ArticleBMC genomics2020
Genome-wide association studies of Shigella spp. and Enteroinvasive Escherichia coli isolates demonstrate an absence of genetic markers for prediction of disease severity.
Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 20 citations in OpenAlex.
- Gut microbiota and metabolites in acute lung injury: mechanisms and therapeutic perspectives.Respiratory research · 2026Review
- Explainable AI-SERS approach for highly accurate discrimination ofCurrent research in microbial sciences · 2026Article
- Study on the characteristics and correlation of fecal microbiota and metabolites in patients with acute lung injury after cardiopulmonary bypass based on 16S rRNA sequencing and non-targeted metabolomics analysis.Frontiers in immunology · 2025Article
- Predicting acute lung injury in infants with congenital heart disease after cardiopulmonary bypass by gut microbiota.Frontiers in immunology · 2024Article
- Genomics and pathotypes of the many faces of Escherichia coli.FEMS microbiology reviews · 2022Article
- Genome wide association study of Escherichia coli bloodstream infection isolates identifies genetic determinants for the portal of entry but not fatal outcome.PLoS genetics · 2022Article
- Development of high-resolution melting (HRM) assay to differentiate the species of Shigella isolates from stool and food samples.Scientific reports · 2022Article
- Virulence Factors of Enteric PathogenicInternational journal of molecular sciences · 2021Review
- Rapid Increase of CTX-M-Producing Shigella sonnei Isolates in Switzerland Due to Spread of Common Plasmids and International Clones.Antimicrobial agents and chemotherapy · 2020Article
- Genome-wide association studies of Shigella spp. and Enteroinvasive Escherichia coli isolates demonstrate an absence of genetic markers for prediction of disease severity.BMC genomics · 2020Article
- Pathogenicity Factors of Genomic Islands in Intestinal and ExtraintestinalFrontiers in microbiology · 2020Review
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundWe investigated the association of symptoms and disease severity of shigellosis patients with genetic determinants of infecting Shigella and entero-invasive Escherichia coli (EIEC), because determinants that predict disease outcome per individual patient could be used to prioritize control measures. For this purpose, genome wide association studies (GWAS) were performed using presence or absence of single genes, combinations of genes, and k-mers. All genetic variants were derived from draft genome sequences of isolates from a multicenter cross-sectional study conducted in the Netherlands during 2016 and 2017. Clinical data of patients consisting of binary/dichotomous representation of symptoms and their calculated severity scores were also available from this study. To verify the suitability of the methods used, the genetic differences between the genera Shigella and Escherichia were used as control.
resultsThe isolates obtained were representative of the population structure encountered in other Western European countries. No association was found between single genes or combinations of genes and separate symptoms or disease severity scores. Our benchmark characteristic, genus, resulted in eight associated genes and > 3,000,000 k-mers, indicating adequate performance of the algorithms used.
conclusionsTo conclude, using several microbial GWAS methods, genetic variants in Shigella spp. and EIEC that can predict specific symptoms or a more severe course of disease were not identified, suggesting that disease severity of shigellosis is dependent on other factors than the genetic variation of the infecting bacteria. Specific genes or gene fragments of isolates from patients are unsuitable to predict outcomes and cannot be used for development, prioritization and optimization of guidelines for control measures of shigellosis or infections with EIEC.
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