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- W153001454 abstract "Accessibility of high-throughput genotyping technology makes possible genomewide association studies for common complex diseases. When dealing with common diseases, it is necessary to search and analyze multiple independent causes resulted from interactions of multiple genes scattered over the entire genome. The optimization formulations for searching disease-associated risk/resistant factors and predicting disease susceptibility for given case-control study have been introduced. Several discrete methods for disease association search exploiting greedy strategy and topological properties of case-control studies have been developed. New disease susceptibility prediction methods based on the developed search methods have been validated on datasets from case-control studies for several common diseases. Our experiments compare favorably the proposed algorithms with the existing association search and susceptibility prediction methods. Keywords. algorithm, SNP, genotype, phasing, case-control study, disease association, risk factor, optimization, haplotype, combinatorial methods" @default.
- W153001454 created "2016-06-24" @default.
- W153001454 creator A5056793831 @default.
- W153001454 creator A5072751459 @default.
- W153001454 date "2007-01-01" @default.
- W153001454 modified "2023-09-25" @default.
- W153001454 title "Discrete algorithms for analysis of genotype data" @default.
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