Linkage disequilibrium as a tool for detecting signatures of natural selection
Linkage disequilibrium as a tool for detecting signatures of natural selection
Natural selection has been theoretically and empirically proven to alter patterns of linkage disequilibrium (LD). Reciprocally, recombination, the driving force behind LD, modifies the signature of natural selection by reintroducing variation in a punctuate manner across the genome. To date, efforts to identify genes that have been subjected to historical selective pressure by examining polymorphic variation and allelic association have frequently fallen short of unambiguously distinguishing selection from other biological mechanisms. Contemporary genetic maps that describe LD in fine detail represent a much needed tool that can be exploited by researchers aiming to tease apart these opposing signals.
gene mapping, genomics statistical methods
9781588296696
59-70
Ennis, Sarah
7b57f188-9d91-4beb-b217-09856146f1e9
5 February 2008
Ennis, Sarah
7b57f188-9d91-4beb-b217-09856146f1e9
Ennis, Sarah
(2008)
Linkage disequilibrium as a tool for detecting signatures of natural selection.
In,
Collins, Andrew R.
(ed.)
Linkage Disequilibrium and Association Mapping: Analysis and Applications.
(Methods in Molecular Biology, 376)
Totowa, USA.
Humana, .
(doi:10.1007/978-1-59745-389-9_5).
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Abstract
Natural selection has been theoretically and empirically proven to alter patterns of linkage disequilibrium (LD). Reciprocally, recombination, the driving force behind LD, modifies the signature of natural selection by reintroducing variation in a punctuate manner across the genome. To date, efforts to identify genes that have been subjected to historical selective pressure by examining polymorphic variation and allelic association have frequently fallen short of unambiguously distinguishing selection from other biological mechanisms. Contemporary genetic maps that describe LD in fine detail represent a much needed tool that can be exploited by researchers aiming to tease apart these opposing signals.
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Published date: 5 February 2008
Keywords:
gene mapping, genomics statistical methods
Identifiers
Local EPrints ID: 60574
URI: http://eprints.soton.ac.uk/id/eprint/60574
ISBN: 9781588296696
PURE UUID: 1dc53744-2e93-4165-87b1-fff544649290
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Date deposited: 11 Sep 2008
Last modified: 16 Mar 2024 03:07
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Editor:
Andrew R. Collins
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