Evidence map›Paper›PMID 31856318›Full record

ArticleThe Plant journal : for cell and molecular biology2020

Imputation of 3 million SNPs in the Arabidopsis regional mapping population.

Bader Arouisse, Arthur Korte, Fred van Eeuwijk, Willem Kruijer

Abstract read
In one paragraph

Article in The Plant journal : for cell and molecular biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Natural expression variation for the ArabidopsisFrontiers in plant science · 2025
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  4. Article
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  8. Article
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  11. Predicting Gene Regulatory Interactions Using Natural Genetic Variation.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  12. Article
  13. Article
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  16. Genome-wide association mapping within a localPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  17. Article
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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

4 authors.

Bader ArouisseBiometris, Wageningen University & Research, Wageningen, Netherlands.ORCID 0000-0003-0095-7374
Arthur KorteCentre for Computational and Theoretical Biology, University of Würzburg, Würzburg, Germany.ORCID 0000-0003-0831-1463
Fred van EeuwijkBiometris, Wageningen University & Research, Wageningen, Netherlands.ORCID 0000-0003-3672-2921
Willem KruijerBiometris, Wageningen University & Research, Wageningen, Netherlands.ORCID 0000-0001-7179-1733

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural variation has become a prime resource to identify genetic variants that contribute to phenotypic variation. The regional mapping (RegMap) population is one of the most important populations for studying natural variation in Arabidopsis thaliana, and has been used in a large number of association studies and in studies on climatic adaptation. However, only 413 RegMap accessions have been completely sequenced, as part of the 1001 Genomes (1001G) Project, while the remaining 894 accessions have only been genotyped with the Affymetrix 250k chip. As a consequence, most association studies involving the RegMap are either restricted to the sequenced accessions, reducing power, or rely on a limited set of SNPs. Here we impute millions of SNPs to the 894 accessions that are exclusive to the RegMap, using the 1135 accessions of the 1001G Project as the reference panel. We assess imputation accuracy using a novel cross-validation scheme, which we show provides a more reliable measure of accuracy than existing methods. After filtering out low accuracy SNPs, we obtain high-quality genotypic information for 2029 accessions and 3 million markers. To illustrate the benefits of these imputed data, we reconducted genome-wide association studies on five stress-related traits and could identify novel candidate genes.

Indexed as

ArabidopsisGenome, PlantGenome-Wide Association StudyGenotypeOligonucleotide Array Sequence AnalysisPhenotypePolymorphism, Single NucleotideStress, Physiological1001 Genomes projectArabidopsis thalianagenome-wide association studyimputation accuracyregional mapping

Identifiers

PMID31856318
PMCPMC7318218

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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.