Evidence map›Paper›PMID 30044822›Full record

ArticlePloS one2018

Minor taxa in human skin microbiome contribute to the personal identification.

Hikaru Watanabe, Issei Nakamura, Sayaka Mizutani, Yumiko Kurokawa, Hiroshi Mori, Ken Kurokawa, Takuji Yamada

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Microbial genomics: a potential toolkit for forensic investigations.Forensic science, medicine, and pathology · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Shotgun Metagenomics Reveals Minor Micro"International journal of molecular sciences · 2024
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
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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

7 authors.

Hikaru WatanabeSchool of Life Science and Technology, Tokyo Institute of Technology, Ookayama, Meguro-ku, Japan.
Issei NakamuraSchool of Life Science and Technology, Tokyo Institute of Technology, Ookayama, Meguro-ku, Japan.
Sayaka MizutaniResearch Fellow of Japan Society for the Promotion of Science, Ookayama, Meguro-ku, Japan.
Yumiko KurokawaEducation Academy of Computational Life Science, Tokyo Institute of Technology, Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa, Japan.
Hiroshi MoriCenter for Information Biology, National Institute of Genetics, Yata, Mishima, Shizuoka, Japan.
Ken KurokawaSchool of Life Science and Technology, Tokyo Institute of Technology, Ookayama, Meguro-ku, Japan.
Takuji YamadaSchool of Life Science and Technology, Tokyo Institute of Technology, Ookayama, Meguro-ku, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human skin microbiome can vary over time, and inter-individual variability of the microbiome is greater than the temporal variability within an individual. The skin microbiome has become a useful tool to identify individuals, and one type of personal identification using the skin microbiome has been reported in a community of less than 20 individuals. However, identification of individuals based on the skin microbiome has shown low accuracy in communities larger than 80 individuals. Here, we developed a new approach for personal identification, which considers that minor taxa are one of the important factors for distinguishing between individuals. We originally established a human skin microbiome for 66 samples from 11 individuals over two years (33 samples each year). Our method could classify individuals with 85% accuracy beyond a one-year sampling period. Moreover, we applied our method to 837 publicly available skin microbiome samples from 89 individuals and succeeded in identifying individuals with 78% accuracy. In short, our results investigate that (i) our new personal identification method worked well with two different communities (our data: 11 individuals; public data: 89 individuals) using the skin microbiome, (ii) defining the personal skin microbiome requires samples from several time points, (iii) inclusion of minor skin taxa strongly contributes to the effectiveness of personal identification.

Indexed as

ClassificationMicrobiotaRecordsAdultFemaleHumansHydrogen-Ion ConcentrationMaleSebumSkinYoung Adult

Identifiers

PMID30044822
PMCPMC6059399

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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.