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BWMR
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BWMR

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.



BWMR

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.

Topic

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

Details

  • 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_ ust.hk
  • Collection: -

Publications

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 https://doi.org/10.1093/bioinformatics/btz749
PMID: 31593215


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