Evidence map›Paper›PMID 11861578›Full record

ArticleGenetics2002

Joint linkage and linkage disequilibrium mapping of quantitative trait loci in natural populations.

Rongling Wu, Chang-Xing Ma, George Casella

Abstract read
In one paragraph

Article in Genetics, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

35 citing papers in PubMed, 86 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Constructing a linkage-linkage disequilibrium map using dominant-segregating markers.DNA research : an international journal for rapid publication of reports on genes and genomes · 2016
    Article
  8. Mapping complex traits as a dynamic system.Physics of life reviews · 2015
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Genetic diversity and population structure in the US Upland cotton (Gossypium hirsutum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2014
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Association mapping in an elite maize breeding population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2011
    Article
  19. Article
  20. 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 at 2 institutions in 2 countries.

Rongling WuDepartment of Statistics, University of Florida, Gainesville, Florida 32611, USA. rwu@stat.ufl.edu
Chang-Xing Ma
George Casella
University of Florida · USNankai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Linkage analysis and allelic association (also referred to as linkage disequilibrium) studies are two major approaches for mapping genes that control simple or complex traits in plants, animals, and humans. But these two approaches have limited utility when used alone, because they use only part of the information that is available for a mapping population. More recently, a new mapping strategy has been designed to integrate the advantages of linkage analysis and linkage disequilibrium analysis for genome mapping in outcrossing populations. The new strategy makes use of a random sample from a panmictic population and the open-pollinated progeny of the sample. In this article, we extend the new strategy to map quantitative trait loci (QTL), using molecular markers within the EM-implemented maximum-likelihood framework. The most significant advantage of this extension is that both linkage and linkage disequilibrium between a marker and QTL can be estimated simultaneously, thus increasing the efficiency and effectiveness of genome mapping for recalcitrant outcrossing species. Simulation studies are performed to test the statistical properties of the MLEs of genetic and genomic parameters including QTL allele frequency, QTL effects, QTL position, and the linkage disequilibrium of the QTL and a marker. The potential utility of our mapping strategy is discussed.

Indexed as

Genetics, PopulationLinkage DisequilibriumModels, TheoreticalQuantitative Trait, HeritableAlgorithmsAnimalsGenetic MarkersGenotypeHumansLikelihood FunctionsPhenotypeGenetic Markers

Identifiers

PMID11861578
PMCPMC1461972
OpenAlexW2140760260

What OpenQuestion holds

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Registered trials

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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.