Journal article
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...
Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
Actions
Access Document
- Files:
-
-
(pdf, 306.2KB)
-
- Publisher copy:
- 10.1002/gepi.22077
Why is the content I wish to access not available via ORA?
Bibliographic data (the information relating to research outputs) and full-text items (e.g. articles, theses, reports, etc.) arrive in ORA from several different sources. Unfortunately we are not able to make available the full-text for every research output.
Please contact the ORA team (
) if you have queries regarding unavailable content OR if you are aware of a full-text copy we can make available.
) if you have queries regarding unavailable content OR if you are aware of a full-text copy we can make available.
Content may be unavailable for the following four reasons
-
Version unsuitable
-
We have not obtained a suitable full-text for a given research output. See this page for more information.
-
Recently completed
-
Sometimes content is held in ORA but is unavailable for a fixed period of time to comply with the policies and wishes of rights holders.
-
Permissions
-
All content made available in ORA should comply with relevant rights, such as copyright. See this page for more information.
-
Clearance
-
Some thesis volumes scanned as part of the digitisation scheme funded by Dr Leonard Polonsky are currently unavailable due to sensitive material or uncleared third-party copyright content. We are attempting to contact authors whose theses are affected.
Alternative access to the full-text
You may be able to access the full-text directly from the publisher's website using the 'Publisher Copy' link in the 'Links & Downloads' box from a research output's ORA record page. This method may require an institutional or individual subscription to the journal/resource.
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:
-
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
Item Description
Terms of use
- Copyright holder:
- Burgess et al.
- Copyright date:
- 2017
- Notes:
-
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.
If you are the owner of this record, you can report an update to it here: Report update to this record