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BWMR is a tool to infer causal effects on phenotypes on outcome in genome-wide association study (GWAS) data. The BWMR algorithm uses a Bayesian weighted Mendelian randomization (BWMR) and a variational expectation-maximization (VEM) method.


GWAS study; Genotype and phenotype; Statistics and probability; Metabolomics; Small molecules


  • Operation: Statistical inference; Standardisation and normalisation; Regression analysis
  • Software interface: Command-line user interface
  • Language: R
  • Operating system: Linux; Mac OS X; Microsoft Windows
  • License: Not stated
  • Cost: Free
  • Version name: 0.1.1
  • Credit: -
  • Contact: Can Yang macyang _at_
  • Collection: -


Zhao J, Ming J, Hu X, Chen G, Liu J, Yang C "Bayesian Weighted Mendelian Randomization for Causal Inference Based on Summary Statistics " Bioinformatics. 2019 Oct 8;btz749
PMID: 31593215

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