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Effect of selection bias on two sample summary data based Mendelian randomization
Journal article   Open access   Peer reviewed

Effect of selection bias on two sample summary data based Mendelian randomization

Kai Wang and Shizhong Han
Scientific reports, Vol.11(Apr (E-published)), pp.7585-7585
01/01/2021
DOI: 10.1038/s41598-021-87219-6
PMCID: PMC8027662
PMID: 33828182
url
https://doi.org/10.1038/s41598-021-87219-6View
Published (Version of record) Open Access

Abstract

Mendelian randomization (MR) is becoming more and more popular for inferring causal relationship between an exposure and a trait. Typically, instrument SNPs are selected from an exposure GWAS based on their summary statistics and the same summary statistics on the selected SNPs are used for subsequent analyses. However, this practice suffers from selection bias and can invalidate MR methods, as showcased via two popular methods: the summary data-based MR (SMR) method and the two-sample MR Steiger method. The SMR method is conservative while the MR Steiger method can be either conservative or liberal. A simple and yet more powerful alternative to SMR is proposed.
Gene expression Genetic association study Genetics

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