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Interpret a single GWAS SNP across multiple databases — GWAS Catalog hits, LD/haplotype context, eQTL evidence, regulatory annotation, ClinVar pathogenicity, gnomAD frequency.
Passed 13 of 18 test cases with the skill, and 12 of 18 without it.
3 fixed13 passed either way4 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
What parameter limits the maximum number of association records retrieved during a GWAS SNP query to prevent response overflow?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies max_associations as 100. | Missed | Passed |
The instructions your model reads when the skill loads.
SNP interpretation: a GWAS hit is a REGION, not a single causal variant. The lead SNP may not be causal — it may be in LD with the causal variant. Always check LD structure and functional annotation before concluding a specific SNP is mechanistically responsible. Use LDlink_get_proxies(variant="rs...", population="EUR") to retrieve the high-R² LD proxies (needs a free LDLINK_TOKEN) — a proxy in a coding/regulatory region is a better mechanistic candidate than the lead SNP itself. Fine-mapping (SuSiE, FINEMAP credible sets) narrows the causal set but rarely identifies a single variant with certainty. L2G scores integrate eQTL, chromatin interaction, and distance data to predict the causal gene — a lead SNP mapping to gene A may actually regulate gene B 500 kb away via a distal enhancer.
LOOK UP DON'T GUESS: never assume a SNP's functional consequence, mapped gene, or population frequency — always call gwas_get_snp_by_id and OpenTargets_get_variant_info to retrieve current annotations.
Interpret genetic variants (SNPs) from GWAS studies by aggregating evidence from multiple sources to provide comprehensive clinical and biological context.
Use Cases:
The skill provides a comprehensive interpretation of SNPs by:
User Input: rs7903146
↓
[1] SNP Lookup
→ Get location, consequence, MAF
→ gwas_get_snp_by_id
↓
[2] Association Search
→ Find all trait/disease associations
→ gwas_get_associations_for_snp
↓
[3] Fine-Mapping (Optional)
test cases passed, vs 12 / 18 without
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