Journal article
A novel test for gene-ancestry interactions in genome-wide association data
- Abstract:
-
Genome-wide association study (GWAS) data on a disease are increasingly available from multiple related populations. In this scenario, meta-analyses can improve power to detect homogeneous genetic associations, but if there exist ancestry-specific effects, via interactions on genetic background or with a causal effect that co-varies with genetic background, then these will typically be obscured. To address this issue, we have developed a robust statistical method for detecting susceptibility ...
Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Version of record, pdf, 759.3KB)
-
- Publisher copy:
- 10.1371/journal.pone.0048687
Authors
Bibliographic Details
- Publisher:
- Public Library of Science Publisher's website
- Journal:
- PloS ONE Journal website
- Volume:
- 7
- Issue:
- 12
- Pages:
- ARTN e48687
- Publication date:
- 2012-12-06
- Acceptance date:
- 2012-10-01
- DOI:
- EISSN:
-
1932-6203
- ISSN:
-
1932-6203
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:367660
- UUID:
-
uuid:129a3f40-ec15-4569-8726-6a05f97b07ea
- Local pid:
- pubs:367660
- Source identifiers:
-
367660
- Deposit date:
- 2013-11-16
Terms of use
- Copyright holder:
- Davies et al
- Copyright date:
- 2012
- Notes:
- Copyright: © 2012 Davies et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Licence:
- CC Attribution (CC BY)
Metrics
If you are the owner of this record, you can report an update to it here: Report update to this record