Evidence map›Paper›PMID 22697611›Full record

ReviewGenetics, selection, evolution : GSE2012

Ancient DNA studies: new perspectives on old samples.

Ermanno Rizzi, Martina Lari, Elena Gigli, Gianluca De Bellis, David Caramelli

Erratum issuedAbstract readReview
In one paragraph

Review in Genetics, selection, evolution : GSE, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Ancient Diseases in Vertebrates: Tumours through the Ages.Animals : an open access journal from MDPI · 2024
    Review
  6. Review
  7. Mesoamerican urbanism revisited: Environmental change, adaptation, resilience, persistence, and collapse.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Back to the Origins: Background and Perspectives of Grapevine Domestication.International journal of molecular sciences · 2021
    Review
  12. Article
  13. Review
  14. Ancient dental pulp: Masterpiece tissue for paleomicrobiology.Molecular genetics & genomic medicine · 2020
    Review
  15. Article
  16. Article
  17. Review
  18. ARIADNA: machine learning method for ancient DNA variant discovery.DNA research : an international journal for rapid publication of reports on genes and genomes · 2018
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

5 authors.

Ermanno RizziInstitute for Biomedical Technologies, National Research Council, Via F.lli Cervi 93, Segrate, Milan 20090, Italy.
Martina Lari
Elena Gigli
Gianluca De Bellis
David Caramelli

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In spite of past controversies, the field of ancient DNA is now a reliable research area due to recent methodological improvements. A series of recent large-scale studies have revealed the true potential of ancient DNA samples to study the processes of evolution and to test models and assumptions commonly used to reconstruct patterns of evolution and to analyze population genetics and palaeoecological changes. Recent advances in DNA technologies, such as next-generation sequencing make it possible to recover DNA information from archaeological and paleontological remains allowing us to go back in time and study the genetic relationships between extinct organisms and their contemporary relatives. With the next-generation sequencing methodologies, DNA sequences can be retrieved even from samples (for example human remains) for which the technical pitfalls of classical methodologies required stringent criteria to guaranty the reliability of the results. In this paper, we review the methodologies applied to ancient DNA analysis and the perspectives that next-generation sequencing applications provide in this field.

Indexed as

Evolution, MolecularAnimalsBase SequenceCell NucleusDNA DamageDNA, MitochondrialExtinction, BiologicalGenome, HumanHumansMitochondriaPolymerase Chain ReactionSequence Analysis, DNATime FactorsDNA, Mitochondrial

Identifiers

PMID22697611
PMCPMC3390907

What OpenQuestion holds

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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.