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Mendeley readers
Attention Score in Context
| Title |
A revised Fisher model on analysis of quantitative trait loci with multiple alleles
|
|---|---|
| Published in |
Frontiers in Genetics, September 2014
|
| DOI | 10.3389/fgene.2014.00328 |
| Pubmed ID | |
| Authors |
Tao Wang |
| Abstract |
Zeng et al. (2005) proposed a general two-allele (G2A) model to model bi-allelic quantitative trait loci (QTL). Comparing with the classical Fisher model, the G2A model can avoid using redundant parameters and be fitted directly using standard least square (LS) approach. In this study, we further extend the G2A model to general multi-allele (GMA) model. First, we propose a one-locus GMA model for phase known genotypes based on modeling the inheritance of paternal and maternal alleles. Next, we develop a one-locus GMA model for phase unknown genotypes by treating it as a special case of the phase known one-locus GMA model. Thirdly, we extend the one-locus GMA models to multiple loci. We discuss how the genetic variance components can be analyzed using these GMA models in equilibrium as well as disequilibrium populations. Finally, we apply the GMA model to a published experimental data set. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 1 | 20% |
| Professor | 1 | 20% |
| Student > Master | 1 | 20% |
| Researcher | 1 | 20% |
| Student > Postgraduate | 1 | 20% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 100% |
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 25 September 2014.
All research outputs
#20,237,640
of 22,764,165 outputs
Outputs from Frontiers in Genetics
#8,564
of 11,758 outputs
Outputs of similar age
#210,700
of 252,140 outputs
Outputs of similar age from Frontiers in Genetics
#96
of 111 outputs
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