Mendelian randomization with fine‐mapped genetic data: choosing from large numbers of correlated instrumental variables
Mendelian randomization uses genetic variants to make causal inferences about the effect of a risk factor on an outcome. With fine‐mapped genetic data, there may be hundreds of genetic variants in a single gene region any of which could be used to assess this causal relationship. However, using too many genetic variants in the analysis can lead to spurious estimates and inflated Type 1 error rates. But if only a few genetic variants are used, then the majority of the data is ignored and esti...Expand abstract
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Copyright © 2017 The Authors. Genetic Epidemiology Published by Wiley Periodicals, Inc.
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