Evidence map›Paper›PMID 17409081›Full record

ArticleGenetics2007

SFP genotyping from affymetrix arrays is robust but largely detects cis-acting expression regulators.

Z W Luo, E Potokina, A Druka, R Wise, R Waugh, M J Kearsey

Abstract read
In one paragraph

Article in Genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

34 citing papers in PubMed.

  1. Article
  2. Review
  3. The E-MS Algorithm: Model Selection with Incomplete Data.Journal of the American Statistical Association · 2015
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  10. Combining genetical genomics and bulked segregant analysis-based differential expression: an approach to gene localization.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2011
    Article
  11. Article
  12. Article
  13. Article
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  15. Article
  16. Article
  17. Significance test and genome selection in bayesian shrinkage analysis.International journal of plant genomics · 2010
    Article
  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

6 authors.

Z W LuoSchool of Biosciences, University of Birmingham, Birmingham B15 2TT, United Kingdom.
E Potokina
A Druka
R Wise
R Waugh
M J Kearsey

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent development of Affymetrix chips designed from assembled EST sequences has spawned considerable interest in identifying single-feature polymorphisms (SFPs) from transcriptome data. SFPs are valuable genetic markers that potentially offer a physical link to the structural genes themselves. However, most current SFP prediction methodologies were developed for sequenced species although SFPs are particularly valuable for species with complex and unsequenced genomes. To establish the sensitivity and specificity of prediction, we explored four methods for identifying SFPs from experiments involving two tissues in two commercial barleys and their doubled-haploid progeny. The methods were compared in terms of numbers of SFPs predicted and their ability to identify known sequence polymorphisms in the features, to confirm existing SNP genotypes and to match existing maps and individual haplotypes. We identified >4000 separate SFPs that accurately predicted the SNP genotype of >98% of the doubled-haploid (DH) lines. They were highly enriched for features containing sequence polymorphisms but all methods uniformly identified a majority of SFPs ( approximately 64%) in features for which there was no sequence polymorphism while 5% mapped to different locations, indicating that "SFPs" mainly represent polymorphism in cis-acting regulators. All methods are efficient and robust at predicting markers for gene mapping.

Indexed as

Expressed Sequence TagsGene Expression Regulation, PlantChromosomes, PlantNucleic Acid HybridizationOligonucleotide Array Sequence AnalysisPlant LeavesPolymorphism, GeneticRNA, MessengerRNA, PlantTranscription, GeneticRNA, MessengerRNA, Plant

Identifiers

PMID17409081
PMCPMC1894608

What OpenQuestion holds

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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.