Results 211 to 220 of about 111,740 (256)

An Algorithm for Haplotype Analysis

Journal of Computational Biology, 1997
This paper proposes an algorithm for haplotype analysis based on a Monte Carlo method. Haplotype configurations are generated according to the distribution of joint haplotypes of individuals in a pedigree given their phenotype data, via a Markov chain Monte Carlo algorithm.
Shili Lin, Terence P. Speed
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Ancestral haplotypes: conserved population MHC haplotypes

Human Immunology, 1992
We describe here a number of Caucasoid MHC haplotypes that extend from HLA-B to DR and that have been conserved en bloc. These haplotypes and recombinants between any two of them account for 73% of unselected haplotypes in our Caucasoid population. The existence of ancestral haplotypes implies conservation of large chromosomal segments. Irrespective of
M A, Degli-Esposti, A L, Leaver, F T, Christiansen, C S, Witt, L J, Abraham, R L, Dawkins   +5 more
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Haplotype Inference

2011
Haplotypes, as they specify linkage patterns between individual nucleotide variants, confer critical information for understanding the genetics of human diseases. However, haplotype information is not directly obtainable from high-throughput genotyping platforms.
Xin, Li, Jing, Li
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Haplotype Inference

2012
The information carried by combination of alleles on the same chromosome, called haplotypes, is of crucial interest in several fields of modern genetics as population genetics or association studies. However, this information is usually lost by sequencing and needs, therefore, to be recovered by inference.
Olivier, Delaneau, Jean-François, Zagury   +1 more
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Haplotype Inference

2017
Haplotypes, as they specify linkage patterns between individual nucleotide variants, confer critical information for understanding the genetics of human diseases. However, haplotype information is not directly obtainable from high-throughput genotyping platforms.
Sunah, Song, Xin, Li, Jing, Li
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Empirical Exploration of Perfect Phylogeny Haplotyping and Haplotypers

2003
The next high-priority phase of human genomics will involve the development of a full Haplotype Map of the human genome [15]. It will be used in large-scale screens of populations to associate specific haplotypes with specific complex genetic-influenced diseases.
Ren Hua Chung, Dan Gusfield
openaire   +1 more source

Haplotype Inference and Haplotype Information

2004
Haplotypes have become increasingly popular because of the abundance of single nucleotide polymorphisms (SNPs) and the limited power of the single-locus analyses. To contend with some weaknesses of the existing haplotype inference methods, we propose new algorithms based on the partition-ligation idea.
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Multifactor Dimensionality Reduction for Detecting Haplotype-Haplotype Interaction

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
The multifactor dimensionality reduction (MDR) is a model-free approach that can identify SNP × SNP effects in a case-control study. In this study, we extended MDR to identify interactions among haplotypes (Hap-MDR). With Hap-MDR, multilocus haplotype genotypes were pooled into high-risk and low-risk groups, effectively reducing the haplotype genotypes
Yongshuai Jiang, Ruijie Zhang, Guiyou Liu, Zhen Wang, Zhiqiang Chen, Peng Sun, Chen Huang, Xuehong Zhang   +7 more
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Haplotypes and MS

Neurology, 1989
D A, Francis, J R, Batchelor
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Algorithms for inferring haplotypes

Genetic Epidemiology, 2004
AbstractHaplotype phase information in diploid organisms provides valuable information on human evolutionary history and may lead to the development of more efficient strategies to identify genetic variants that increase susceptibility to human diseases. Molecular haplotyping methods are labor‐intensive, low‐throughput, and very costly.
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