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Multiple quantitative trait analysis using bayesian networks.

Abstract:

Models for genome-wide prediction and association studies usually target a single phenotypic trait. However, in animal and plant genetics it is common to record information on multiple phenotypes for each individual that will be genotyped. Modeling traits individually disregards the fact that they are most likely associated due to pleiotropy and shared biological basis, thus providing only a partial, confounded view of genetic effects and phenotypic interactions. In this article we use data f...

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Publisher copy:
10.1534/genetics.114.165704

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Institution:
University of Oxford
Department:
Oxford, MPLS, Statistics
Role:
Author
Publisher:
Genetics
Journal:
Genetics
Volume:
198
Issue:
1
Pages:
129-137
Publication date:
2014-09-05
DOI:
EISSN:
1943-2631
ISSN:
0016-6731
URN:
uuid:610feb6e-b1d2-427f-afd4-3ca2d2a55d95
Source identifiers:
487486
Local pid:
pubs:487486

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