Evidence map›Paper›PMID 21067984›Full record

ArticleForensic science international. Genetics2011

Application of a west Eurasian-specific filter for quasi-median network analysis: Sharpening the blade for mtDNA error detection.

Bettina Zimmermann, Alexander Röck, Gabriela Huber, Tanja Krämer, Peter M Schneider, Walther Parson

Open access · hybridAbstract read
In one paragraph

Article in Forensic science international. Genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  4. Review
  5. Article
  6. Review
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  9. Review
  10. Article
  11. MtDNA diversity of Ghana: a forensic and phylogeographic view.Forensic science international. Genetics · 2012
    Article
  12. Review
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 at 2 institutions in 1 country.

Bettina ZimmermannInstitute of Legal Medicine, Innsbruck Medical University, Austria.
Alexander Röck
Gabriela Huber
Tanja Krämer
Peter M Schneider
Walther Parson
Innsbruck Medical University · ATUniversität Innsbruck · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of quasi-median networks provides an effective tool to check the quality of mtDNA data. Filtering of highly recurrent mutations prior to network analysis is required to simplify the data set and reduce the complexity of the network. The phylogenetic background determines those mutations that need to be filtered. While the traditional EMPOPspeedy filter was based on the worldwide mtDNA phylogeny, haplogroup-specific filters can more effectively highlight potential errors in data of the respective (sub)-continental region. In this study we demonstrate the performance of a new, west Eurasian filter EMPOPspeedyWE for the fine-tuned examination of data sets belonging to macrohaplogroup N that constitutes the main portion of mtDNA lineages in Europe. The effects on the resulting network of different database sizes, high-quality and flawed data, as well as the examination of a phylogenetically distant data set, are presented by examples. The analyses are based on a west Eurasian etalon data set that was carefully compiled from more than 3500 control region sequences for network purposes. Both, etalon data and the new filter file, are provided through the EMPOP database (www.empop.org).

Indexed as

Databases, Nucleic AcidAsiaDNA, MitochondrialEuropeGenetics, PopulationHumansMolecular Sequence DataPhylogenySequence Analysis, DNADNA, Mitochondrial

Identifiers

PMID21067984
PMCPMC3065003
OpenAlexW2137937510

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.