Journal article
Mendelian randomization with fine‐mapped genetic data: choosing from large numbers of correlated instrumental variables
- Abstract:
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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
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(Version of record, pdf, 306.2KB)
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- Publisher copy:
- 10.1002/gepi.22077
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Authors
Funding
Bibliographic Details
- 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:
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1098-2272
- ISSN:
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0741-0395
- Source identifiers:
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729368
Item Description
- Keywords:
- Pubs id:
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pubs:729368
- UUID:
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uuid:b51229ac-2c74-4b23-ab4b-9a0409f7a047
- Local pid:
- pubs:729368
- Deposit date:
- 2017-09-20
Terms of use
- Copyright holder:
- Burgess et al
- Copyright date:
- 2017
- Notes:
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Copyright © 2017 The Authors. Genetic Epidemiology Published by Wiley Periodicals, Inc.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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