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TwoSampleMR

Definition
AI-generated

TwoSampleMR is an R package and workflow for two-sample Mendelian randomization using GWAS summary statistics from separate exposure and outcome studies.

Topics
Post-GWAS
URL
https://mrcieu.github.io/TwoSampleMR/
Related
Effect Allele GWAS Summary Statistics Horizontal Pleiotropy (MR)

Why it matters in GWAS

Many Mendelian randomization analyses are now carried out from summary statistics rather than individual-level data. TwoSampleMR standardizes common preprocessing steps and sensitivity analyses, making it easier to reproduce MR pipelines and compare alternative estimators.

Example usage

"Exposure and outcome summary statistics were harmonized in TwoSampleMR before IVW and MR-Egger analyses."

Effect Allele GWAS Summary Statistics Horizontal Pleiotropy (MR) Instrumental Variable (IV) Linkage Disequilibrium (LD) Mendelian Randomization (MR)
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Hemani G, et al. (2018). The MR-Base platform supports systematic causal inference across the human phenome. Elife. https://doi.org/10.7554/eLife.34408
  • TwoSampleMR documentation: https://mrcieu.github.io/TwoSampleMR/
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