Evidence map›Paper›PMID 31036677›Full record

ArticleG3 (Bethesda, Md.)2019

Quantifying the Power and Precision of QTL Analysis in Autopolyploids Under Bivalent and Multivalent Genetic Models.

Peter M Bourke, Christine A Hackett, Roeland E Voorrips, Richard G F Visser, Chris Maliepaard

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. QTL Mapping for Resistance to Cankers Induced byPathogens (Basel, Switzerland) · 2020
    Article
  7. Article
  8. Article
  9. Multi-environment QTL analysis of plant and flower morphological traits in tetraploid rose.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018
    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

5 authors.

Peter M BourkePlant Breeding, Wageningen University & Research, Droevendaalsesteeg 1, P.O. Box 386, 6700 AJ Wageningen, The Netherlands peter.bourke@wur.nl chris.maliepaard@wur.nl.ORCID 0000-0002-0665-6508
Christine A HackettBiomathematics and Statistics Scotland, Invergowrie, Dundee DD2 5DA, UK.
Roeland E VoorripsPlant Breeding, Wageningen University & Research, Droevendaalsesteeg 1, P.O. Box 386, 6700 AJ Wageningen, The Netherlands.ORCID 0000-0003-4388-9244
Richard G F VisserPlant Breeding, Wageningen University & Research, Droevendaalsesteeg 1, P.O. Box 386, 6700 AJ Wageningen, The Netherlands.
Chris MaliepaardPlant Breeding, Wageningen University & Research, Droevendaalsesteeg 1, P.O. Box 386, 6700 AJ Wageningen, The Netherlands peter.bourke@wur.nl chris.maliepaard@wur.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New genotyping technologies, offering the possibility of high genetic resolution at low cost, have helped fuel a surge in interest in the genetic analysis of polyploid species. Nevertheless, autopolyploid species present extra challenges not encountered in diploids and allopolyploids, such as polysomic inheritance or double reduction. Here we investigate the power and precision of quantitative trait locus (QTL) analysis in outcrossing autopolyploids, comparing the results of a model that assumes random bivalent chromosomal pairing during meiosis to one that also allows for multivalents and double reduction. Through a series of simulation studies we found that marginal gains in QTL detection power are achieved using the double reduction model when multivalent pairing occurs. However, when exploring the effect of variable genotypic information across parental homologs, we found that both QTL detection power and precision require high and uniform genotypic information contents. This effect far outweighed considerations regarding bivalent or multivalent pairing (and double reduction) during meiosis. We propose that autopolyploid QTL studies be accompanied by both marker coverage information and per-homolog genotypic information coefficients (GIC). Application of these methods to an autotetraploid potato (

Indexed as

Models, GeneticPolyploidyQuantitative Trait LociAlgorithmsAllelesChromosome MappingGenotypeReproducibility of ResultsautopolyploidBayesian Information Criterion (BIC)double reductiongenotypic information coefficient (GIC)Quantitative Trait Locus (QTL) analysis

Identifiers

PMID31036677
PMCPMC6643892

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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.