Evidence map›Paper›PMID 21915710›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2012

Genome-wide association mapping of agronomic and morphologic traits in highly structured populations of barley cultivars.

Minghui Wang, Ning Jiang, Tianye Jia, Lindsey Leach, James Cockram, Jordi Comadran, Paul Shaw, Robbie Waugh, Luke Ramsay, Bill Thomas and 1 more

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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Article
  2. Article
  3. The Barley Glycosyltransferase GenePlants (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Frontiers in plant science · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
    Comadran, Jordi [added]; Shaw, Paul [added]; Ramsay, Luke [removed]; Thomas, Bill [removed].
5 · Who and what money

Authors and funding

11 authors.

Minghui WangSchool of Biosciences, The University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
Ning Jiang
Tianye Jia
Lindsey Leach
James Cockram
Jordi Comadran
Paul Shaw
Robbie Waugh
Luke Ramsay
Bill Thomas
Zewei Luo

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

Genome-wide association study (GWAS) has become an obvious general approach for studying traits of agricultural importance in higher plants, especially crops. Here, we present a GWAS of 32 morphologic and 10 agronomic traits in a collection of 615 barley cultivars genotyped by genome-wide polymorphisms from a recently developed barley oligonucleotide pool assay. Strong population structure effect related to mixed sampling based on seasonal growth habit and ear row number is present in this barley collection. Comparison of seven statistical approaches in a genome-wide scan for significant associations with or without correction for confounding by population structure, revealed that in reducing false positive rates while maintaining statistical power, a mixed linear model solution outperforms genomic control, structured association, stepwise regression control and principal components adjustment. The present study reports significant associations for sixteen morphologic and nine agronomic traits and demonstrates the power and feasibility of applying GWAS to explore complex traits in highly structured plant samples.

Indexed as

Genetics, PopulationPhenotypeChromosome MappingComputer SimulationGenetic MarkersGenome-Wide Association StudyGenotypeHordeumLinear ModelsPolymorphism, Single NucleotideGenetic Markers

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.