Skip to content
Open access

Integrated Single-Strand DNA Capture and Haplotype-Guided Variant Calling Platform for Non-Invasive Prenatal Testing of Monogenic Disorders

Jul 2026 · Diagnostics · Vol 16, pp. 2344 · 0 citations · 33 references
Medicine

TL;DR

An accurate and robust NIPT-MD platform for monogenic disorders, with high concordance to invasive testing validated in a retrospective cohort of 35 clinical cases, holds promise for clinical application in managing families at high risk of monogenic diseases.

Abstract

Background/Objectives: Non-invasive prenatal testing for monogenic disorders (NIPT-MD) provides a safe alternative to invasive procedures. However, its clinical utility is often limited by challenges such as low fetal fractions (FF), technical artifacts, and the difficulty in resolving maternally inherited pathogenic variants from the overwhelming background of maternal cell-free DNA (cfDNA). This study aimed to develop and validate a robust NIPT-MD platform for monogenic disorders, applicable across major common Mendelian inheritance patterns, by enhancing the accuracy of fetal variant detection in cfDNA. Methods: We developed a novel NIPT-MD platform validated using both simulated samples and a retrospective clinical cohort. The workflow involves a single-strand capture library preparation incorporating unique molecular identifiers (UMIs) to mitigate amplification artifacts. FF was precisely quantified using a fixed panel of high-minor-allele-frequency single-nucleotide polymorphisms (SNPs). Fetal genotypes were then inferred by resolving parental haplotypes through a statistical model that integrates weighting of variant allele frequency (VAF) and haplotype-informative SNP counts. Results: The single-strand capture protocol incorporating UMIs significantly reduced amplification biases. Validation of the fetal DNA fraction estimation algorithm revealed strong concordance with a Y-chromosome-derived method and expected spike-in samples. Optimization of the FF estimation panel conferred greater experimental stability. The platform reliably detected both paternally and maternally inherited pathogenic variants. In a retrospective cohort of 35 clinical cases, the NIPT-MD platform achieved high concordance with genotypes determined by invasive testing. Conclusions: These findings present an accurate and robust NIPT-MD platform for monogenic disorders, with high concordance to invasive testing validated in a retrospective cohort of 35 clinical cases. This method holds promise for clinical application in managing families at high risk of monogenic diseases.

Read PDF

Similar papers

Review Aug 2026

Molecular Prenatal Diagnosis of Monogenic Diseases, Towards Non-invasive Procedures.

In this narrative review, we outline the historical progression of, and modern advancements in, prenatal diagnosis for monogenic diseases. Initially dependent on invasive sampling procedures, prenatal diagnosis has evolved through the integration of high-throughput molecular techniques, such as next-generation sequenci...

Camille Verebi, J. Nectoux, Thierry Bienvenu · 0 citations
Oct 2026

Clinical Performance Evaluation of Size-Selective Placental Cell-Free DNA Enrichment for Non-Invasive Prenatal Testing of Fetal Copy Number Variants.

OBJECTIVE To evaluate the performance of low-depth non-invasive prenatal testing (NIPT) using cell-free DNA enrichment for detecting fetal copy number variations (CNVs) and to assess its clinical utility. METHODS A retrospective analysis was conducted on 86,012 pregnant women who underwent NIPT with size-selective ce...

Xiao-Yi Liu, Xian-Zhen Cao, Liang Hu et al. · 0 citations
#software testing Open access Aug 2026

T-rex: standardized analysis of germline variants in whole-exome sequencing trios

Whole-exome sequencing (WES) enables the identification of rare germline variants contributing to pediatric diseases. Trio-based sequencing, comparing affected children with their parents, is particularly effective for rare disease genetics. However, WES data analysis requires bioinformatics expertise, varies across in...

Sara-Luisa Reh, C. Walter, J. Lohse et al. · 0 citations
Open access Aug 2026

Comparative evaluation of genotyping and low-pass sequencing for pharmacogenetic variant and phenotype inference

Overall, LP-WGS provides broader variant coverage and improved resolution for selected pharmacogenes but did not resolve all clinically important loci, and these findings support further evaluation of LP-WGS as a scalable PGx screening approach, especially where long-term genomic data reuse is a priority.

F. Hodel, C. Thorball, D. Haefliger et al. · 0 citations
Open access Sep 2026

The Implementation and Clinical Validation of a Whole-Genome Sequencing Non-Invasive Prenatal Test in a High-Complexity Clinical Laboratory: A Retrospective Analysis of 11,235 Pregnancies

Background: Cell-free DNA non-invasive prenatal testing (NIPT) is recommended by the American College of Obstetricians and Gynecologists (ACOG) and the American College of Medical Genetics and Genomics (ACMG) for fetal aneuploidy screening in all pregnancies, yet most testing is performed by centralized reference labor...

L. Northrop, Jay Eastway, Sudhakar Ravuri et al. · 0 citations
Open access Aug 2026

Pangenomes aid accurate detection of large insertions and deletions from targeted sequencing: the case of cardiomyopathies

The results indicate that pangenome-based workflows aid improved detection of large variants from targeted sequencing data in the clinical context and suggest that they may contribute to more unified variant detection frameworks for all-size genetic variants in the future.

F. Mazzarotto, Özem Kalay, E. Arslan et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.