Evidence map›Paper›PMID 17593420›Full record

ArticleJournal of molecular evolution2007

A statistical approach to identify ancient template DNA.

Agnar Helgason, Snaebjörn Pálsson, Carles Lalueza-Fox, Shyamali Ghosh, Sigrún Sigurdardóttir, Adam Baker, Birgir Hrafnkelsson, Lilja Arnadóttir, Unnur Thorsteinsdóttir, Kári Stefánsson

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Article in Journal of molecular evolution, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

11 citing papers in PubMed.

  1. Article
  2. Ancient mitochondrial DNA from the northern fringe of the Neolithic farming expansion in Europe sheds light on the dispersion process.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Article
  3. Mitochondrial DNA variation in the Viking age population of Norway.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Article
  4. Review
  5. Re-inventing ancient human DNA.Investigative genetics · 2015
    Article
  6. Separating endogenous ancient DNA from modern day contamination in a Siberian Neandertal.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

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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

10 authors.

Agnar HelgasondeCODE Genetics, Sturlugata 8, 101 Reykjavik, Iceland. agnar@decode.is
Snaebjörn Pálsson
Carles Lalueza-Fox
Shyamali Ghosh
Sigrún Sigurdardóttir
Adam Baker
Birgir Hrafnkelsson
Lilja Arnadóttir
Unnur Thorsteinsdóttir
Kári Stefánsson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the key problems in the study of ancient DNA is that of authenticating sequences obtained from PCR amplifications of highly degraded samples. Contamination of ancient samples and postmortem damage to endogenous DNA templates are the major obstacles facing researchers in this task. In particular, the authentication of sequences obtained from ancient human remains is thought by many to be rather challenging. We propose a novel approach, based on the c statistic, that can be employed to help identify the sequence motif of an endogenous template, based on a sample of sequences that reflect the nucleotide composition of individual template molecules obtained from ancient tissues (such as cloned products from a PCR amplification). The c statistic exploits as information the most common form of postmortem damage observed among clone sequences in ancient DNA studies, namely, lesion-induced substitutions caused by cytosine deamination events. Analyses of simulated sets of templates with miscoding lesions and real sets of clone sequences from the literature indicate that the c-based approach is highly effective in identifying endogenous sequence motifs, even when they are not present among the sampled clones. The proposed approach is likely to be of general use to researchers working with DNA from ancient tissues, particularly from human remains, where authentication of results has been most challenging.

Indexed as

DNA DamageModels, StatisticalPostmortem ChangesData Interpretation, StatisticalDNAHumansMitochondriaDNA

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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.