Evidence map›Paper›PMID 28748403›Full record

ArticleInternational journal of legal medicine2018

Evaluation of InnoTyper® 21 in a sample of Rio de Janeiro population as an alternative forensic panel.

R S Moura-Neto, I C T Mello, R Silva, A P C Maette, C G Bottino, A Woerner, J King, F Wendt, B Budowle

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Article in International journal of legal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

9 authors.

R S Moura-NetoLaboratório de Biologia Molecular Forense, Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil. rodrigomouraneto@ufrj.br.
I C T MelloInstituto de Biofisica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
R SilvaInstituto de Biofisica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
A P C MaetteInstituto de Biofisica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
C G BottinoPolicia Civil do Estado do Rio de Janeiro, Instituto de Pesquisas e Perícias em Genética Forense, Rio de Janeiro, RJ, Brazil.
A WoernerCenter for Human Identification, University of North Texas Health Science Center, Fort Worth, TX, USA.
J KingCenter for Human Identification, University of North Texas Health Science Center, Fort Worth, TX, USA.
F WendtCenter for Human Identification, University of North Texas Health Science Center, Fort Worth, TX, USA.
B BudowleCenter for Human Identification, University of North Texas Health Science Center, Fort Worth, TX, USA.

Funding

CAPES AUXPE No 23038.006844/2014-46
6 · The paper itself

Abstract

The use of bi-allelic markers such as retrotransposable element insertion polymorphisms or Innuls (for insertion/null) can overcome some limitations of short tandem repeat (STR) loci in typing forensic biological evidence. This study investigated the efficiency of the InnoTyper® 21 Innul markers in an urban admixed population sample in Rio de Janeiro (n = 40) and one highly compromised sample collected as evidence by the Rio de Janeiro police. No significant departures from Hardy-Weinberg equilibrium were detected after the Bonferroni correction (α' ≈ 0.05/20, p < 0.0025), and no significant linkage disequilibrium was observed between markers. Assuming loci independence, the cumulative random match probability (RMP) was 2.3 × 10

Indexed as

Genetics, PopulationRetroelementsBrazilDNA FingerprintingHumansPolymorphism, GeneticPrincipal Component AnalysisRacial GroupsRetroelementsBrazilForensic geneticsInnulsRio de JaneiroTransposable element markers

Identifiers

PMID28748403

What OpenQuestion holds

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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.