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Record W7161837421 · doi:10.82308/11989

Genetic analysis of amyotrophic lateral sclerosis and other motor neuron disorders

2009· dissertation· en· W7161837421 on OpenAlexaboutno aff
Paul Nils. Valdmanis

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsnot available
Fundersnot available
KeywordsAmyotrophic lateral sclerosisMotor neuronHereditary spastic paraplegiaTARDBPRiluzoleDiseaseC9orf72SOD1Genetic analysis

Abstract

fetched live from OpenAlex

Amyotrophic lateral sclerosis (ALS) is a devastating motor neuron disease which results from the degeneration of upper and lower motor neurons in the brainstem, spinal cord and motor cortex. Tragically there is no treatment to prevent ALS. The drug Riluzole acts to delay progression, but only by a month or so in this disease that has a survival length of three to five years. The identification of genes that are mutated in patients with ALS would help devise novel therapeutic strategies as much remains to be discovered about the genetics of ALS. Familial forms of the disease account for only 5-10% of patients. Among these familial cases, about 15-20% are caused by mutations in the zinc/copper superoxide dismutase gene, but the genetic basis of the remaining familial cases and the many sporadic cases continues to be largely unknown. Altogether, the results presented in this thesis came from the use of several strategies to establish the genetic cause of ALS and the related motor neuron disorders like hereditary spastic paraplegia (HSP) and primary lateral sclerosis (PLS). A concerted and collaborative effort was put forth to identify the gene causative for ALS3 on chromosome 18. In addition, a recently reported locus has been confirmed on chromosome 9p for patients that present both ALS and frontotemporal dementia. The major finding involves the discovery of eight mutations in the TARDBP gene in nine patients with sporadic and familial ALS. Furthermore, a large association study evaluated the role of common polymorphisms in the paraoxonase gene cluster in susceptibility to the development of ALS. In the analysis of upper motor neuron diseases, mutations in a novel gene, KIAA0196, were identified for the HSP locus SPG8 on chromosome 8. Finally, the first locus for PLS was discovered on the p-arm of chromosome 4 following genome scan analysis of a large Quebec family with PLS. These genetic discoveries all contributed novel advances to the field of motor neuron disorders. As more is elucidated regarding the biochemical function of these the proteins encoded by these genes, a more comprehensive picture of ALS and other motor neuron disorders will hopefully emerge.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.289
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

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