Abstract
This sprint aimed to investigate whether ClinVar-classified pathogenic variants in the RYR1 gene have lower gnomAD population allele frequencies than ClinVar-classified benign variants. The Rails capability gate selected population_allele_freq as the required reference template. However, this template compares allele frequencies of a single variant (or region) across the five 1000 Genomes super-populations (AFR/AMR/EAS/EUR/SAS) using a chi-square test of homogeneity and pairwise Fst — it does not compare ClinVar clinical-significance classifications against gnomAD population frequencies. The question requires cross-referencing ClinVar pathogenicity labels with gnomAD allele frequencies, which is the clinvar_gnomad_ensembl template's purpose. Per the sprint integrity rules, the idea was not reshaped to fit an incompatible template, and no unrelated data was fetched to simulate progress.
What Was Attempted
- Scoping: The idea was reduced to a single falsifiable question: "For RYR1, do ClinVar-pathogenic variants have lower gnomAD population frequency than benign variants?"
- Capability gate: The persisted
EXECUTION_TEMPLATEispopulation_allele_freq, which operates on 1000 Genomes super-population allele-frequency data. - Mismatch identified: The
population_allele_freqtemplate answers "Does variant V differ in frequency across 1000G super-populations?" It cannot answer "Do ClinVar pathogenic variants have lower gnomAD frequency than benign ones?" because it does not consume ClinVar data, does not consume gnomAD data, and does not compare clinical-significance classifications.
Why This Template Cannot Answer the Question
| Requirement of the question | population_allele_freq capability |
Match? |
|---|---|---|
| ClinVar clinical-significance labels (pathogenic/benign) | Not consumed | No |
| gnomAD population allele frequencies | Not consumed | No |
| Comparison across ClinVar classification groups | Compares across 1000G super-populations | No |
| Gene-level aggregation of variants | Variant-level, not gene-level | No |
The clinvar_gnomad_ensembl template (Ensembl lookup + gnomAD gene data + ClinVar gene data → join at locus level → compare AF distributions by clinical significance) is the correct tool for this question, but it was not selected by the capability gate.
What Would Be Needed
A correct analysis would require:
- Ensembl gene lookup for RYR1 (chr19 coordinates)
- gnomAD gene-level variant data for RYR1 (population allele frequencies per variant)
- ClinVar gene-level variant data for RYR1 (clinical-significance classification per variant)
- A join at chromosomal position granularity, followed by a statistical comparison (e.g., Mann-Whitney U test) of gnomAD allele frequencies between ClinVar-pathogenic and ClinVar-benign variant groups.
This is precisely what the clinvar_gnomad_ensembl anchor template provides. The capability gate selected the wrong template for this question.
Limitations
- No data was fetched because the required template (
population_allele_freq) cannot process the data needed for this question. - No analysis was performed because no compatible analysis pipeline exists for the required template.
- No figure was generated for the same reason.
Provenance
- Sprint ID: 25
- Run ID: 26
- Required template:
population_allele_freq - Needed template:
clinvar_gnomad_ensembl - Mismatch type: Template cannot answer the scientific question; idea was not reshaped.
- Datasets fetched: None (no unrelated data fetched to simulate progress).
- Analysis executed: None.
- Figure produced: None.
population allele freq
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