Evidence map›Paper›PMID 39066921›Full record

ArticleCellular and molecular life sciences : CMLS2024

Increased copy-number variant load of associated risk genes in sporadic cases of amyotrophic lateral sclerosis.

Maria Guarnaccia, Giovanna Morello, Valentina La Cognata, Vincenzo La Bella, Francesca Luisa Conforti, Sebastiano Cavallaro

Abstract read
In one paragraph

Article in Cellular and molecular life sciences : CMLS, 2024. 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

6 authors.

Maria GuarnacciaInstitute for Biomedical Research and Innovation, National Research Council, P. Gaifami 18, Catania, 95126, Italy.
Giovanna MorelloInstitute for Biomedical Research and Innovation, National Research Council, P. Gaifami 18, Catania, 95126, Italy.
Valentina La CognataInstitute for Biomedical Research and Innovation, National Research Council, P. Gaifami 18, Catania, 95126, Italy.
Vincenzo La BellaDepartment of Experimental Biomedicine and Advanced Diagnostics, ALS Clinical Research Center, Laboratory of Neurochemistry, University of Palermo, Palermo, Italy.
Francesca Luisa ConfortiDepartment of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036, Rende, Italy.
Sebastiano CavallaroInstitute for Biomedical Research and Innovation, National Research Council, P. Gaifami 18, Catania, 95126, Italy. sebastiano.cavallaro@cnr.it.ORCID http://orcid.org/0000-0002-3745-9953

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is an age-related neurodegenerative disease characterized by selective loss of motor neurons in the brainstem and spinal cord. Several genetic factors have been associated to ALS, ranging from causal genes and potential risk factors to disease modifiers. The search for pathogenic variants in these genes has mostly focused on single nucleotide variants (SNVs) while relatively understudied and not fully elucidated is the contribution of structural variants, such as copy number variations (CNVs). Here, we applied an exon-centric aCGH method to investigate, in sporadic ALS patients, the load of CNVs in 131 genes previously associated to ALS. Our approach revealed that CNV load, defined as the total number of CNVs or their size, was significantly higher in ALS cases than controls. About 87% of patients harbored multiple CNVs in ALS-related genes, and 75% structural variants compromised genes directly implicated in ALS pathogenesis (C9orf72, CHCHD10, EPHA4, FUS, HNRNPA1, KIF5A, NEK1, OPTN, PFN1, SOD1, TARDBP, TBK1, UBQLN2, UNC13A, VAPB, VCP). CNV load was also associated to higher onset age and disease progression rate. Although the contribution of individual CNVs in ALS is still unknown, their extensive load in disease-related genes may have relevant implications for the diagnostic, prognostic and therapeutical management of this devastating disorder.

Indexed as

Amyotrophic Lateral SclerosisDNA Copy Number VariationsGenetic Predisposition to DiseaseAdultAgedCase-Control StudiesFemaleHumansMaleMiddle AgedPolymorphism, Single NucleotideRisk FactorsAmyotrophic lateral sclerosisCNVs loadCopy number variantCustomized aCGHDiagnostics

Identifiers

PMID39066921
PMCPMC11335238

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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.