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Linkage disequilibrium and association studies in higher plants: Present status and future prospects

Overview of attention for article published in Plant Molecular Biology, March 2005
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Title
Linkage disequilibrium and association studies in higher plants: Present status and future prospects
Published in
Plant Molecular Biology, March 2005
DOI 10.1007/s11103-005-0257-z
Pubmed ID
Authors

Pushpendra K. Gupta, Sachin Rustgi, Pawan L. Kulwal

Abstract

During the last two decades, DNA-based molecular markers have been extensively utilized for a variety of studies in both plant and animal systems. One of the major uses of these markers is the construction of genome-wide molecular maps and the genetic analysis of simple and complex traits. However, these studies are generally based on linkage analysis in mapping populations, thus placing serious limitations in using molecular markers for genetic analysis in a variety of plant systems. Therefore, alternative approaches have been suggested, and one of these approaches makes use of linkage disequilibrium (LD)-based association analysis. Although this approach of association analysis has already been used for studies on genetics of complex traits (including different diseases) in humans, its use in plants has just started. In the present review, we first define and distinguish between LD and association mapping, and then briefly describe various measures of LD and the two methods of its depiction. We then give a list of different factors that affect LD without discussing them, and also discuss the current issues of LD research in plants. Later, we also describe the various uses of LD in plant genomics research and summarize the present status of LD research in different plant genomes. In the end, we discuss briefly the future prospects of LD research in plants, and give a list of softwares that are useful in LD research, which is available as electronic supplementary material (ESM).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 773 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 15 2%
United States 12 2%
France 5 <1%
India 5 <1%
Colombia 3 <1%
Spain 3 <1%
Italy 2 <1%
Philippines 2 <1%
Argentina 2 <1%
Other 16 2%
Unknown 708 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 218 28%
Student > Ph. D. Student 188 24%
Student > Master 74 10%
Student > Doctoral Student 42 5%
Student > Postgraduate 33 4%
Other 128 17%
Unknown 90 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 574 74%
Biochemistry, Genetics and Molecular Biology 52 7%
Environmental Science 13 2%
Computer Science 6 <1%
Unspecified 5 <1%
Other 29 4%
Unknown 94 12%
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 22 September 2014.
All research outputs
#20,237,640
of 22,764,165 outputs
Outputs from Plant Molecular Biology
#2,623
of 2,846 outputs
Outputs of similar age
#58,223
of 59,910 outputs
Outputs of similar age from Plant Molecular Biology
#20
of 20 outputs
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