Evidence map›Paper›PMID 25862482›Full record

ReviewJournal of neurology2015

Genetic landscape remodelling in spinocerebellar ataxias: the influence of next-generation sequencing.

Marie Coutelier, Giovanni Stevanin, Alexis Brice

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of neurology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 20% of its field
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

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Spinocerebellar ataxia: an update.Journal of neurology · 2019
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
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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

3 authors at 3 institutions in 1 country.

Marie CoutelierINSERM, U 1127, 75013, Paris, France. marie.coutelier@icm-institute.org.
Giovanni StevaninINSERM, U 1127, 75013, Paris, France.
Alexis BriceINSERM, U 1127, 75013, Paris, France. alexis.brice@upmc.fr.
Centre National de la Recherche Scientifique · FRInserm · FRSorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hereditary cerebellar ataxias (HCAs) are clinically and genetically heterogeneous neurodegenerative disorders, characterised by a cerebellar syndrome and other neurological or non-neurological signs. So far, more than 20 genes have been described in autosomal dominant HCA; in autosomal recessive HCA, even more genes are involved, in often more complex phenotypes. Because of that complexity, the genetic diagnosis of these diseases is often based on the next-generation sequencing techniques. In this review paper, we discuss the major contributions that they have made to the genetic landscape of HCAs. Numerous novel genes have been identified; still more have recently been implicated in HCAs in addition to being responsible for other diseases. The phenotypic spectrum associated with a single gene constantly gains in complexity. Novel types of mutations or transmissions in known genes are regularly being identified. All these factors make genotype-phenotype correlations particularly difficult. Some but not all of this variability can be explained by different pathophysiological consequences (loss of function, gain of function, variable levels of haploinsufficiency). This also raises the question of modifier genes. Finally, we highlight some functional pathways that increasingly appear important in HCAs.

Indexed as

Genetic Association StudiesSequence Analysis, DNAHumansSpinocerebellar AtaxiasGenotype-phenotype delineationNext generation sequencingNovel genesPathwaysSpinocerebellar ataxia

Identifiers

PMID25862482
OpenAlexW2073958518

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.