Evidence map›Paper›PMID 41282417›Full record

ArticleComputational and structural biotechnology journal2025

Validation of the NovaSeq6000 platform and automated library preparation for CE-IVD equivalence.

Elena Pasquinelli, Giulia Rollo, Flavia Tinella, Miriana Danelli, Samantha Minetto, Giulia Casamassima, Michel Bader, Laura Calonaci, Olga Lorenza Colavecchio, Rossella Tita and 10 more

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

20 authors.

Elena PasquinelliMedical Genetics, University of Siena, Siena, Italy.
Giulia RolloMedical Genetics, University of Siena, Siena, Italy.
Flavia TinellaGenetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
Miriana DanelliGenetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
Samantha MinettoMedical Genetics, University of Siena, Siena, Italy.
Giulia CasamassimaMedical Genetics, University of Siena, Siena, Italy.
Michel BaderMedical Genetics, University of Siena, Siena, Italy.
Laura CalonaciMedical Genetics, University of Siena, Siena, Italy.
Olga Lorenza ColavecchioMedical Genetics, University of Siena, Siena, Italy.
Rossella TitaGenetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
Roberta ManciniGenetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
Margherita BaldassarriMedical Genetics, University of Siena, Siena, Italy.
Caterina Lo RizzoGenetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
Anna Maria PintoGenetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
Francesca ArianiMedical Genetics, University of Siena, Siena, Italy.
Chiara FalleriniMedical Genetics, University of Siena, Siena, Italy.
Paola MontagnaIndependent Senior Consultant, Freelance Professional, Italy.
Vincenzo MezzatestaDirezione Generale, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
Mirella BruttiniMedical Genetics, University of Siena, Siena, Italy.
Alessandra RenieriMedical Genetics, University of Siena, Siena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The implementation of next-generation sequencing (NGS) technologies in clinical diagnostics requires rigorous validation of sequencing platforms and analytical workflows. In this study, we validated the performance of the Illumina NovaSeq6000 Research Use Only (RUO) platform, combined with automated library preparation using the Hamilton Microlab STAR system, by comparison to the CE-IVD certified NovaSeq6000Dx platform, which currently relies on manual library preparation. A total of 96 clinical samples underwent whole-exome sequencing (WES) on both platforms. Variant detection performance was assessed for single nucleotide variants (SNVs) and copy number variants (CNVs). The RUO platform demonstrated 100 % concordance with the CE-IVD system for clinically relevant SNVs, with full agreement across positive, negative, and overall percent agreement metrics. For CNVs larger than 150 kb, the positive percent agreement was 79 %, rising to 91.7 % for CNVs > 900 kb. Coverage uniformity and autosomal callability were consistently high across platforms. These results confirm the analytical equivalence of the NovaSeq6000 RUO configuration with automated library preparation for clinical-grade WES. This validation framework supports the adoption of scalable, cost-effective workflows that can achieve diagnostic performance comparable to CE-IVD certified systems and may facilitate routine implementation of exome sequencing in clinical laboratories.

Indexed as

Next-generation sequencingNovaSeq6000NovaSeq6000DxWhole-exome sequencing

Identifiers

PMID41282417
PMCPMC12639258

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.