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Título:
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A method for detecting epistasis in genome-wide studies using case-control multi-locus association analysis
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Autor/a:
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Gayán, Javier; González-Pérez, Antonio; Bermudo, Fernando; Eugenia Sáez, María; Royo Sánchez-Palencia, José Luis; Quintas, Antonio; Galan, José J.; Morón, Francisco J.; Ramirez Lorca, Reposo; Real, Luis M.; Ruiz González, Agustín
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Notas:
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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.
This work was supported in part by Agencia IDEA, Consejería de Innovación, Ciencia y Empresa (830882); Corporación Tecnológ- ica de Andalucía (07/124); and Ministerio de Educación y Ciencia (PCT- A41502790-2006 and PCT-010000-2006-1). |
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Derechos:
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cc-by (c) Gayán et al., 2008
http://creativecommons.org/licenses/by/4.0/
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Tipo de documento:
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article
publishedVersion |
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Editor:
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BioMed Central
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