Genome-wide association studies of Shigella spp. and Enteroinvasive Escherichia coli isolates demonstrate an absence of genetic markers for prediction of disease severity.
Amber C A HendriksFrans A G ReubsaetA M D Mirjam Kooistra-SmidJohn W A RossenBas E DutilhAldert L ZomerMaaike J C van den Beldnull nullPublished in: BMC genomics (2020)
To 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.
Keyphrases
- escherichia coli
- genome wide
- end stage renal disease
- genome wide association
- ejection fraction
- chronic kidney disease
- newly diagnosed
- copy number
- peritoneal dialysis
- genome wide identification
- prognostic factors
- type diabetes
- staphylococcus aureus
- early onset
- skeletal muscle
- depressive symptoms
- pseudomonas aeruginosa
- cystic fibrosis
- klebsiella pneumoniae
- weight loss
- multidrug resistant
- genetic diversity
- genome wide association study