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Record W3010500731 · doi:10.1007/s00401-020-02131-z

DNA methylation age acceleration is associated with ALS age of onset and survival

2020· article· en· W3010500731 on OpenAlexafffund
Ming Zhang, Paul M. McKeever, Zhengrui Xi, Danielle Moreno, Christine Sato, Tessa Bergsma, Philip McGoldrick, Julia Keith, Janice Robertson, Lorne Zinman, Ekaterina Rogaeva

Bibliographic record

VenueActa Neuropathologica · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsTed Rogers Centre for Heart ResearchSunnybrook Health Science CentreSunnybrook HospitalOccupational Cancer Research CentreHealth Sciences CentreCanada Research ChairsUniversity of Toronto
FundersConsortium canadien en neurodégénérescence associée au vieillissementFondation Brain CanadaALS Society of Canada
KeywordsDNA methylationMedicineAge of onsetBiologyMethylationGeneticsOncologyDNAInternal medicineGeneGene expressionDisease

Abstract

fetched live from OpenAlex

Amyotrophic lateral sclerosis (ALS) patients, includingC9orf72-carriers and identical twins [1], have highly variable disease characteristics (e.g., duration and age/site of onset) [7], suggesting the influence of epigenetic variations.DNA methylation (DNAm) is a key epigenetic modification and linked to the risk of several neurodegenerative diseases (Supplementary introduction).The cumulative assessment of DNAm levels at age-related CpGs allows the estimation of multi-tissue DNAm age (epigenetic clock), which could be more accurate for assessing biological age than chronological age.Hypermethylation of the CpG-island 5′ of the C9orf72-repeat and DNAm-age acceleration have been reported to be associated with C9orf72-disease duration and age of onset [9,10].However, epigenetic modifiers in genetically unexplained ALS patients are largely unknown.Hence, we conducted a genome-wide investigation of DNAm (Infinium MethylationEPIC chip) in samples from blood (n = 249) or tissues from the central nervous system (CNS) (n = 18) of mainly sporadic ALS patients (Table 1), and assessed the association of DNAm-age acceleration with disease age of onset and survival (Supplementary methods).Considering the reported 3-year error for estimating DNAm age, we classified the patients into three groups: normal aging (n = 82, DNAm-age acceleration between -3 and 3 years, median = 0.5 years), slow aging (n = 125, DNAm-age acceleration < -3 years, median = -6.3years), and fast aging (n = 42, DNAm-age acceleration > 3 years, median = 5.7 years).Multivariate linear regression analysis detected a highly significant association between blood-based DNAm-age acceleration and ALS age of onset (adjusted p value = 2.2E-16, B = -1.29,R 2 = 0.33, n = 249) (Supplementary methods, Fig. 1a), suggesting that for every 5-year increase in DNAm-age acceleration there is a 6.4-year earlier onset.Cox proportional hazard regression analysis revealed that a faster DNAm-age acceleration is significantly associated with an earlier age of onset [adjusted p value = 9.3E-16, hazard ratio (HR) = 2.12; 95% confidence interval (CI):1.76-2.54],suggesting that the hazard increased by 112% (Fig. 1c).The median age of onset in the fast aging group (48 years; 95%CI: 42-51) was 18 years younger than the slow aging group (66 years; 95%CI: 63-68).Significant results were not Electronic supplementary materialThe online version of this article (https ://

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 score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.040
GPT teacher head0.263
Teacher spread0.223 · 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

Citations55
Published2020
Admission routes2
Has abstractyes

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