TITLE

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

AUTHOR(S)
Gayán, Javier; González-Pérez, Antonio; Bermudo, Fernando; Sáez, María Eugenia; Royo, Jose Luis; Quintas, Antonio; Galan, Jose Jorge; Morón, Francisco Jesús; Ramirez-Lorca, Reposo; Real, Luis Miguel; Ruiz, Agustín
PUB. DATE
January 2008
SOURCE
BMC Genomics;2008, Vol. 9, Special section p1
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
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.
ACCESSION #
38122954

 

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