Proceedings of the Korean Society for Bioinformatics Conference (한국생물정보학회:학술대회논문집)
- 2003.10a
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- Pages.221-228
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- 2003
iHaplor: A Hybrid Method for Haplotype Reconstruction
- Jung, Ho-Youl (National Genome Research Instituter, NIH) ;
- Heo, Jee-Yeon (The Sensory Research Center, College of Pharmacy, Seoul National University) ;
- Cho, Hye-Yeung (National Genome Research Instituter, NIH) ;
- Ryu, Gil-Mi (National Genome Research Instituter, NIH) ;
- Lee, Ju-Young (National Genome Research Instituter, NIH) ;
- Koh, In-Song (National Genome Research Instituter, NIH) ;
- Kimm, Ku-Chan (National Genome Research Instituter, NIH) ;
- Oh, Berm-Seok (National Genome Research Instituter, NIH)
- Published : 2003.10.31
Abstract
This paper presents a novel method that can identify the individual's haplotype from the given genotypes. Because of the limitation of the conventional single-locus analysis, haplotypes have gained increasing attention in the mapping of complex-disease genes. Conventionally there are two approaches which resolve the individual's haplotypes. One is the molecular haplotypings which have many potential limitations in cost and convenience. The other is the in-silico haplotypings which phase the haplotypes from the diploid genotyped populations, and are cost effective and high-throughput method. In-silico haplotyping is divided into two sub-categories - statistical and computational method. The former computes the frequencies of the common haplotypes, and then resolves the individual's haplotypes. The latter directly resolves the individual's haplotypes using the perfect phylogeny model first proposed by Dan Gusfield [7]. Our method combines two approaches in order to increase the accuracy and the running time. The individuals' haplotypes are resolved by considering the MLE (Maximum Likelihood Estimation) in the process of computing the frequencies of the common haplotypes.
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