ArticleApplied and environmental microbiology2021
Population Informative Markers Selected Using Wright's Fixation Index and Machine Learning Improves Human Identification Using the Skin Microbiome.
Article in Applied and environmental microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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Who cites it
7 citing papers in PubMed.
- Forensic applications of the skin microbiome: a structured narrative review of donor association, contact inference, and crime-scene reconstruction.Frontiers in microbiology · 2026Review
- Artificial intelligence-driven microbiome data analysis for estimation of postmortem interval and crime location.Frontiers in microbiology · 2024Review
- Research progress on the application of 16S rRNA gene sequencing and machine learning in forensic microbiome individual identification.Frontiers in microbiology · 2024Review
- Highly host-linked viromes in the built environment possess habitat-dependent diversity and functions for potential virus-host coevolution.Nature communications · 2023Article
- Advances in machine learning-based bacteria analysis for forensic identification: identity, ethnicity, and site of occurrence.Frontiers in microbiology · 2023Review
- Determining Informative Microbial Single Nucleotide Polymorphisms for Human Identification.Applied and environmental microbiology · 2022Article
- Advances in microbial metagenomics and artificial intelligence analysis in forensic identification.Frontiers in microbiology · 2022Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microbial DNA, shed from human skin, can be distinctive to its host and, thus, help individualize donors of forensic biological evidence. Previous studies have utilized single-locus microbial DNA markers (e.g., 16S rRNA) to assess the presence/absence of personal microbiota to profile human hosts. However, since the taxonomic composition of the microbiome is in constant fluctuation, this approach may not be sufficiently robust for human identification (HID). Multimarker approaches may be more powerful. Additionally, genetic differentiation, rather than taxonomic distinction, may be more individualizing. To this end, the nondominant hands of 51 individuals were sampled in triplicate (
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Registered trials
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