Article

Automating Mendelian randomization through machine learning to construct a putative causal map of the human phenome

2017-08-10

Abstract excerpt

A major application for genome-wide association studies (GWAS) has been the emerging field of causal inference using Mendelian randomization (MR), where the causal effect between a pair of traits can be estimated using only summary level data. MR depends on SNPs exhibiting vertical pleiotropy, where the SNP influences an outcome phenotype only through an exposure phenotype. Issues arise when this assumption is vio...

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Literature Corpus work: 5877221c-6fea-5d20-9dde-f7fe7ced5e2e
DOI: 10.1101/173682

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