A method for detecting epistasis in genome-wide studies using case-control multi-locus association analysis

Thumbnail
View/Open
Issue date
2008
Author
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
Suggested citation
Gayán, Javier; González-Pérez, Antonio; Bermudo, Fernando; Eugenia Sáez, María; Royo Sánchez-Palencia, José Luis; Quintas, Antonio; ... Ruiz González, Agustín. (2008) . A method for detecting epistasis in genome-wide studies using case-control multi-locus association analysis. BioMed Central Genomics, 2008, vol. 9, núm. 360, p. 1-14. https://doi.org/10.1186/1471-2164-9-360.
Impact

Google Scholar logo  Google Scholar
Share
Export to Mendeley
Metadata
Show full item record
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.
URI
http://hdl.handle.net/10459.1/60016
DOI
https://doi.org/10.1186/1471-2164-9-360
Is part of
BioMed Central Genomics, 2008, vol. 9, núm. 360, p. 1-14
Collections

The following license files are associated with this item:

cc-by (c) Gayán et al., 2008
Except where otherwise noted, this item's license is described as cc-by (c) Gayán et al., 2008