Evidence map›Paper›PMID 28547012›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2017

How do the type of QTL effect and the form of the residual term influence QTL detection in multi-parent populations? A case study in the maize EU-NAM population.

Vincent Garin, Valentin Wimmer, Sofiane Mezmouk, Marcos Malosetti, Fred van Eeuwijk

Abstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. An IBD-based mixed model approach for QTL mapping in multiparental populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Intercontinental trials reveal stable QTL for Northern corn leaf blight resistance in Europe and in Brazil.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  11. Review
  12. Multi-parent multi-environment QTL analysis: an illustration with the EU-NAM Flint population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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.

Vincent GarinBiometris, Wageningen University and Research Center, P.O Box 100, 6700 AC, Wageningen, The Netherlands. vincent.garin@wur.nl.
Valentin WimmerKWS SAAT AG, Einbeck, Germany.
Sofiane MezmoukKWS SAAT AG, Einbeck, Germany.
Marcos MalosettiBiometris, Wageningen University and Research Center, P.O Box 100, 6700 AC, Wageningen, The Netherlands.
Fred van EeuwijkBiometris, Wageningen University and Research Center, P.O Box 100, 6700 AC, Wageningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageIn the QTL analysis of multi-parent populations, the inclusion of QTLs with various types of effects can lead to a better description of the phenotypic variation and increased power. For the type of QTL effect in QTL models for multi-parent populations (MPPs), various options exist to define them with respect to their origin. They can be modelled as referring to close parental lines or to further away ancestral founder lines. QTL models for MPPs can also be characterized by the homo- or heterogeneity of variance for polygenic effects. The most suitable model for the origin of the QTL effect and the homo- or heterogeneity of polygenic effects may be a function of the genetic distance distribution between the parents of MPPs. We investigated the statistical properties of various QTL detection models for MPPs taking into account the genetic distances between the parents of the MPP. We evaluated models with different assumptions about the QTL effect and the form of the residual term using cross validation. For the EU-NAM data, we showed that it can be useful to mix in the same model QTLs with different types of effects (parental, ancestral, or bi-allelic). The benefit of using cross-specific residual terms to handle the heterogeneity of variance was less obvious for this particular data set.

Indexed as

Models, GeneticQuantitative Trait LociAllelesCrosses, GeneticGenotypeModels, StatisticalPhenotypeZea mays

Identifiers

PMID28547012
PMCPMC5511610

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.