Solving Challenging Diagnoses Through Ultra-long Read Sequencing
NCT ID: NCT06775613
Last Updated: 2026-01-09
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
NA
15 participants
INTERVENTIONAL
2023-03-10
2025-12-31
Brief Summary
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Detailed Description
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1. Patients with an established molecular diagnosis will be collected for each of the following disorders: 10 with autosomal dominant polycystic kidney disease (ADPKD) and 10 with CYP21 deficiency. Cases with ambiguous results to test possible ONT improvements in terms of time to results and precise molecular characterization will be included. The entire range of mutations affecting each causative gene (PKD1 and CYP21A2, respectively), which globally cover all the possible types of alterations (missense, nonsense, indels, exonic and gene deletions) will be included.
2. Collection of other 10 patients carrying copy number variants (CNVs) with aCGH-defined breakpoints mapping close to disease-genes possibly responsible for the observed clinical picture.
The main aim of this proposal is to evaluate ONT efficacy in resolving diagnostic challenges faced in the clinical genomics routine, in situations when a precise molecular diagnosis is often impossible or difficult and extremely time-consuming with current genetic tests. Sanger sequencing, NGS panels and MLPA are routinely used to identify pathogenic variants and CNVs responsible for many monogenic disorders and for the analysis through aCGH patients with isolated or syndromic intellectual disability without a specific clinical suspect. These analyses are long, technically laborious and often not individually conclusive because technical limitations may lead to ambiguous results and prevent definite diagnosis. The intent is to demonstrate that ONT, through a real-time targeted approach to increase coverage in clinically relevant regions during sequencing, outperforms current diagnostic tools in terms of rapidity and sensitivity, considerably improving the efficiency of the diagnostic process. The success of the proposed target ONT approach will provide the proof of principle to implement this strategy for the diagnosis of a wider spectrum of disorders already studied in our laboratory
Conditions
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Study Design
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NON_RANDOMIZED
PARALLEL
DIAGNOSTIC
NONE
Study Groups
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Target
Sequencing in samples with alterations in the PKD1 or CYP21A2 genes or with deletions identified by aCGH, LRS will be limited to the genes/loci of of interest.
Long-read sequencing
The technology performed belongs to third-generation sequencing strategies and is capable of analysing very long DNA and RNA fragments.
Genomics
The entire genome will be analysed in samples with duplications in order to precisely identify the genomic regions in which the duplicated portions have inserted
Long-read sequencing
The technology performed belongs to third-generation sequencing strategies and is capable of analysing very long DNA and RNA fragments.
Interventions
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Long-read sequencing
The technology performed belongs to third-generation sequencing strategies and is capable of analysing very long DNA and RNA fragments.
Eligibility Criteria
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Inclusion Criteria
* Patients with pathogenic alterations in the CYP21A2 gene or with a not clearly defined genotype, aged between one month and 50 years
* Patients carrying potentially pathogenic CNVs (e.g. new onset and/or in proximity of disease-associated genes), aged between one month up to 70 years
* Availability of a suitable blood sample at the IRCCS Medical Genetics Unit AOUBO
* Acquisition of informed consent.
Exclusion Criteria
28 Days
65 Years
ALL
No
Sponsors
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IRCCS Azienda Ospedaliero-Universitaria di Bologna
OTHER
Responsible Party
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Principal Investigators
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Pamela Magini, Biologist
Role: PRINCIPAL_INVESTIGATOR
IRCCS Azienda Ospedaliero-Universitaria di Bologna, Policlinico di Sant'Orsola
Locations
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IRCCS Azienda Ospedaliero-Universitaria di Bologna
Bologna, Bologna, Italy
Countries
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Other Identifiers
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Horizon 2020
Identifier Type: OTHER_GRANT
Identifier Source: secondary_id
SCHeDULeRS
Identifier Type: -
Identifier Source: org_study_id
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