• Bayesian weighted Mendelian randomization for causal inference based on summary statistics

    8 days ago - By Oxford Journals

    AbstractMotivationThe results from Genome-Wide Association Studies on thousands of phenotypes provide an unprecedented opportunity to infer the causal effect of one phenotype on another. Mendelian randomization , an instrumental variable method, has been introduced for causal inference using GWAS data. Due to the polygenic architecture of complex traits/diseases and the ubiquity of pleiotropy, however, MR has many unique challenges compared to conventional IV methods.ResultsWe propose a Bayesian weighted Mendelian randomization for causal inference to address these challenges. In our BWMR...
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