Evidence map›Paper›PMID 21042793›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2011

Population structure and linkage disequilibrium in oat (Avena sativa L.): implications for genome-wide association studies.

M A Newell, D Cook, N A Tinker, J-L Jannink

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

33 citing papers in PubMed.

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  13. Genomic prediction and training set optimization in a structured Mediterranean oat population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  14. Review
  15. Article
  16. Article
  17. Genetic Similarity ofPlants (Basel, Switzerland) · 2021
    Article
  18. Population genomics of Mediterranean oat (A. sativa) reveals high genetic diversity and three loci for heading date.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  19. Genetic diversity and genome-wide association analysis in Chinese hulless oat germplasm.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
  20. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

M A NewellDepartment of Agronomy, Iowa State University, Ames, IA 50011, USA.
D Cook
N A Tinker
J-L Jannink

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The level of population structure and the extent of linkage disequilibrium (LD) can have large impacts on the power, resolution, and design of genome-wide association studies (GWAS) in plants. Until recently, the topics of LD and population structure have not been explored in oat due to the lack of a high-throughput, high-density marker system. The objectives of this research were to survey the level of population structure and the extent of LD in oat germplasm and determine their implications for GWAS. In total, 1,205 lines and 402 diversity array technology (DArT) markers were used to explore population structure. Principal component analysis and model-based cluster analysis of these data indicated that, for the lines used in this study, relatively weak population structure exists. To explore LD decay, map distances of 2,225 linked DArT marker pairs were compared with LD (estimated as r²). Results showed that LD between linked markers decayed rapidly to r² = 0.2 for marker pairs with a map distance of 1.0 centi-Morgan (cM). For GWAS, we suggest a minimum of one marker every cM, but higher densities of markers should increase marker-QTL association and therefore detection power. Additionally, it was found that LD was relatively consistent across the majority of germplasm clusters. These findings suggest that GWAS in oat can include germplasm with diverse origins and backgrounds. The results from this research demonstrate the feasibility of GWAS and related analyses in oat.

Indexed as

Genome-Wide Association StudyAvenaCluster AnalysisGenetic MarkersLinkage DisequilibriumMolecular Sequence AnnotationPopulation DynamicsPrincipal Component AnalysisSeedsGenetic Markers

Identifiers

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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.