ReviewNature reviews. Genetics2017
Microbial genome-wide association studies: lessons from human GWAS.
Review in Nature reviews. Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers, 1 of them a synthesis that pooled it.
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.
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
169 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Design and methodology challenges of environment-wide association studies: A systematic review.Environmental research · 2020Pooled it
- Genome shuffling enables quantitative trait locus mapping in Bacillus subtilis.Nature communications · 2026Article
- ALPAR: automated learning pipeline for antimicrobial resistance.Bioinformatics (Oxford, England) · 2026Article
- Integrated Genome-Wide Association Study and Machine Learning Approach for Characterizing the Determinants of Biofilm Formation in Staphylococcus aureus.Interdisciplinary sciences, computational life sciences · 2026Article
- A genome-wide association study to identify the genetic loci underlying carbapenem resistance in Acinetobacter baumannii.BMC genomics · 2026Article
- A versatile multi-components mixed model for bacterial-Genome Wide association studies.Nature communications · 2026Article
- Reducing mapping reference and lineage bias inMicrobial genomics · 2026Article
- Capsular specificity in temperate phages of Klebsiella pneumoniae is driven by diverse receptor-binding enzymes.PLoS biology · 2026Article
- BaGPipe: an automated, reproducible, and flexible pipeline for bacterial genome-wide association studies.BMC microbiology · 2026Article
- Genomic comparison and phenotypic characterization ofmSystems · 2026Article
- Article
- Genome co-adaptation and the evolution of methicillin resistant Staphylococcus aureus.Genome biology · 2026Article
- Genomic variants distinguish Pseudomonas aeruginosa from cystic fibrosis sputum and bloodstream infection.BMC infectious diseases · 2026Article
- Genomic and Phenotypic Bases of Salt Tolerance in Sinorhizobium meliloti: Candidate Traits for Bioinoculant Development Addressing Saline Soils.Microbial biotechnology · 2026Article
- Partially connected neural networks for complex trait prediction: application to human height.Human genetics · 2025Article
- Whole genome sequence analysis ofiScience · 2025Article
- Biased sampling driven by bacterial population structure confounds machine learning prediction of antimicrobial resistance.PLoS biology · 2025Article
- Article
- Bacterial Systematic Genetics and Integrated Multi-Omics: Beyond Static Genomics Toward Predictive Models.International journal of molecular sciences · 2025Review
- Mapping genetic and phenotypic diversity ofbioRxiv : the preprint server for biology · 2025Article
109 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The reduced costs of sequencing have led to whole-genome sequences for a large number of microorganisms, enabling the application of microbial genome-wide association studies (GWAS). Given the successes of human GWAS in understanding disease aetiology and identifying potential drug targets, microbial GWAS are likely to further advance our understanding of infectious diseases. These advances include insights into pressing global health problems, such as antibiotic resistance and disease transmission. In this Review, we outline the methodologies of GWAS, the current state of the field of microbial GWAS, and how lessons from human GWAS can direct the future of the field.
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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.