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Finding associations in dense genetic maps: a genetic algorithm approach.

Abstract:

Large-scale association studies hold promise for discovering the genetic basis of common human disease. These studies will consist of a large number of individuals, as well as large number of genetic markers, such as single nucleotide polymorphisms (SNPs). The potential size of the data and the resulting model space require the development of efficient methodology to unravel associations between phenotypes and SNPs in dense genetic maps. Our approach uses a genetic algorithm (GA) to construct...

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Publication status:
Published

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Publisher copy:
10.1159/000088845

Authors


De Iorio, M More by this author
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Institution:
University of Oxford
Department:
Oxford, MPLS, Statistics
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Institution:
University of Oxford
Department:
Oxford, MSD, RDM, Cardiovascular Medicine, BHF Centre of Research Excellence
Journal:
Human heredity
Volume:
60
Issue:
2
Pages:
97-108
Publication date:
2005
DOI:
EISSN:
1423-0062
ISSN:
0001-5652
URN:
uuid:c2326226-4afa-4813-ab2a-eba698a68ca0
Source identifiers:
97775
Local pid:
pubs:97775

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