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High density linkage disequilibrium mapping using models of haplotype block variation
Author(s) -
Gideon Greenspan,
Dan Geiger
Publication year - 2004
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/bth907
Subject(s) - linkage disequilibrium , haplotype , tag snp , single nucleotide polymorphism , linkage (software) , computational biology , haplotype estimation , genetics , association mapping , biology , genetic association , block (permutation group theory) , computer science , data mining , genotype , gene , mathematics , geometry
The presence of millions of single nucleotide polymorphisms (SNPs) in the human genome has spurred interest in genetic mapping methods based on linkage disequilibrium. The recently discovered haplotype block structure of human variation promises to improve the effectiveness of these methods. A key difficulty for mapping techniques is the cost involved in separately identifying the haplotypes on each of an individual's chromosomes.

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