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Journal of Human Genetics
Article . 2002 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Akaike's information criterion for a measure of linkage disequilibrium

Authors: Kazuki, Shimo-onoda; Toshihiro, Tanaka; Kozo, Furushima; Toshiaki, Nakajima; Satoshi, Toh; Seiko, Harata; Kazunori, Yone; +5 Authors

Akaike's information criterion for a measure of linkage disequilibrium

Abstract

The extent and distribution of linkage disequilibrium ( LD) in humans is a current topic especially for gene mapping of complex diseases. Akaike's information criterion ( AIC) was applied to estimate LD and compared with other standard LD measures, D' and r(2). By comparison of an independent model (IM; linkage equilibrium) and a dependent model (DM; linkage disequilibrium), the parsimonious model is the one with the smaller AIC score. Therefore, the extent of LD by AIC is expressed as AIC( IM) -- AIC( DM)( AIC( LD)). A total of 39 single-nucleotide polymorphisms on a 1.6-Mb region of chromosome 21 q22 were identified, and genotyped in 192 Japanese individuals. All possible pairs were analyzed to estimate LD and the analyses were compared. AIC( LD) became highly positive as the D' value increased and was negative at D' values of around 0.2. Because a negative value of AIC( LD) implies linkage equilibrium, D' values below 0.2 should be regarded as linkage equilibrium. The LD estimate by AIC yielded results similar to those obtained by r(2), indicating that AIC( LD) would be useful for fine gene mapping.

Keywords

Models, Genetic, Chromosomes, Human, Pair 21, Humans, Sequence Analysis, DNA, Polymorphism, Single Nucleotide, Algorithms, Linkage Disequilibrium

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Average
Top 10%
bronze