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The MR-Base platform supports systematic causal inference across the human phenome

Introduces MR-Base, a platform pairing a curated GWAS database with software that automates 2-sample Mendelian randomization for causal inference.

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The MR-Base platform supports systematic causal inference across the human phenome

By G. Hemani, Jie Zheng, B. Elsworth et al.eLife
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MR-Base is a platform for inferring causal relationships between human phenotypes using 2-sample Mendelian randomization (2SMR), a strategy that draws on genome-wide association study (GWAS) results and avoids the need for individual-level data. It integrates a curated database of complete GWAS results with an application programming interface, a web app, and R packages that automate the 2SMR workflow, including sensitivity analyses that assess horizontal pleiotropy and other violations of the method's assumptions.

The database comprises 11 billion single nucleotide polymorphism-trait associations drawn from 1673 GWAS and is updated on a regular basis. By coupling curated data with software, MR-Base supports more rigorous, hypothesis-driven analyses and makes it feasible to efficiently evaluate millions of potential causal relationships in phenome-wide association studies.

Abstract

GWAS results can infer causal relationships between phenotypes via 2-sample Mendelian randomization (2SMR) without individual-level data, but rapidly evolving methods and poorly curated data hinder implementation. MR-Base integrates a curated database of complete GWAS results with an API, web app, and R packages that automate 2SMR, plus sensitivity analyses for horizontal pleiotropy. The database holds 11 billion SNP-trait associations from 1673 GWAS and is regularly updated, letting millions of potential causal relationships be evaluated in phenome-wide studies.

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Mendelian randomizationcausal inferenceGWASgenomicsbioinformatics platform
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