Journal article icon

Journal article

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...

Expand abstract
Publication status:
Published

Actions


Access Document


Publisher copy:
10.1159/000088845

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author
Journal:
Human heredity
Volume:
60
Issue:
2
Pages:
97-108
Publication date:
2005-01-01
DOI:
EISSN:
1423-0062
ISSN:
0001-5652
Source identifiers:
97775
Language:
English
Keywords:
Pubs id:
pubs:97775
UUID:
uuid:c2326226-4afa-4813-ab2a-eba698a68ca0
Local pid:
pubs:97775
Deposit date:
2012-12-19

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP