Journal article
SCOPA and META-SCOPA: software for the analysis and aggregation of genome-wide association studies of multiple correlated phenotypes
- Abstract:
-
BACKGROUND: Genome-wide association studies (GWAS) of single nucleotide polymorphisms (SNPs) have been successful in identifying loci contributing genetic effects to a wide range of complex human diseases and quantitative traits. The traditional approach to GWAS analysis is to consider each phenotype separately, despite the fact that many diseases and quantitative traits are correlated with each other, and often measured in the same sample of individuals. Multivariate analyses of correlated p...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Funding
+ Wellcome Trust
More from this funder
Funding agency for:
Morris, A
Grant:
Senior Fellow in Basic Biomedical Science (WT098017
Bibliographic Details
- Publisher:
- BioMed Central Publisher's website
- Journal:
- BMC Bioinformatics Journal website
- Volume:
- 18
- Issue:
- 1
- Article number:
- 25
- Publication date:
- 2017-01-11
- Acceptance date:
- 2016-12-17
- DOI:
- ISSN:
-
1471-2105
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:671739
- UUID:
-
uuid:021d0f77-7fef-4216-a704-99f560f3a09c
- Local pid:
- pubs:671739
- Source identifiers:
-
671739
- Deposit date:
- 2017-06-26
Terms of use
- Copyright holder:
- Mägi et al
- Copyright date:
- 2017
- Notes:
- Copyright © 2017 The Authors. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
- Licence:
- CC Attribution (CC BY)
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