Evidence map›Paper›PMID 41957096›Full record

ArticleScientific reports2026

Dissecting genetic variant contributions to neurodegenerative disorders through targeted gene sequencing in a Sicilian population.

Simone Treccarichi, Carla Papa, Mirella Vinci, Filomena Irene Ilaria Cosentino, Guido Scalia, Giovanni Mostile, Mario Zappia, Alessandra Nicoletti, Manuela Pennisi, Antonino Musumeci and 11 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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. Review
  2. Review
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

21 authors.

Simone Treccarichi *Oasi Research Institute-IRCCS, Troina, 94018, Italy.
Carla Papa *Oasi Research Institute-IRCCS, Troina, 94018, Italy.
Mirella VinciOasi Research Institute-IRCCS, Troina, 94018, Italy.
Filomena Irene Ilaria CosentinoOasi Research Institute-IRCCS, Troina, 94018, Italy.
Guido ScaliaLaboratorio Analisi P.O. G. Rodolico-AOU Policlinico "G. Rodolico-S. Marco", Dept Biometec, University of Catania, Catania, Italy.
Giovanni MostileOasi Research Institute-IRCCS, Troina, 94018, Italy.
Mario ZappiaDipartimento G.F. Ingrassia Clinica Neurologica Catania, University of Catania, Catania, Italy.
Alessandra NicolettiDipartimento G.F. Ingrassia Clinica Neurologica Catania, University of Catania, Catania, Italy.
Manuela PennisiDepartment of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.
Antonino MusumeciOasi Research Institute-IRCCS, Troina, 94018, Italy.
Valeria ChiavettaOasi Research Institute-IRCCS, Troina, 94018, Italy.
Vincenzo Di StefanoDepartment of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, 90129, Italy.
Tommaso PiccoliCognitive and Memory Disorders Clinic, Department of Biomedicine, Neurosciences, and Advanced Diagnostics (Bi.N.D.), AOUP "Paolo Giaccone" University Teaching Hospital, University of Palermo, Palermo, Italy.
Valeria BlandinoCognitive and Memory Disorders Clinic, Department of Biomedicine, Neurosciences, and Advanced Diagnostics (Bi.N.D.), AOUP "Paolo Giaccone" University Teaching Hospital, University of Palermo, Palermo, Italy.
Mariangela TripodiOasi Research Institute-IRCCS, Troina, 94018, Italy.
Bartolo LanuzzaOasi Research Institute-IRCCS, Troina, 94018, Italy.
Manuela MorrealeOasi Research Institute-IRCCS, Troina, 94018, Italy.
Chiara CupidiUO Neurologia, Fondazione Istituto G. Giglio Contrada Pietrapollastra, Cefalù, 90015, PA, Italy.
Raffaele FerriOasi Research Institute-IRCCS, Troina, 94018, Italy.
Giuseppe LanzaOasi Research Institute-IRCCS, Troina, 94018, Italy. giuseppe.lanza1@unict.it.
Francesco CaliOasi Research Institute-IRCCS, Troina, 94018, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the technological advancements in modern genetic diagnosis, customized genetic panels are still frequently employed for diagnostic purposes due to their rapid, efficient, and cost-effective ability to detect genetic variants. In this study, we utilized a customized genetic panel designed to identify genetic variants associated with neurodegenerative disorders. The panel consisted of 61 genes and was applied to a cohort of 186 unrelated individuals diagnosed with different degenerative cognitive and movement disorders. The identified variants were filtered for a minor allele frequency of less than 1% and classified according to the American College of Medical Genetics (ACMG) guidelines. Our results showed that 20.97% of individuals carried at least one likely pathogenic or pathogenic variant, with 35% of those individuals diagnosed with Alzheimer's disease (AD). The positive diagnostic yield of the panel was 16.67%, calculated based on variant zygosity, inheritance pattern, and concordance with the clinical phenotype. Furthermore, 34.41% of the individuals carried variants of uncertain significance (VUS), and 44.62% carried benign variants. Variants have been found only in 58 genes. Among these, 24.14% showed benign variants, 48.28% had VUS, and 27.59% carried pathogenic or likely pathogenic variants. Principal component analysis analysis based on the variables "age at onset" in addition to the phenotypic scores "MMSE" (global cognitive screening test), "IADL" (instrumental activities of daily living), and "ADL" (basic activities of daily living) distributed the individuals associated with the specific disease and variant in the plot. Notably, the individuals showed AD exhibited an average age at onset of 68 ± 12.5 years and were differentiated in the plot. GBA gene exhibited the highest number of pathogenic variants (9) linked to AD, Parkinson's disease, early onset parkinsonism with epilepsy, fronto-temporal dementia, and mild cognitive impairment. The results highlighted a broad phenotypic heterogeneity associated with genes previously linked to only a limited number of neurodegenerative conditions, underscoring the value of the genetic testing performed. Translationally, although clinical exome sequencing has enabled novel gene discovery in neurodegenerative disorders, targeted genetic panels remain a cost-effective and clinically valuable approach for routine diagnostics. In this context, our study highlights the "real-world" utility and clinical impact of a focused panel-based strategy.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationNeurodegenerative DiseasesAgedAlzheimer DiseaseFemaleGene FrequencyGenetic TestingHumansMaleMiddle AgedPhenotypeSicily

Identifiers

PMID41957096
PMCPMC13199466

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