Evidence map›Paper›PMID 15100415›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2004

Theoretical basis for genetic linkage analysis in autotetraploid species.

Z W Luo, R M Zhang, M J Kearsey

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

  1. Article
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  14. Genetic mapping with an inbred line-derived F2 population in potato.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2016
    Article
  15. Article
  16. Article
  17. Improving breeding efficiency in potato using molecular and quantitative genetics.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2014
    Review
  18. Article
  19. Article
  20. Response to Wang and Luo.BMC biology · 2012
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Z W LuoSchool of Biosciences, University of Birmingham, Birmingham B15 2TT, United Kingdom. z.luo@bham.ac.uk
R M Zhang
M J Kearsey

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Linkage analysis in autotetraploid species has been an historical challenge in quantitative genetics theory and is a stumbling block that urgently needs to be removed in the rapidly emerging genome research on this species, such as cultivated potato. This article presents theory of a full model of tetrasomic linkage and develops a statistical framework for the linkage analysis. The model considers both double reduction and recombination, the most essential features of tetrasomic inheritance with linked loci, whereas the statistical method takes appropriate account of the major complexities in analyzing both dominant and codominant molecular marker data during map reconstruction in tetraploid species. These complexities include the problems arising from multiple dosage of allelic inheritance, the null allele, allelic segregation distortion, mixed bivalent and quadrivalent pairing in meiosis, and incomplete information of marker phenotype data. The theoretical analysis established the relationship between the coefficients of double reduction at linked loci, which is essential in the present tetrasomic linkage analysis and in assessing the impact of double reduction on the evolution of tetraploid populations. The statistical method, based on the combination of theoretical analysis and a computer-based algorithm, provided analytical tools for predicting the maximum-likelihood estimates of the model parameters. A simulation study showed the feasibility of a practical implementation of the method, detailed the procedure of the analysis, validated the power and reliability in the parameter estimation, and compared the present method with those proposed in the current literature.

Indexed as

Genetic LinkageModels, GeneticPolyploidyComputer SimulationData Interpretation, StatisticalLikelihood Functions

Identifiers

PMID15100415
PMCPMC406462

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.