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ArticleEuropean journal of human genetics : EJHG2026

digitalMLPA EZtec-MS: A new highly multiplexed DNA probe-based technique for neonatal screening.

Terence Diane Fabella, Joery den Hoed, Eva Maria Cutiongco-de la Paz, Carmencita Padilla, Chris Hettinga, Karel de Groot, Martin Lodén-van Straaten, Tatiana C Santos, Richiel van den Berg, Erik A Sistermans and 1 more

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Article in European journal of human genetics : EJHG, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Terence Diane Fabella *Department of Human Genetics and Amsterdam Reproduction and Development Research Institute, Amsterdam, the Netherlands, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands. tffabella@up.edu.ph.ORCID http://orcid.org/0009-0002-3244-301X
Joery den Hoed *MRC Holland bv, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0001-6614-876X
Eva Maria Cutiongco-de la PazInstitute of Human Genetics, National Institutes of Health, University of the Philippines, Manila, Philippines.
Carmencita PadillaInstitute of Human Genetics, National Institutes of Health, University of the Philippines, Manila, Philippines.
Chris HettingaMRC Holland bv, Amsterdam, the Netherlands.
Karel de GrootMRC Holland bv, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0003-4554-9796
Martin Lodén-van StraatenMRC Holland bv, Amsterdam, the Netherlands.
Tatiana C SantosMRC Holland bv, Amsterdam, the Netherlands.ORCID http://orcid.org/0009-0000-5188-1168
Richiel van den BergMRC Holland bv, Amsterdam, the Netherlands.
Erik A SistermansDepartment of Human Genetics and Amsterdam Reproduction and Development Research Institute, Amsterdam, the Netherlands, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0001-7187-4563
Jan SchoutenMRC Holland bv, Amsterdam, the Netherlands. j.schouten@mrcholland.com.ORCID http://orcid.org/0009-0006-8747-5085

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decreasing DNA sequencing costs has paved the way to the use of next generation sequencing (NGS) to expand the number of conditions tested in routine newborn screening (NBS) programs. Expanding NBS programs by NGS, however, raises technical, ethical and economic concerns that are important for low-middle income countries or countries that are hesitant to use sequencing in a public health setting. qPCR-based DNA analyses have already been implemented in routine NBS programs; however, qPCR cannot be highly multiplexed. digitalMLPA (dMLPA) is a highly multiplexed probe-based DNA technique. Here, we describe the new dMLPA EZtec-MS technique that was specifically developed for use on dried blot spots (DBS) and can target up to 1200 DNA sequences representing different variant types, allowing high-throughput testing of crude DNA extracts prepared from a single DBS punch. The assay was validated using positive DNA samples and crude DNA extracts from DBS of 2069 negatively screened Philippine newborns. The EZtec-MS assay used in this study successfully detected copy number variants, (including complex genomic regions (SMN1/2, HBA1/2)), inversions (F8), methylation (imprinting diseases, Fragile X), single nucleotide variants (including ATP7B, CTNS, MT-RNR1), and low copy number sequences (TRECs for SCID, cytomegalovirus) in a single reaction in both positive DNA and crude DNA extracts from DBS. The results also demonstrated that dMLPA EZtec-MS is a high-throughput method, suitable for DBS, and has a relatively short turn-around time of 36-40 h. Our findings indicate that the dMLPA EZtec-MS technique is a promising versatile tool for DNA-based NBS programs.

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.