Evidence map›Paper›PMID 22474405›Full record

ArticleEvolutionary bioinformatics online2012

Selection of marker genes using whole-genome DNA polymorphism analysis.

Harry M Bohle, Toni Gabaldón

Open access · goldAbstract read
In one paragraph

Article in Evolutionary bioinformatics online, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 at 2 institutions in 1 country.

Harry M BohleBioinformática, Universidad Internacional de Andalucía, Málaga, Spain.
Toni Gabaldón
Centre for Genomic Regulation · ESInternational University of Andalucía · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular markers serve to assign individual samples to specific groups. Such markers should be easily identified and have a high discrimination power, being highly conserved within groups while showing sufficient variability between the groups that are to be distinguished. The availability of a large number of complete genomic sequences now enables the informed selection of genes as molecular markers based on the observed patterns of variability. We derived a new scoring system based on observed DNA polymorphic differences, and which uses the Bayes theorem as adapted by Wilcox. For validation, we applied this system to the problem of identifying individual species within a prokaryotic (Vibrio) and a eukaryotic (Diphyllobothrium) genus for validation. Top-scoring candidates genes Chromosome segregation ATPase and ATPase-subunit 6 showed better discrimination power in Vibrio and Diphyllobothrium, respectively, as compared to standard molecular markers (recA, dnaJ and atpA for Vibrio, and 18s rRNA, ITS and COX1 for Diphyllobothrium).

Indexed as

Bayes’s theoremDNA polymorphismgenome analysismolecular marker

Identifiers

PMID22474405
PMCPMC3315472
OpenAlexW1985917418

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.