SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies | Zendy

Can Yang | Zendy; Zengyou He | Zendy; Xiang Wan | Zendy; Qiang Yang | Zendy; Hong Xue | Zendy; Weichuan Yu | Zendy

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SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies

Author(s) -

Can Yang,

Zengyou He,

Xiang Wan,

Qiang Yang,

Hong Xue,

Weichuan Yu

Publication year - 2008

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btn652

Subject(s) - epistasis , snp , single nucleotide polymorphism , genome wide association study , computational biology , genome , genetic association , biology , genetics , tag snp , computer science , genotype , gene

Hundreds of thousands of single nucleotide polymorphisms (SNPs) are available for genome-wide association (GWA) studies nowadays. The epistatic interactions of SNPs are believed to be very important in determining individual susceptibility to complex diseases. However, existing methods for SNP interaction discovery either suffer from high computation complexity or perform poorly when marginal effects of disease loci are weak or absent. Hence, it is desirable to develop an effective method to search epistatic interactions in genome-wide scale.

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