Genetic and epigenetic study of ALS-discordant identical twins with double mutations in<i>SOD1</i>and<i>ARHGEF28</i>
Bibliographic record
Abstract
Amyotrophic lateral sclerosis (ALS) is characterised by a loss of motor neurons, leading to paralysis. Several autosomal dominant genes were implicated in ALS pathogenesis, such as SOD1 , with over 180 reported mutations (http://alsod.iop.kcl.ac.uk/), including a p.T137A substitution.1 ,2 Recently, ARHGEF28 , encoding an RNA binding protein involved in the aggregation of light neurofilaments in ALS, was suggested as a novel ALS gene (a heterozygous K280M>fs40X mutation was detected in three patients).3 ,4 Risk of ALS may be modulated by environmental factors, sex and ageing, which could be linked to epigenetic events (eg, DNA methylation). Monozygotic (MZ) twins provide the best opportunity to investigate environmental/epigenetic factors in disease development.5 Hence, we studied ALS-discordant MZ twins, including the evaluation of DNA methylation (DNAm) age, which is an accurate predictor of chronological age across different tissues.6 It is possible that DNAm age better reflects biological age than chronological age does, since age acceleration (DNAm age minus chronological age) was associated with several disorders and mortality. Participants were recruited from the ALS Clinic at the Sunnybrook Health Sciences Centre. Genetic and epigenetic analyses were conducted as described in the online supplementary methods, including mutation analysis of SOD1 and C9orf72 , NeuroX array, reverse transcription PCR (RT-PCR), whole genome DNA methylation array (HumanMethylation450 BeadChip) and bisulfite pyrosequencing. ### Supplementary data [jnnp-2016-313592supp.pdf] The MZ twins from a Canadian PED24 family of Italian origin were 52 years old at last examination and ALS-discordant for 17 years, with the second-born twin (9377) diagnosed with ALS at 35 years (figure 1 …
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".