Evidence map›Paper›PMID 15781710›Full record

ArticleGenetics2005

Improving quantitative trait loci mapping resolution in experimental crosses by the use of genotypically selected samples.

Zongli Xu, Fei Zou, Todd J Vision

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
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

26 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
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  6. Characterization of Transcription Factor GeneFrontiers in plant science · 2018
    Article
  7. Confirmation of delayed canopy wilting QTLs from multiple soybean mapping populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015
    Article
  8. Article
  9. Article
  10. The impact of recombination on short-term selection gain in plant breeding experiments.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2013
    Article
  11. Article
  12. Article
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  14. Article
  15. Article
  16. Review
  17. Article
  18. Combining DNA pooling with selective recombinant genotyping for increased efficiency in fine mapping.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2010
    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

3 authors at 1 institution in 1 country.

Zongli XuDepartment of Biology, University of North Carolina, Chapel Hill, 27599, USA.
Fei Zou
Todd J Vision
University of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the key factors contributing to the success of a quantitative trait locus (QTL) mapping experiment is the precision with which QTL positions can be estimated. We show, using simulations, that QTL mapping precision for an experimental cross can be increased by the use of a genotypically selected sample of individuals rather than an unselected sample of the same size. Selection is performed using a previously described method that optimizes the complementarity of the crossover sites within the sample. Although the increase in precision is accompanied by a decrease in QTL detection power at markers distant from QTL, only a modest increase in marker density is needed to obtain equivalent power over the whole map. Selected samples also show a slight reduction in the number of false-positive QTL. We find that two features of selected samples independently contribute to these effects: an increase in the number of crossover sites and increased evenness in crossover spacing. We provide an empirical formula for crossover enrichment in selected samples that is useful in experimental design and data analysis. For QTL studies in which the phenotyping is more of a limiting factor than the generation of individuals and the scoring of genotypes, selective sampling is an attractive strategy for increasing genome-wide QTL map resolution.

Indexed as

Chromosome MappingCrosses, GeneticQuantitative Trait LociComputer SimulationGenotypeLod Score

Identifiers

PMID15781710
PMCPMC1449702
OpenAlexW2041758189

What OpenQuestion holds

Textmetadata
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.