Evidence map›Paper›PMID 39578906›Full record

ArticleHuman genomics2024

SCAN: a nanopore-based, cost effective decision-supporting tool for mass screening of aneuploidies.

Anne Kristine Schack, M Carmen Garrido-Navas, David Galevski, Gjorgji Madjarov, Lukasz Krych

Abstract read
In one paragraph

Article in Human genomics, 2024. 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

5 authors.

Anne Kristine SchackgMendel ApS, Fruebjergvej 3, 2100, Copenhagen, Denmark. anne_k_schack@live.dk.
M Carmen Garrido-NavasCONGEN, Genetic Counselling Services, C/Albahaca 4, Granada, Spain.
David GalevskiFaculty of Computer Science and Engineering, University Ss Cyril and Methodius, Skopje, North Macedonia.
Gjorgji MadjarovFaculty of Computer Science and Engineering, University Ss Cyril and Methodius, Skopje, North Macedonia.
Lukasz KrychFood Microbiology and Fermentation, University of Copenhagen, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In developed countries, Newborn Screening (NBS) programs aim to detect treatable yet clinically silent disorders. The selection of disorders to be included in NBS considers severity, treatment availability, prevalence, and analysis cost. However, numerous genetic disorders remain excluded from routine testing due to high expenses and specialized equipment requirements. Here we present SCAN, a novel, non-invasive, and cost-effective decision-support tool utilizing nanopore sequencing for estimating proportions of chromosomes responsible for the most common aneuploidies. SCAN combines DNA enrichment (amplification), barcoding, nanopore sequencing, and machine learning predictive modeling. In a proof-of-concept study for Klinefelter Syndrome, SCAN achieved 100% sensitivity, specificity, and accuracy, becoming the world's first IVD-certified genetic test utilising nanopore sequencing. Further model training shows promise in expanding this assay to detect other chromosomal aneuploidies included in the protocol.

Indexed as

AneuploidyCost-Benefit AnalysisGenetic TestingHumansInfant, NewbornKlinefelter SyndromeMachine LearningMass ScreeningNanoporesNanopore SequencingNeonatal Screening

Identifiers

PMID39578906
PMCPMC11583562

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Registered trials

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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.