Evidence map›Paper›PMID 42400436›Full record

ArticleEpilepsia2026

Diagnostic yield and copy number variants findings in 219 adult patients with developmental and epileptic encephalopathy.

Laura Licchetta, Giulia Bruschi, Tania Giangregorio, Carlotta Stipa, Elisa Mannini, Raffaella Minardi, Barbara Mostacci, Valentina Tontini, Tommaso Pippucci, Francesca Bisulli and 1 more

Abstract read
In one paragraph

Article in Epilepsia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Laura LicchettaIRCCS Istituto Delle Scienze Neurologiche di Bologna, full member of European Reference Network EpiCARE, Bologna, Italy.ORCID https://orcid.org/0000-0001-7979-9895
Giulia BruschiDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Tania GiangregorioMedical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.ORCID https://orcid.org/0000-0002-6363-8488
Carlotta StipaIRCCS Istituto Delle Scienze Neurologiche di Bologna, full member of European Reference Network EpiCARE, Bologna, Italy.ORCID https://orcid.org/0000-0001-7628-3711
Elisa ManniniDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.ORCID https://orcid.org/0009-0004-5158-6475
Raffaella MinardiIRCCS Istituto Delle Scienze Neurologiche di Bologna, full member of European Reference Network EpiCARE, Bologna, Italy.ORCID https://orcid.org/0000-0002-8190-8517
Barbara MostacciIRCCS Istituto Delle Scienze Neurologiche di Bologna, full member of European Reference Network EpiCARE, Bologna, Italy.ORCID https://orcid.org/0000-0002-6994-0821
Valentina TontiniIRCCS Istituto Delle Scienze Neurologiche di Bologna, full member of European Reference Network EpiCARE, Bologna, Italy.
Tommaso PippucciMedical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.ORCID https://orcid.org/0000-0001-7737-7963
Francesca BisulliIRCCS Istituto Delle Scienze Neurologiche di Bologna, full member of European Reference Network EpiCARE, Bologna, Italy.ORCID https://orcid.org/0000-0002-1109-7296
Pamela MaginiMedical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.ORCID https://orcid.org/0000-0002-1752-9977

Funding

Ministero della Salute
6 · The paper itself

Abstract

In a clinical setting, exome sequencing (ES) with copy number variant (CNV) analysis is currently the most effective approach for developmental and epileptic encephalopathies (DEE). However, trio-based ES is often not feasible in adults, its costs remain prohibitive in certain health care settings, and computational tools for CNV calling still lack sufficient accuracy. Chromosomal microarray (CMA) is indicated as a first-tier test for CNV detection in patients with DEE, dysmorphisms, and comorbidities. We investigate the role of CNVs in the etiology of DEE in an adult cohort, to define the most appropriate diagnostic approach in this population. A total of 219 patients (male/female: 104/115) with undiagnosed DEE underwent array-based comparative genomic hybridization/single nucleotide polymorphism arrays as adults. Causative CNVs were identified in 18 patients (8.2%); 14 were deletions (mean size ≈ 2.96 Mb), and four were duplications/triplications (mean size ≈ 3.63 Mb). Thirteen were responsible for known deletion/microduplication syndromes, and four were deletions involving haploinsufficient genes associated with epilepsy/neurodevelopmental disorders. For one deletion, population evidence, reports with overlapping deletions, and clinical databases support a likely pathogenic role. The mean age at CMA diagnosis was 32.4 ± 13 years. An additional 46 patients (21%) then received a molecular diagnosis through alternative approaches. Despite a diagnostic delay of 24.2 ± 14.5 years, CMA enabled a genetic diagnosis in 8.2% of our adult DEE patients, especially in those with dysmorphisms. The diagnostic yield rises to 10.4% when excluding patients diagnosed using other methods. A total of 66.7% of solved cases had direct implications from the diagnosis, supporting the clinical utility of CNV analysis inclusion in the diagnostic workflow for adult patients with DEE.

Indexed as

DNA Copy Number VariationsEpilepsyAdolescentAdultComparative Genomic HybridizationExome SequencingFemaleHumansMaleMiddle AgedPolymorphism, Single NucleotideYoung Adultadultsarray CGHdevelopmental and epileptic encephalopathiesmicroarraySNP array

Identifiers

PMID42400436
PMCPMC13592487

What OpenQuestion holds

Textmetadata
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.