Evidence map›Paper›PMID 34358315›Full record

ArticleBioinformatics (Oxford, England)2021

Detecting quantitative trait loci and exploring chromosomal pairing in autopolyploids using polyqtlR.

Peter M Bourke, Roeland E Voorrips, Christine A Hackett, Geert van Geest, Johan H Willemsen, Paul Arens, Marinus J M Smulders, Richard G F Visser, Chris Maliepaard

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
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  3. Genomic history and ecology of local adaptation in sky-islandbioRxiv : the preprint server for biology · 2026
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  7. Local adaptation to climate facilitates a global invasion.bioRxiv : the preprint server for biology · 2025
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  11. Article
  12. Identification of two mutant JASON-RELATED genes associated with unreduced pollen production in potato.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  13. Article
  14. 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

9 authors.

Peter M BourkePlant Breeding, Wageningen University & Research, 6708PB Wageningen, The Netherlands.ORCID 0000-0002-0665-6508
Roeland E VoorripsPlant Breeding, Wageningen University & Research, 6708PB Wageningen, The Netherlands.ORCID 0000-0003-4388-9244
Christine A HackettBiomathematics and Statistics Scotland, Invergowrie, Dundee DD2 5DA, UK.
Geert van GeestPlant Breeding, Wageningen University & Research, 6708PB Wageningen, The Netherlands.
Johan H WillemsenPlant Breeding, Wageningen University & Research, 6708PB Wageningen, The Netherlands.
Paul ArensPlant Breeding, Wageningen University & Research, 6708PB Wageningen, The Netherlands.
Marinus J M SmuldersPlant Breeding, Wageningen University & Research, 6708PB Wageningen, The Netherlands.
Richard G F VisserPlant Breeding, Wageningen University & Research, 6708PB Wageningen, The Netherlands.
Chris MaliepaardPlant Breeding, Wageningen University & Research, 6708PB Wageningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationThe investigation of quantitative trait loci (QTL) is an essential component in our understanding of how organisms vary phenotypically. However, many important crop species are polyploid (carrying more than two copies of each chromosome), requiring specialized tools for such analyses. Moreover, deciphering meiotic processes at higher ploidy levels is not straightforward, but is necessary to understand the reproductive dynamics of these species, or uncover potential barriers to their genetic improvement.

resultsHere, we present polyqtlR, a novel software tool to facilitate such analyses in (auto)polyploid crops. It performs QTL interval mapping in F1 populations of outcrossing polyploids of any ploidy level using identity-by-descent probabilities. The allelic composition of discovered QTL can be explored, enabling favourable alleles to be identified and tracked in the population. Visualization tools within the package facilitate this process, and options to include genetic co-factors and experimental factors are included. Detailed information on polyploid meiosis including prediction of multivalent pairing structures, detection of preferential chromosomal pairing and location of double reduction events can be performed. AVAILABILITYAND IMPLEMENTATION: polyqtlR is freely available from the Comprehensive R Archive Network (CRAN) at http://cran.r-project.org/package=polyqtlR. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

PolyploidyQuantitative Trait LociChromosome MappingHumansLikelihood FunctionsSoftware

Identifiers

PMID34358315
PMCPMC8570814

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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.