Autor: |
Galan Jose, Quintas Antonio, Royo Jose, Sáez María, Bermudo Fernando, González-Pérez Antonio, Gayán Javier, Morón Francisco, Ramirez-Lorca Reposo, Real Luis, Ruiz Agustín |
Jazyk: |
angličtina |
Rok vydání: |
2008 |
Předmět: |
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Zdroj: |
BMC Genomics, Vol 9, Iss 1, p 360 (2008) |
Druh dokumentu: |
article |
ISSN: |
1471-2164 |
DOI: |
10.1186/1471-2164-9-360 |
Popis: |
Abstract Background The difficulty in elucidating the genetic basis of complex diseases roots in the many factors that can affect the development of a disease. Some of these genetic effects may interact in complex ways, proving undetectable by current single-locus methodology. Results We have developed an analysis tool called Hypothesis Free Clinical Cloning (HFCC) to search for genome-wide epistasis in a case-control design. HFCC combines a relatively fast computing algorithm for genome-wide epistasis detection, with the flexibility to test a variety of different epistatic models in multi-locus combinations. HFCC has good power to detect multi-locus interactions simulated under a variety of genetic models and noise conditions. Most importantly, HFCC can accomplish exhaustive genome-wide epistasis search with large datasets as demonstrated with a 400,000 SNP set typed on a cohort of Parkinson's disease patients and controls. Conclusion With the current availability of genetic studies with large numbers of individuals and genetic markers, HFCC can have a great impact in the identification of epistatic effects that escape the standard single-locus association analyses. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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