Evidence map›Paper›PMID 42353795›Full record

ReviewGenes2026

Copy Number Variant Detection by NIPT: Biological Constraints and the Limits of Prenatal Genomic Inference.

Dorina Merhala, Béla Veszprémi, Réka Anna Vass

Abstract readReview
In one paragraph

Review in Genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dorina MerhalaDoctoral School of Health Sciences, University of Pécs, 7622 Pécs, Hungary.
Béla VeszprémiDoctoral School of Health Sciences, University of Pécs, 7622 Pécs, Hungary.
Réka Anna VassDoctoral School of Health Sciences, University of Pécs, 7622 Pécs, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-invasive prenatal testing (NIPT) based on analysis of Cell-Free Fetal DNA has transformed screening for common aneuploidies and is increasingly extended to genome-wide detection of copy number variants (CNVs). However, CNV detection remains constrained by analytical limitations and biological signal complexity.

methodsThis review evaluates the analytical validity, biological constraints, and clinical interpretation challenges of CNV detection by NIPT, framing it as a probabilistic genomic inference rather than a direct measure of fetal copy number.

resultsPerformance depends on sequencing depth, bin resolution, fetal fraction, guanine-cytosine correction, and reference modeling, leading to variable detection thresholds. The predominantly placental origin of cfDNA introduces discordance through Confined Placental Mosaicism, post-zygotic events, and clonal variation. Maternal CNVs, mosaicism, vanishing twin, and occult malignancy further complicate interpretation and may cause false positives. Clinical validity is heterogeneous, with positive predictive value dependent on CNV size, genomic context, and prevalence. Reporting practices remain inconsistent.

conclusionsCNV detection by NIPT is fundamentally limited by interpretation of a composite maternal-placental signal. Progress requires improved tissue-of-origin discrimination, multi-omic integration, and standardized reporting to ensure responsible clinical implementation.

Indexed as

DNA Copy Number VariationsNoninvasive Prenatal TestingPrenatal DiagnosisCell-Free Nucleic AcidsFemaleGenomicsHumansPlacentaPregnancyCell-Free Nucleic Acidscell-free fetal DNAconfined placental mosaicismcopy number variantsnon-invasive prenatal testingprenatal genomic inference

Identifiers

PMID42353795
PMCPMC13300338

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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.