Evidence map›Paper›PMID 15870386›Full record

ArticleNucleic acids research2005

How many clones need to be sequenced from a single forensic or ancient DNA sample in order to determine a reliable consensus sequence?

Mim A Bower, Matthew Spencer, Shuichi Matsumura, R Ellen R Nisbet, Christopher J Howe

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Pet fur or fake fur? A forensic approach.Investigative genetics · 2014
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A statistical approach to identify ancient template DNA.Journal of molecular evolution · 2007
    Article
  9. Article
  10. 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

5 authors.

Mim A BowerArchaeogenetics Laboratory, McDonald Institute for Archaeological Research, University of Cambridge Downing Street, Cambridge CB2 3ER, UK. mab1004@cam.ac.uk
Matthew Spencer
Shuichi Matsumura
R Ellen R Nisbet
Christopher J Howe

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forensic and ancient DNA (aDNA) extracts are mixtures of endogenous aDNA, existing in more or less damaged state, and contaminant DNA. To obtain the true aDNA sequence, it is not sufficient to generate a single direct sequence of the mixture, even where the authentic aDNA is the most abundant (e.g. 25% or more) in the component mixture. Only bacterial cloning can elucidate the components of this mixture. We calculate the number of clones that need to be sampled (for various mixture ratios) in order to be confident (at various levels of confidence) to have identified the major component. We demonstrate that to be >95% confident of identifying the most abundant sequence present at 70% in the ancient sample, 20 clones must be sampled. We make recommendations and offer a free-access web-based program, which constructs the most reliable consensus sequence from the user's input clone sequences and analyses the confidence limits for each nucleotide position and for the whole consensus sequence. Accepted authentication methods must be employed in order to assess the authenticity and endogeneity of the resulting consensus sequences (e.g. quantification and replication by another laboratory, blind testing, amelogenin sex versus morphological sex, the effective use of controls, etc.) and determine whether they are indeed aDNA.

Indexed as

Consensus SequenceFossilsCloning, MolecularDNA FingerprintingHumansPolymerase Chain ReactionSequence Analysis, DNASoftwareTemplates, Genetic

Identifiers

PMID15870386
PMCPMC1088305

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.