Article

MR-KG: A knowledge graph of Mendelian randomization evidence powered by large language models

2025-12-15

Abstract excerpt

<h4>Background: </h4> The exponential growth of Mendelian randomization (MR) literature has created challenges for systematically organising and synthesising evidence, with key information fragmented across heterogeneous publications. We present MR-KG, a knowledge graph resource using large language models (LLMs) to systematically extract and structure published MR evidence at scale. <h4>Methods:</h4> We evaluated...

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Literature Corpus work: 9ee821f7-c4c3-58f6-8920-8fade557cf18
DOI: 10.64898/2025.12.14.25342218

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