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Mendelian randomization with fine‐mapped genetic data: choosing from large numbers of correlated instrumental variables

Abstract:

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...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1002/gepi.22077

Authors


More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Nuffield Dept of Population Health, Clinical Trial Service Unit
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Nuffield Dept of Population Health, Clinical Trial Service Unit
Role:
Author
Publisher:
Wiley Publisher's website
Journal:
Genetic Epidemiology Journal website
Volume:
41
Issue:
8
Pages:
714-725
Publication date:
2017-09-25
Acceptance date:
2017-08-16
DOI:
EISSN:
1098-2272
ISSN:
0741-0395
Pubs id:
pubs:729368
URN:
uri:b51229ac-2c74-4b23-ab4b-9a0409f7a047
UUID:
uuid:b51229ac-2c74-4b23-ab4b-9a0409f7a047
Local pid:
pubs:729368

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