Evidence map›Paper›PMID 14760490›Full record

ArticleInternational journal of legal medicine2004

Single nucleotide polymorphisms over the entire mtDNA genome that increase the power of forensic testing in Caucasians.

Michael D Coble, Rebecca S Just, Jennifer E O'Callaghan, Ilona H Letmanyi, Christine T Peterson, Jodi A Irwin, Thomas J Parsons

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Article in International journal of legal medicine, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

  1. Trial
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  6. Article
  7. Whole Mitochondrial DNA Sequencing Analysis in 47 Han Populations in Southwest China.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
  8. Article
  9. Article
  10. Article
  11. Forensically relevant SNaPshotInternational journal of legal medicine · 2017
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

4 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Michael D CobleThe Armed Forces DNA Identification Laboratory, Building 101, 1413 Research Blvd., Rockville, Maryland 20850, USA.
Rebecca S Just
Jennifer E O'Callaghan
Ilona H Letmanyi
Christine T Peterson
Jodi A Irwin
Thomas J Parsons

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have sequenced the entire mtDNA genome (mtGenome) of 241 individuals who match 1 of 18 common European Caucasian HV1/HV2 types, to identify sites that permit additional forensic discrimination. We found that over the entire mtGenome even individuals with the same HV1/HV2 type rarely match. Restricting attention to sites that are neutral with respect to phenotypic expression, we have selected eight panels of single nucleotide polymorphism (SNP) sites that are useful for additional discrimination. These panels were selected to be suitable for multiplex SNP typing assays, with 7-11 sites per panel. The panels are specific for one or more of the common HV1/HV2 types (or closely related types), permitting a directed approach that conserves limiting case specimen extracts while providing a maximal chance for additional discrimination. Discrimination provided by the panels reduces the frequency of the most common type in the European Caucasian population from approximately 7% to approximately 2%, and the 18 common types we analyzed are resolved to 105 different types, 55 of which are seen only once.

Indexed as

Genome, HumanPolymorphism, Single NucleotideWhite PeopleDNA, MitochondrialForensic MedicineGene FrequencyGenetics, PopulationHumansDNA, Mitochondrial

Identifiers

What OpenQuestion holds

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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.