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HapBoost: A Fast Approach to Boosting Haplotype Association Analyses in Genome-Wide Association Studies

Authors Wan, Xiang
Yang, Can View this author's profile
Yang, Qiang View this author's profile
Zhao, Hongyu
Yu, Weichuan View this author's profile
Issue Date 2013
Source IEEE/ACM Transactions on Computational Biology and Bioinformatics , v. 10, (1), 2013, article number 6419694, p. 207-212
Summary Genome-wide association study (GWAS) has been successful in identifying genetic variants that are associated with complex human diseases. In GWAS, multilocus association analyses through linkage disequilibrium (LD), named haplotype-based analyses, may have greater power than single-locus analyses for detecting disease susceptibility loci. However, the large number of SNPs genotyped in GWAS poses great computational challenges in the detection of haplotype associations. We present a fast method named HapBoost for finding haplotype associations, which can be applied to quickly screen the whole genome. The effectiveness of HapBoost is demonstrated by using both synthetic and real data sets. The experimental results show that the proposed approach can achieve comparably accurate results while it performs much faster than existing methods.
ISSN 1545-5963
Language English
Format Article
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