Comprehensive Research Synopsis and Systematic Meta-Analyses in ALS Genetics: The ALSGene Database (P01.095)
Bibliographic record
Abstract
Objective: To facilitate interpretation of genetic association findings in amyotrophic lateral sclerosis (ALS) by creating a freely publicly available database aimed to serve as a comprehensive, unbiased, and regularly updated resource of genetic association studies in the field. Background ALS is a genetically complex and heterogeneous disorder. To date, mutations in several genes have been identified to cause familial forms of ALS. On the other hand, ALS without obvious familial aggregation is likely governed by a variety of genetic and non-genetic risk factors. In the past two decades, hundreds of reports, including several genome-wide association studies (GWAS), have been published claiming or refuting genetic association between certain genetic variants and susceptibility for ALS. Design/Methods: Using methodology developed earlier by our group (e.g. Bertram [2007] Nat Genet 39(1):17-23), database curation is currently ongoing and entails identifying and annotating published genetic association studies following systematic searches of scientific literature databases. Extracted data includes characteristics of the investigated populations as well as variant-specific results and genotyping details. In addition, we are in the process of including the results of several published GWAS derived from both observed and imputed genotype data. Up-to-date meta-analyses are presented for polymorphisms with data available in at least four independent case-control samples. Additional features of ALSGene will include the possibility to create custom meta-analyses (e.g. using existing or novel data), and an "ALSGene-Wiki" section (linking information on the potential molecular genetic and functional role of associated polymorphisms). Results: All data and results in ALSGene are freely available at www.alsgene.org. At the meeting, we will provide a detailed summary of the current "Top Results" including their potential relevance to ALS pathogenesis. Conclusions: Our systematic approach not only provides the most comprehensive account of non-Mendelian ALS genetics, but will also help prioritize future fine-mapping and functional genetic experiments.
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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 | 0.016 | 0.051 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.022 | 0.032 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.045 | 0.006 |
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".