Evidence map›Paper›PMID 24326292›Full record

ArticleHeredity2014

Cross-validation in association mapping and its relevance for the estimation of QTL parameters of complex traits.

T Würschum, T Kraft

Abstract read
In one paragraph

Article in Heredity, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Do lower nitrogen fertilization levels require breeding of different types of cultivars in triticale?TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  3. Article
  4. Improving the baking quality of bread wheat by genomic selection in early generations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018
    Article
  5. Article
  6. Article
  7. Defeating the Warrior: genetic architecture of triticale resistance against a novel aggressive yellow rust race.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017
    Article
  8. Deciphering the regulation of porcine genes influencing growth, fatness and yield-related traits through genetical genomics.Mammalian genome : official journal of the International Mammalian Genome Society · 2017
    Article
  9. Article
  10. Genetic control of protein content and sedimentation volume in European winter wheat cultivars.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2016
    Article
  11. Copy number variation of CBF-A14 at the Fr-A2 locus determines frost tolerance in winter durum wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2016
    Article
  12. Article
  13. Article
  14. Genetic control of plant height in European winter wheat cultivars.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  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

2 authors.

T WürschumState Plant Breeding Institute, University of Hohenheim, Stuttgart, Germany.
T KraftSyngenta Seeds AB, Landskrona, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Association mapping has become a widely applied genomic approach to identify quantitative trait loci (QTL) and dissect the genetic architecture of complex traits. However, approaches to assess the quality of the obtained QTL results are lacking. We therefore evaluated the potential of cross-validation in association mapping based on a large sugar beet data set. Our results show that the proportion of the population that should be used as estimation and validation sets, respectively, depends on the size of the mapping population. Generally, a fivefold cross-validation, that is, 20% of the lines as independent validation set, appears appropriate for commonly used population sizes. The predictive power for the proportion of genotypic variance explained by QTL was overestimated by on average 38% indicating a strong bias in the estimated QTL effects. The cross-validated predictive power ranged between 4 and 50%, which are more realistic estimates of this parameter for complex traits. In addition, QTL frequency distributions can be used to assess the precision of QTL position estimates and the robustness of the detected QTL. In summary, cross-validation can be a valuable tool to assess the quality of QTL parameters in association mapping.

Indexed as

Chromosome MappingCrosses, GeneticQuantitative Trait LociBeta vulgarisPhenotype

Identifiers

PMID24326292
PMCPMC3966130

What OpenQuestion holds

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Read underepoch 390

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.