Evidence map›Paper›PMID 18769903›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2008

Minimising inter-laboratory variation when constructing a unified molecular database of plant varieties in an allogamous crop.

Huw Jones, Anne Bernole, Louise Bach Jensen, Richard A Horsnell, John R Law, Robert J Cooke, Carol E Norris

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Huw JonesNIAB, Huntingdon Road, Cambridge, CB3 0LE, UK.
Anne Bernole
Louise Bach Jensen
Richard A Horsnell
John R Law
Robert J Cooke
Carol E Norris

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The construction of large-scale databases of molecular profiles of plant varieties for variety identification and diversity analyses is of considerable interest. When varieties of an allogamous species such as oilseed rape are analysed and described using molecular markers such as microsatellites, care is needed to represent the variety in a meaningful yet useful way. It is possible to characterise such heterogeneous genotypes by analysing bulked samples comprising more than one individual seed or plant, but this approach may result in complex microsatellite profiles. Intuitively it would be reasonable to represent a variety by the common 'major alleles' in a profile, but how to define these 'major alleles' remains problematic. This paper describes methods of analysing DNA microsatellite data that will allow independent and objective data production at a number of laboratories. Methods for establishing allele scoring rules (thresholding) are described and the effect of these rules on the utility of the data is discussed.

Indexed as

Databases, GeneticMicrosatellite RepeatsAllelesCrops, AgriculturalDNA, PlantGenetic MarkersGenotypeLaboratoriesReference StandardsReproducibility of ResultsSequence Analysis, DNADNA, PlantGenetic Markers

Identifiers

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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.