The impact of rare variants on polygenic risk and transcriptomic dysregulation in amyotrophic lateral sclerosis
Notice bibliographique
Résumé
Amyotrophic lateral sclerosis (ALS) is a rapidly progressive neurodegenerative disease, currently without treatment options or effective long-term clinical interventions.Beginning with symptoms of muscle weakness and spasticity, the disease can progress to near total loss of innervation to muscles and ultimately to paralysis and loss of life.ALS is a rare disease, in that approximately 3 in 100,000 individuals will be diagnosed per year.However, the lifetime risk to for an individual to develop ALS is 1/300, suggesting a substantial impact at the individual, healthcare, and societal levels.Historically, the study of ALS genetics has focused on monogenic, inherited variants.However, because age of symptom onset in ALS is variable, and because some variants do not result in disease in all carriers, it has been hypothesized that additional factors are required.Oligogenic and polygenic inheritance are schema of separate, concurrently inherited genetic variants to cause disease; one variant might not be sufficient, but the combined effects of two or more variants in an individual could result in a phenotype.While these inheritance patterns have been suggested for ALS, evidence for their necessity is not conclusive. Many of the genetic variants observed in genes related to ALS impact RNA regulation pathways.Gene expression can be impacted directly through allele-specific transcription, or indirectly through downstream effects of variant-containing RNA.One way that RNA is regulated in a cell is through the addition of chemical modifications to the nucleotides following transcription.The most common post-transcriptional modification is N6-methyladenosine (m 6 A), which can affect RNA turnover, splicing, localization, and binding of regulatory proteins to target RNA.The proportion of RNA containing an m 6 A modification has substantial downstream effects on the Contribution to Original KnowledgeThis thesis contains the following novel contributions to scientific knowledge: Chapter 2 is a survey of rare variants in the Québec ALS and control populations, stratified by C9orf72 expansion carrier status.Several novel variants are described that may be unique to the French-Canadian or French cohorts.The main finding of this short manuscript is that variants secondary to the C9orf72 expansion are predicted to be less severe than variants in unaffected controls or in ALS cases without the expansion.This study provides evidence that oligogenic inheritance in ALS is rare, and likely due to variant frequency rather than necessity to explain genetic risk.Chapter 3 is a survey of rare variants across a larger and non-ascertained French-Canadian ALS case-control cohort, with the addition of common variant genotyping to assess polygenic contribution to disease risk.Because these samples were not part of the GWAS from which the summary statistics were created, it was possible to generate polygenic risk scores without statistical bias and overfitting.We found that polygenic risk was highest in ALS cases without a variant in ALS-associated genes, which both better defined the utility of polygenic risk scores in ALS as well as confirmed that rare variants are likely sufficient for disease risk.Chapter 4 is the first examination of the m 6 A epitranscriptome in the context of C9orf72 hexanucleotide expansion.Our use of post-mortem case and control cerebellums, as well as patient and control-derived stem cell differentiated motor neurons and astrocytes was able to show that
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».