Evidence map›Paper›PMID 34196733›Full record

ReviewCellular and molecular life sciences : CMLS2021

Genome-wide association studies: assessing trait characteristics in model and crop plants.

Saleh Alseekh, Dimitrina Kostova, Mustafa Bulut, Alisdair R Fernie

Abstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

59 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Joint analysis of GWAS and TILLING reveals the negative role of GLABRA2 in controlling seed oil content in Brassica napus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  10. Article
  11. Article
  12. Local Haplotyping Analysis for Flowering Time in Soybean Using Crosshap.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Banana breeding by genome design.Journal of integrative plant biology · 2025
    Review
  18. Review
  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

4 authors.

Saleh AlseekhMax-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam-Golm, Germany.
Dimitrina KostovaCenter of Plant Systems Biology and Biotechnology, 4000, Plovdiv, Bulgaria.
Mustafa BulutMax-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam-Golm, Germany.
Alisdair R FernieMax-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam-Golm, Germany. fernie@mpimp-golm.mpg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GWAS involves testing genetic variants across the genomes of many individuals of a population to identify genotype-phenotype association. It was initially developed and has proven highly successful in human disease genetics. In plants genome-wide association studies (GWAS) initially focused on single feature polymorphism and recombination and linkage disequilibrium but has now been embraced by a plethora of different disciplines with several thousand studies being published in model and crop species within the last decade or so. Here we will provide a comprehensive review of these studies providing cases studies on biotic resistance, abiotic tolerance, yield associated traits, and metabolic composition. We also detail current strategies of candidate gene validation as well as the functional study of haplotypes. Furthermore, we provide a critical evaluation of the GWAS strategy and its alternatives as well as future perspectives that are emerging with the emergence of pan-genomic datasets.

Indexed as

Crops, AgriculturalGenetic Association StudiesGenome, PlantGenome-Wide Association StudyHaplotypesHumansLinkage DisequilibriumPolymorphism, Single NucleotideCrop speciesGenetic architectureGWASQuantitative trait loci

Identifiers

PMID34196733
PMCPMC8316211

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.