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
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
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