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A robust two-sample Mendelian Randomization method integrating GWAS with multi-tissue eQTL summary statistics
[article]
2020
bioRxiv
pre-print
In the post-genome-wide association era, two-sample Mendelian Randomization (MR) methods have been applied to detect genetically-regulated risk factors for complex diseases. Two-sample MR considers single nucleotide polymorphisms (SNPs) associated with a putative exposure as instrumental variables (IVs) to assess the effect of the exposure on an outcome by leveraging two sets of summary statistics: IV-to-exposure and IV-to-outcome statistics from existing GWASs. Traditional MR methods impose
doi:10.1101/2020.06.04.135541
fatcat:wieea4r63jdkxk4kqsznrphcwa