Evidence map›Paper›PMID 28722705›Full record

ArticleHeredity2017

Background controlled QTL mapping in pure-line genetic populations derived from four-way crosses.

S Zhang, L Meng, J Wang, L Zhang

Abstract read
In one paragraph

Article in Heredity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. An IBD-based mixed model approach for QTL mapping in multiparental populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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.

S ZhangThe National Key Facility for Crop Gene Resources and Genetic Improvement, and Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
L MengThe National Key Facility for Crop Gene Resources and Genetic Improvement, and Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
J WangThe National Key Facility for Crop Gene Resources and Genetic Improvement, and Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
L ZhangThe National Key Facility for Crop Gene Resources and Genetic Improvement, and Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pure lines derived from multiple parents are becoming more important because of the increased genetic diversity, the possibility to conduct replicated phenotyping trials in multiple environments and potentially high mapping resolution of quantitative trait loci (QTL). In this study, we proposed a new mapping method for QTL detection in pure-line populations derived from four-way crosses, which is able to control the background genetic variation through a two-stage mapping strategy. First, orthogonal variables were created for each marker and used in an inclusive linear model, so as to completely absorb the genetic variation in the mapping population. Second, inclusive composite interval mapping approach was implemented for one-dimensional scanning, during which the inclusive linear model was employed to control the background variation. Simulation studies using different genetic models demonstrated that the new method is efficient when considering high detection power, low false discovery rate and high accuracy in estimating quantitative trait loci locations and effects. For illustration, the proposed method was applied in a reported wheat four-way recombinant inbred line population.

Indexed as

Models, GeneticQuantitative Trait LociChromosome MappingComputer SimulationGenetic VariationPhenotype

Identifiers

PMID28722705
PMCPMC5597784

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.