P-1791. Understanding Clinical Application of Whole Genome Sequencing for Antimicrobial Resistance

Abstract Background Antimicrobial resistance (AR) remains a growing global concern, as detailed by U.S. Centers for Disease Control and Prevention (CDC) in the 2021-2022 “Antimicrobial Resistance Threats in the United States” report. Whole genome sequencing (WGS) is a powerful tool for enhancing our capacity to better address increasing threats of antimicrobial-resistant pathogens. However, integration of WGS and analysis into routine clinical microbiology laboratory testing is still evolving. Methods We conducted a literature review to identify documented use cases of WGS data for patient management of antimicrobial-resistant bacterial healthcare-associated infections. The review was completed on PubMed using combinations of pre-defined key terms including “whole genome sequencing”, “antibiotic resistance”, “clinical management”, and “(Gram positive or Gram negative)”. The search was limited to articles published from 2020-2025 that covered a specific example of WGS data relating to understanding patient management. Results Out of 27 total articles, 15 environmental and agricultural studies were excluded. These 12 articles covered Gram-positive and Gram-negative bacteria, causing various infections. All studies included a WGS component and some evaluation of AR, although the specific antibiotics evaluated varied. Few studies (n=3) evaluated a clinical outcome. Four papers discussed potential impact in patient management. However, this was not done in real-time. In most studies (n=10), WGS aided in detecting novel resistance patterns, enhancing our understanding of these mechanisms, and improving genotype-phenotype correlations for antibiotic susceptibility. Conclusion These studies support that real-time WGS has the potential to be a powerful tool for clinical management in treating Gram-negative AR infections, providing rapid and precise genetic insights to guide antibiotic selection. There is an urgent need for development of standardized guidelines to allow labs to integrate WGS as a clinical test. Additionally, WGS contributes to protecting the public’s health by expanding our understanding of emerging resistance mechanisms and advancing the field’s ability to track and respond to AR threats. Disclosures All Authors: No reported disclosures

Authors

Institutions

Publication Details

Journal
Open Forum Infectious Diseases
Published
2026-01-01
DOI
https://doi.org/10.1093/ofid/ofaf695.1960
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

P-1791. Understanding Clinical Application of Whole Genome Sequencing for Antimicrobial Resistance

Alison Laufer Halpin, Samantha Giffen
Open Forum Infectious Diseases
Antibiotic Resistance in Bacteria
article

P-1791. Understanding Clinical Application of Whole Genome Sequencing for Antimicrobial Resistance

Alison Laufer Halpin, Samantha Giffen
article en

Abstract

Abstract Background Antimicrobial resistance (AR) remains a growing global concern, as detailed by U.S. Centers for Disease Control and Prevention (CDC) in the 2021-2022 “Antimicrobial Resistance Threats in the United States” report. Whole genome sequencing (WGS) is a powerful tool for enhancing our capacity to better address increasing threats of antimicrobial-resistant pathogens. However, integration of WGS and analysis into routine clinical microbiology laboratory testing is still evolving. Methods We conducted a literature review to identify documented use cases of WGS data for patient management of antimicrobial-resistant bacterial healthcare-associated infections. The review was completed on PubMed using combinations of pre-defined key terms including “whole genome sequencing”, “antibiotic resistance”, “clinical management”, and “(Gram positive or Gram negative)”. The search was limited to articles published from 2020-2025 that covered a specific example of WGS data relating to understanding patient management. Results Out of 27 total articles, 15 environmental and agricultural studies were excluded. These 12 articles covered Gram-positive and Gram-negative bacteria, causing various infections. All studies included a WGS component and some evaluation of AR, although the specific antibiotics evaluated varied. Few studies (n=3) evaluated a clinical outcome. Four papers discussed potential impact in patient management. However, this was not done in real-time. In most studies (n=10), WGS aided in detecting novel resistance patterns, enhancing our understanding of these mechanisms, and improving genotype-phenotype correlations for antibiotic susceptibility. Conclusion These studies support that real-time WGS has the potential to be a powerful tool for clinical management in treating Gram-negative AR infections, providing rapid and precise genetic insights to guide antibiotic selection. There is an urgent need for development of standardized guidelines to allow labs to integrate WGS as a clinical test. Additionally, WGS contributes to protecting the public’s health by expanding our understanding of emerging resistance mechanisms and advancing the field’s ability to track and respond to AR threats. Disclosures All Authors: No reported disclosures

Open Forum Infectious DiseasesVol. 13(Supplement_1)
Centers for Disease Control and Prevention (US), CDC Foundation (US)
Zero hunger
Openalex Percentile: Top 92%
Antibiotic Resistance in Bacteria
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.