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MARRVEL-MCP: A natural-language interface enabling LLMs to use 44 genomic tools for rare disease variant interpretation

By

Zhandong Liu2,3 Send email to [email protected]

7d ago· 2 min readenNews

Summary

Everton et al. introduce MARRVEL-MCP, a natural-language interface that allows large language models (LLMs) to access 44 genomic tools for rare disease variant interpretation. The system addresses usability barriers in variant interpretation tools like MARRVEL, which require precise formatting (e.g., HGVS notation) and return complex outputs. By enabling structured context engineering through tool-augmented reasoning, small models (3B–20B parameters) with tool access matched or outperformed larger models without tools, democratizing Mendelian disease discovery for non-experts and reducing cognitive burden on specialists.

Source

bskyMARRVEL-MCP: A natural-language interface enabling LLMs to use 44 genomic tools for rare disease variant interpretationcell.com

Key quotes

· 3 pulled
Variant interpretation in rare diseases requires navigating multiple genomic databases, each with strict input formats, while synthesizing heterogeneous evidence.
This process creates significant barriers for non-experts and imposes a substantial cognitive burden on experienced specialists.
With tool access, small models (3B–20B) matched or outperformed larger models without tools, highlighting structured context engineering in genomic reasoning.
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Everton et al. develop MARRVEL-MCP, a natural-language interface that enables large language models to use 44 genomic tools for rare disease variant interpretation. With tool access, small models (3B–20B) matched or outperformed larger models without tool

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