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Generalized Structured Component Analysis in candidate gene association studies: applications and limitations

Abstract:

Background: Generalized Structured Component Analysis (GSCA) is a component-based alternative to traditional covariance-based structural equation modelling. This method has previously been applied to test for association between candidate genes and clinical phenotypes, contrasting with traditional genetic association analyses that adopt univariate testing of many individual single nucleotide polymorphisms (SNPs) with correction for multiple testing.
Methods: ... Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.12688/wellcomeopenres.15396.2

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Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Author
ORCID:
0000-0001-9940-6913
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Institution:
University of Oxford
Department:
Experimental Psychology
Role:
Author
ORCID:
0000-0002-2448-4033
More by this author
Role:
Author
ORCID:
0000-0001-9819-1260
More by this author
Role:
Author
ORCID:
0000-0002-9557-268X
Publisher:
F1000Research Publisher's website
Journal:
Wellcome Open Research Journal website
Volume:
4
Article number:
142
Publication date:
2019-09-25
Acceptance date:
2019-10-08
DOI:
EISSN:
2398-502X
Source identifiers:
1060209
Language:
English
Keywords:
Pubs id:
pubs:1060209
UUID:
uuid:12bc8adf-7d04-44a9-b7c7-a5bf6210e2bd
Local pid:
pubs:1060209
Deposit date:
2019-11-15

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