ArticleGenome medicine2014
Characterizing the genetic basis of bacterial phenotypes using genome-wide association studies: a new direction for bacteriology.
Article in Genome medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.
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.
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.
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Who cites it
78 citing papers in PubMed, 130 citations in OpenAlex.
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- Skin Infection Pathogenicity Associated with a Canine Microbiome Resident: Polygenic Architecture of Virulence Factors inAntibiotics (Basel, Switzerland) · 2026Article
- A versatile multi-components mixed model for bacterial-Genome Wide association studies.Nature communications · 2026Article
- Pathological convergence of a bacterial plant pathogen is associated with the horizontal transfer of an effector-containing mobile element.BMC genomics · 2026Article
- Revisiting bioluminescence and sucrose utilization in aquatic pathogens Vibrio harveyi and V. campbellii using genome-wide in silico mapping and phenotyping.Scientific reports · 2026Article
- Whole genome sequence analysis ofiScience · 2025Article
- GWAS Study Applied to Phenotypically Slow Growth Strains ofMicroorganisms · 2025Article
- Bacterial genome-wide association studies: exploring the genetic variation underlying bacterial phenotypes.Applied and environmental microbiology · 2025Review
- EasyOmics: A graphical interface for population-scale omics data association, integration, and visualization.Plant communications · 2025Article
- A Comprehensive Overview of Antibacterial Agents for Combating Multidrug-Resistant Bacteria: The Current Landscape, Development, Future Opportunities, and Challenges.Antibiotics (Basel, Switzerland) · 2025Review
- A genome-wide investigation ofFrontiers in microbiology · 2025Article
- Unitig-centered pan-genome machine learning approach for predicting antibiotic resistance and discovering novel resistance genes in bacterial strains.Computational and structural biotechnology journal · 2024Article
- The wound microbiota: microbial mechanisms of impaired wound healing and infection.Nature reviews. Microbiology · 2024Review
- Intraspecific variation in antibiotic resistance potential withinMicrobiology spectrum · 2024Article
- Intergenomic signatures of coevolution between Tasmanian devils and an infectious cancer.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Genome-Wide Association Studies (GWAS) Approaches for the Detection of Genetic Variants Associated with Antibiotic Resistance: A Systematic Review.Microorganisms · 2023Review
- Bacterial SNPs in the human gut microbiome associate with host BMI.Nature medicine · 2023Article
- Complex Regulation of Gamma-Hemolysin Expression Impacts Staphylococcus aureus Virulence.Microbiology spectrum · 2023Article
- From genotype to phenotype: computational approaches for inferring microbial traits relevant to the food industry.FEMS microbiology reviews · 2023Review
18 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
Genome-wide association studies (GWASs) have become an increasingly important approach for eukaryotic geneticists, facilitating the identification of hundreds of genetic polymorphisms that are responsible for inherited diseases. Despite the relative simplicity of bacterial genomes, the application of GWASs to identify polymorphisms responsible for important bacterial phenotypes has only recently been made possible through advances in genome sequencing technologies. Bacterial GWASs are now about to come of age thanks to the availability of massive datasets, and because of the potential to bridge genomics and traditional genetic approaches that is provided by improving validation strategies. A small number of pioneering GWASs in bacteria have been published in the past 2 years, examining from 75 to more than 3,000 strains. The experimental designs have been diverse, taking advantage of different processes in bacteria for generating variation. Analysis of data from bacterial GWASs can, to some extent, be performed using software developed for eukaryotic systems, but there are important differences in genome evolution that must be considered. The greatest experimental advantage of bacterial GWASs is the potential to perform downstream validation of causality and dissection of mechanism. We review the recent advances and remaining challenges in this field and propose strategies to improve the validation of bacterial GWASs.
Identifiers
What OpenQuestion holds
Registered trials
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.