Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

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

Gibran Hemani, Jie Zheng, Benjamin Elsworth, Kaitlin H. Wade, Valeriia Haberland, Denis Baird, Charles Laurin, Stephen Burgess, Jack Bowden, Ryan Langdon, Vanessa Y. Tan, James Yarmolinsky, Hashem A. Shihab, Nicholas J. Timpson, David M. Evans, Caroline L. Relton, Richard M. Martin, George Davey Smith, Tom R. Gaunt, Philip Haycock

eLife · 2018

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Summary

MR-Base is a curated platform that democratises two-sample Mendelian randomization by integrating complete GWAS results with automated analysis tools, sensitivity analyses, and a continuously updated database. The resource enables hypothesis-driven causal inference across millions of potential phenotypic relationships without requiring individual-level data. This infrastructure facilitates rigorous phenome-wide association studies whilst addressing common methodological challenges such as horizontal pleiotropy.

UK applicability

As an open-access platform developed by UK researchers, MR-Base is directly applicable to UK epidemiological research and genetic study design. UK-based researchers can utilise the platform to investigate causal relationships relevant to human health and nutrition phenotypes, though the underlying GWAS datasets reflect predominantly European ancestry populations.

Key measures

Database size (11 billion SNP-trait associations from 1673 GWAS); platform capabilities (API, web app, R packages); sensitivity analyses for horizontal pleiotropy and assumption violations

Outcomes reported

The study describes development and deployment of MR-Base, a platform integrating curated GWAS results with automated two-sample Mendelian randomization tools. The platform enables systematic evaluation of causal relationships between phenotypes at scale, currently incorporating 11 billion SNP-trait associations from 1673 GWAS studies.

Theme
Measurement & metrics
Subject
Measurement methods & nutrient profiling
Study type
Research
Study design
Methodology/software development paper
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Laboratory / in vitro
DOI
10.7554/elife.34408
Catalogue ID
BFmor3gaas-87gyi6

Topic tags

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