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...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Published: |
Wiley
2017
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