal Med 2006;120:115–20.10.1007/s00414-005-0013-6Search in Google Scholar PubMed

23. Milbury CA, Li J, Makrigiorgos GM. COLD-PCR-enhanced high-resolution melting enables rapid and selective identification of low-level unknown mutations. Clin Chem 2009;55:2130–43.10.1373/clinchem.2009.131029Search in Google Scholar PubMed PubMed Central

24. Galbiati S, Brisci A, Damin F, Gentilin B, Curcio C, Restagno G, et al. Fetal DNA in maternal plasma: a noninvasive tool for prenatal diagnosis of beta-thalassemia. Expert Opin Biol Ther 2012;12(Suppl 1):S181–7.10.1517/14712598.2012.677428Search in Google Scholar PubMed

25. Macher HC, Martinez-Broca MA, Rubio-Calvo A, Leon-Garcia C, Conde-Sanchez M, Costa A, et al. Non-invasive prenatal diagnosis of multiple endocrine neoplasia type 2A using COLD-PCR combined with HRM genotyping analysis from maternal serum. PLoS One 2012;7:e51024.10.1371/journal.pone.0051024Search in Google Scholar PubMed PubMed Central

26. Phylipsen M, Yamsri S, Treffers EE, Jansen DT, Kanhai WA, Boon EM, et al. Non-invasive prenatal diagnosis of beta-thalassemia and sickle-cell disease using pyrophosphorolysis-activated polymerization and melting curve analysis. Prenat Diagn 2012;32:578–87.10.1002/pd.3864Search in Google Scholar PubMed

27. Page-Christiaens GC, Bossers B, van der Schoot CE, De Haas M. Use of bi-allelic insertion/deletion polymorphisms as a positive control for fetal genotyping in maternal blood: first clinical experience. Ann N Y Acad Sci 2006;1075:123–9.10.1196/annals.1368.016Search in Google Scholar PubMed

28. Doescher A, Petershofen EK, Wagner FF, Schunter M, Müller TH. Evaluation of single-nucleotide polymorphisms as internal controls in prenatal diagnosis of fetal blood groups. Transfusion 2013;53:353–62.10.1111/j.1537-2995.2012.03738.xSearch in Google Scholar PubMed

29. Mulero JJ, Chang CW, Lagacé RE, Wang DY, Bas JL, McMahon TP, et al. Development and validation of the AmpFlSTR MiniFiler PCR Amplification Kit: a MiniSTR multiplex for the analysis of degraded and/or PCR inhibited DNA. J Forensic Sci 2008;53:838–52.10.1111/j.1556-4029.2008.00760.xSearch in Google Scholar PubMed

Received: 2014-5-9
Accepted: 2014-9-2
Published Online: 2014-10-2
Published in Print: 2015-2-1

©2015 by De Gruyter

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