Evidence map›Paper›PMID 41204993›Full record

ReviewJournal of neurology2025

Past, present, and future of genomic technologies in cerebellar ataxias.

Marie Lucain, Yannis Duffourd, Marlene Malbos, Antonio Vitobello, Christel Thauvin-Robinet, Quentin Thomas

Abstract readReview
In one paragraph

Review in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marie LucainService de Génétique CliniqueCentre de Référence Maladies Rares Neurogénétiques, Inserm, CTMUMR 1231, Équipe GAD, Université Bourgogne Europe, CHU Dijon Bourgogne, FHU-TRANSLAD, 21000, Dijon, France.
Yannis DuffourdService de Génétique CliniqueCentre de Référence Maladies Rares Neurogénétiques, Inserm, CTMUMR 1231, Équipe GAD, Université Bourgogne Europe, CHU Dijon Bourgogne, FHU-TRANSLAD, 21000, Dijon, France.
Marlene MalbosService de Génétique CliniqueCentre de Référence Maladies Rares Neurogénétiques, Inserm, CTMUMR 1231, Équipe GAD, Université Bourgogne Europe, CHU Dijon Bourgogne, FHU-TRANSLAD, 21000, Dijon, France.
Antonio VitobelloService de Génétique CliniqueCentre de Référence Maladies Rares Neurogénétiques, Inserm, CTMUMR 1231, Équipe GAD, Université Bourgogne Europe, CHU Dijon Bourgogne, FHU-TRANSLAD, 21000, Dijon, France.
Christel Thauvin-RobinetService de Génétique CliniqueCentre de Référence Maladies Rares Neurogénétiques, Inserm, CTMUMR 1231, Équipe GAD, Université Bourgogne Europe, CHU Dijon Bourgogne, FHU-TRANSLAD, 21000, Dijon, France.
Quentin ThomasService de Génétique CliniqueCentre de Référence Maladies Rares Neurogénétiques, Inserm, CTMUMR 1231, Équipe GAD, Université Bourgogne Europe, CHU Dijon Bourgogne, FHU-TRANSLAD, 21000, Dijon, France. quentin.thomas@chu-dijon.fr.ORCID http://orcid.org/0000-0003-1185-1663

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inherited cerebellar ataxias (ICA) are a group of rare, genetically and clinically heterogeneous neurodegenerative disorders, often caused by a broad spectrum of genetic variants, including single nucleotide variants, structural variations, and especially short tandem repeat (STR) expansions. Over time, advances in genomic technologies have profoundly reshaped the diagnostic approach and scientific understanding of ICA. This review traces the evolution of genomic tools, from first-generation methods, such as Sanger sequencing and southern blot, through the revolution brought by short-read second-generation sequencing, including gene panels, exome sequencing (ES), and genome sequencing (GS). These technologies significantly increased diagnostic yield and enabled the discovery of numerous ICA genes, although short-read sequencing remained limited in its ability to detect STR expansions and structural variants accurately. Recently, third-generation long-read sequencing (LRS) technologies, such as Single Molecule Real Time (SMRT) and nanopore sequencing, have emerged, offering reliable detection of all classes of variants, including complex and previously undetectable STR expansions. Optical genome mapping is also highlighted as a powerful, non-sequencing alternative for detecting large SVs and STRs. The manuscript underscores the reciprocal relationship between technological advances and medical knowledge in ICA. With LRS and integrated multi-omics approaches, the field stands at the cusp of a new era in diagnostics, enabling comprehensive variant detection and deeper insights into ICA pathophysiology. However, challenges related to cost, data interpretation, and population biases in reference databases remain.

Indexed as

Cerebellar AtaxiaGenomicsHigh-Throughput Nucleotide SequencingHumansCerebellar ataxiaDiagnosisGeneticsHistoryLong-read sequencingNext generation sequencing

Identifiers

PMID41204993
PMCPMC12598688

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.