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Model and Algorithm for Linkage Disequilibrium Analysis in a Non-Equilibrium Population

Overview of attention for article published in Frontiers in Genetics, January 2012
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Title
Model and Algorithm for Linkage Disequilibrium Analysis in a Non-Equilibrium Population
Published in
Frontiers in Genetics, January 2012
DOI 10.3389/fgene.2012.00078
Pubmed ID
Authors

Jingyuan Liu, Zhong Wang, Yaqun Wang, Runze Li, Rongling Wu

Abstract

The multilocus analysis of polymorphisms has emerged as a vital ingredient of population genetics and evolutionary biology. A fundamental assumption used for existing multilocus analysis approaches is Hardy-Weinberg equilibrium at which maternally- and paternally-derived gametes unite randomly during fertilization. Given the fact that natural populations are rarely panmictic, these approaches will have a significant limitation for practical use. We present a robust model for multilocus linkage disequilibrium analysis which does not rely on the assumption of random mating. This new disequilibrium model capitalizes on Weir's definition of zygotic disequilibria and is based on an open-pollinated design in which multiple maternal individuals and their half-sib families are sampled from a natural population. This design captures two levels of associations: one is at the upper level that describes the pattern of cosegregation between different loci in the parental population and the other is at the lower level that specifies the extent of co-transmission of non-alleles at different loci from parents to their offspring. An MCMC method was implemented to estimate genetic parameters that define these associations. Simulation studies were used to validate the statistical behavior of the new model.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 38%
Student > Bachelor 2 15%
Professor > Associate Professor 1 8%
Student > Doctoral Student 1 8%
Unknown 4 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 46%
Biochemistry, Genetics and Molecular Biology 1 8%
Economics, Econometrics and Finance 1 8%
Psychology 1 8%
Medicine and Dentistry 1 8%
Other 0 0%
Unknown 3 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 July 2012.
All research outputs
#19,639,017
of 24,155,398 outputs
Outputs from Frontiers in Genetics
#7,594
of 12,970 outputs
Outputs of similar age
#203,204
of 251,154 outputs
Outputs of similar age from Frontiers in Genetics
#181
of 255 outputs
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