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Record W7047897325

The impact of rare variants on polygenic risk and transcriptomic dysregulation in amyotrophic lateral sclerosis

2023· dissertation· en· W7047897325 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2023
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchFondation Brain Canada
KeywordsAmyotrophic lateral sclerosisTranscriptomePolygenic risk scoreDiseaseGenome-wide association studyMutation
DOInot available

Abstract

fetched live from OpenAlex

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

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 score0.003
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.258
Teacher spread0.242 · 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
Published2023
Admission routes1
Has abstractyes

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