Evidence map›Paper›PMID 30953039›Full record

ReviewNature reviews. Genetics2019

Ancient pathogen genomics as an emerging tool for infectious disease research.

Maria A Spyrou, Kirsten I Bos, Alexander Herbig, Johannes Krause

Abstract readHistorical ArticleReview
In one paragraph

Review in Nature reviews. Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers.

0numbers the graph read from it
0cells of the map it votes in
118citing 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

118 citing papers in PubMed.

  1. Ancient DNA and Human Physiology.Physiology (Bethesda, Md.) · 2026
    Review
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  11. Resolving competing evolutionary histories in joint ancestral state reconstruction.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  12. Article
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  14. Review
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58 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Maria A SpyrouDepartment of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena, Germany. spyrou@shh.mpg.de.ORCID http://orcid.org/0000-0002-3615-3936
Kirsten I BosDepartment of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena, Germany.
Alexander HerbigDepartment of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena, Germany.
Johannes KrauseDepartment of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena, Germany. krause@shh.mpg.de.ORCID http://orcid.org/0000-0001-9144-3920

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past decade, a genomics revolution, made possible through the development of high-throughput sequencing, has triggered considerable progress in the study of ancient DNA, enabling complete genomes of past organisms to be reconstructed. A newly established branch of this field, ancient pathogen genomics, affords an in-depth view of microbial evolution by providing a molecular fossil record for a number of human-associated pathogens. Recent accomplishments include the confident identification of causative agents from past pandemics, the discovery of microbial lineages that are now extinct, the extrapolation of past emergence events on a chronological scale and the characterization of long-term evolutionary history of microorganisms that remain relevant to public health today. In this Review, we discuss methodological advancements, persistent challenges and novel revelations gained through the study of ancient pathogen genomes.

Indexed as

GenomeArchaeaBacteriaBiological EvolutionCommunicable DiseasesDNA, AncientFossilsGenomicsGlobal HealthHigh-Throughput Nucleotide SequencingHistory, 19th CenturyHistory, 21st CenturyHistory, AncientHistory, MedievalHumansPublic Health SurveillanceDNA, Ancient

Identifiers

PMID30953039
PMCPMC7097038

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.