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Using genetic distance to infer the accuracy of genomic prediction

Abstract:

The prediction of phenotypic traits using high-density genomic data has many applications such as the selection of plants and animals of commercial interest; and it is expected to play an increasing role in medical diagnostics. Statistical models used for this task are usually tested using cross-validation, which implicitly assumes that new individuals (whose phenotypes we would like to predict) originate from the same population the genomic prediction model is trained on. In this paper we pr...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1371/journal.pgen.1006288

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Department:
Oxford, MPLS, Statistics
Balding, D More by this author
Publisher:
Public Library of Science Publisher's website
Journal:
PLoS Genetics Journal website
Volume:
12
Issue:
9
Pages:
Article: e1006288
Publication date:
2016
Acceptance date:
2016-08-16
DOI:
ISSN:
1553-7404
Pubs id:
pubs:639151
URN:
uri:1786ebbb-731d-49ef-9583-f004057b36cc
UUID:
1786ebbb-731d-49ef-9583-f004057b36cc
Local pid:
pubs:639151

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