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Record W2605459329 · doi:10.71781/28552

Utilisation du séquençage à haut débit dans l’identification des gènes prédisposant à l’épilepsie et aux syndromes neurocutanés

2016· dissertation· fr· W2605459329 on OpenAlexaboutno aff
Maxime Cadieux‐Dion

Bibliographic record

VenueOpen MIND · 2016
Typedissertation
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Epilepsy is a common neurological disorder affecting 1-3 % of the population. It is characterized by transitory neurological symptoms caused by excessive or synchronized abnormal neuronal activity—a seizure. Many factors can contribute to the etiology of epilepsy. It can be caused by genetic factors, morphological abnormalities, altered levels of biochemical molecules, excessive immune response in the brain, or by infections. Importantly, these factors are not mutually exclusive and can be caused by genetic aberrations. Thus, epilepsy associated with genetic mutations can be part of a complex symptomatology including several monogenic disorders such as progressive myoclonus epilepsies and neurocutaneous syndromes. The first objective of this thesis is to use modern sequencing methods in order to identify genetic causes of rare forms of epilepsies and neurocutaneous syndrome. Firstly, we studied Kufs disease, an adult form of neuronal ceroid lipofuscinosis, part of the progressive myoclonus epilepsies. The study of two American families and one sporadic case led us to identify two causative mutations (p.L116del, p.L115R) in the gene DNAJC5. Other families with this rare but fatal syndrome were reported with mutations in that gene, corroborating our findings. The gene DNAJC5 encodes for the cysteine string protein alpha (CSPα), a presynaptic protein involved in neurodegeneration. Secondly, using the same methods, we discovered the causative mutation for the Giroux-Barbeau syndrome, a neurocutaneous syndrome characterized by spinocerebellar ataxia and erythrokeratodermia variabilis. Thus, following the study of a large French Canadian family, we found the p.L168F mutation in the gene ELOVL4. This gene encodes an enzyme involved in the metabolism of very long chain fatty acid. These fatty acids participate in a wide variety of physiological functions, including skin barrier formation and peroxisome β-oxidation. The second objective of this work is to use whole exome sequencing in the context of molecular diagnostics. To achieve that, we studied a large family presenting skin lesions at the extremities following exposure to cold. Initially diagnosed as a primary form of cryofibrinogenemia, our work showed that these patients were affected with an atypical form of chilblain lupus. In turn, the phenotypical resemblance as well as the presence of the p.D18N mutation in the gene TREX1 led to that new diagnosis. This study shows the role of whole exome sequencing in the diagnosis of rare disease and widen the phenotypic spectrum associated with TREX1 mutations. The last objective of this research is to apply whole exome sequencing in the discovery of genetic mechanisms predisposing to genetic generalized epilepsy (GGE). For this study, we recruited 7 large families with GGE. We showed that variants found in the genes GLI2, MBD5, CELSR2, CELSR3, TNIK and CACNA1G could participate in the genetic etiology in our families. However, because of the numbers of variants identified, other factors could contribute to the epileptic phenotype in our families. Other large scale studies are necessary in order to validate the implication of those genes in epilepsy.

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)0.001
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.032
GPT teacher head0.312
Teacher spread0.280 · 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
Published2016
Admission routes1
Has abstractyes

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