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Unleashing genotypes in epidemiology - A novel method for managing high throughput information.

Abstract：

:The large amounts of data generated when high-throughput genotyping methods are used in large-scale epidemiological studies (>10,000 participants) present an enormous challenge to researchers in terms of structured data management. In order to face these challenges, a system has been designed and implemented where genotype data can be efficiently stored. Focus has been on enabling researchers to collaborate by sharing genotype data with each other in a secure and controlled way. Genotype data is available where individuals can be selected using phenotype information and access to specific SNPs can be controlled using user-defined filters. Further value has been added to the basic genotypic information by including extensive metadata. Performance testing of the system was carried out using both artificial and real-world genotype data and shows that the implementation handles large datasets with a linear increase in extraction time and that the retrieval performance is more than sufficient for near-future genotyping research.

journal_name

J Biomed Inform

journal_title

Journal of biomedical informatics

authors

Olund G,Brinne A,Lindqvist P,Litton JE

doi

10.1016/j.jbi.2009.07.005

subject

Has Abstract

pub_date

2009-12-01 00:00:00

pages

1029-34

issue

6

eissn

1532-0464

issn

1532-0480

pii

S1532-0464(09)00098-7

journal_volume

42

pub_type

杂志文章

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