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Bayesian methods for meta-analysis of causal relationships estimated using genetic instrumental variables.

Abstract:

Genetic markers can be used as instrumental variables, in an analogous way to randomization in a clinical trial, to estimate the causal relationship between a phenotype and an outcome variable. Our purpose is to extend the existing methods for such Mendelian randomization studies to the context of multiple genetic markers measured in multiple studies, based on the analysis of individual participant data. First, for a single genetic marker in one study, we show that the usual ratio of coeffici...

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Publisher copy:
10.1002/sim.3843

Authors


Burgess, S More by this author
Thompson, SG More by this author
Burgess, S More by this author
Thompson, SG More by this author
Andrews, G More by this author
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Journal:
Statistics in medicine
Volume:
29
Issue:
12
Pages:
1298-1311
Publication date:
2010-05-05
DOI:
EISSN:
1097-0258
ISSN:
0277-6715
URN:
uuid:ab9c7cd0-4061-49b0-8287-75771e76786b
Source identifiers:
85549
Local pid:
pubs:85549

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