2007•Methods in molecular biologyRequires access

Linkage Disequilibrium and Association Mapping

Andrew R Collins

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Abstract

The basis for recent developments on the characterization of the linkage-disequilibrium structure of the genome and the application of association mapping to genes for common human diseases is described. Patterns of linkage disequilibrium are now understood, for a number of human populations, in unprecedented detail. This information not only provides a vital resource for the design and execution of powerful association-mapping studies, but opens new avenues of research into the genetic history of human populations and the effects of natural selection, mutation, and recombination on the genomic landscape.

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What this paper is about

The basis for recent developments on the characterization of the linkage-disequilibrium structure of the genome and the application of association mapping to genes for common human diseases is described. Patterns of linkage disequilibrium are now understood, for a number of human populations, in unprecedented detail. This information not only provides a vital resource for the design and execution of powerful association-mapping studies, but opens new avenues of research into the genetic history of human populations and the effects of natural selection, mutation, and recombination on the genomic landscape.

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Available abstract

The basis for recent developments on the characterization of the linkage-disequilibrium structure of the genome and the application of association mapping to genes for common human diseases is described. Patterns of linkage disequilibrium are now understood, for a number of human populations, in unprecedented detail. This information not only provides a vital resource for the design and execution of powerful association-mapping studies, but opens new avenues of research into the genetic history of human populations and the effects of natural selection, mutation, and recombination on the genomic landscape.

Key concepts: Linkage disequilibrium, Association mapping, Disequilibrium, Genetic association, Biology, Linkage (software), Genetics, Natural selection

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