Andrew John Pollard

The paper develops a mathematical model to predict vaccine replacement dynamics in Streptococcus pneumoniae and identifies optimal genomic surveillance strategies.

This study identifies genetic loci associated with pneumococcal carriage in children through a genome-wide association analysis.

This study characterizes the global population structure and genetic diversity of serotype 12F Streptococcus pneumoniae, identifying strand-slippage mutations as a mechanism for capsule variation and vaccine evasion.

This study identifies innate antiviral readiness as a key driver of TSCM cell expansion, showing its predictive value for viral clearance and vaccine design.

This study shows that typhoid toxin from Salmonella Typhi triggers DNA damage responses, leading to antimicrobial effects like lysozyme secretion that inhibit bacterial virulence.

The paper introduces TyphiNET, a dashboard for exploring Typhi genomics data to support public health decisions on antimicrobial resistance and vaccine implementation.

The paper identifies a 5-transcript signature in blood samples that distinguishes bacterial from viral pneumonia with high accuracy.

This study links hypoxia-related immune subsets in human and mouse models of Salmonella Typhi infection to disease outcomes.

This paper introduces RGStraP, a tool to infer genetic population structure from RNAseq data and shows it can control for population structure in gene expression analyses.

The paper identifies genetic variants and HLA types associated with susceptibility to enteric fever in human volunteers challenged with Salmonella.

The paper reconstructs the evolutionary histories of antibiotic-resistant pneumococcal lineages PMEN3 and PMEN9, showing how interspecies recombination contributes to antibiotic resistance and serotype switching.

SIMON is an open-source platform that enables biomedical researchers to apply machine learning algorithms to high-dimensional data without requiring advanced programming skills.

The paper investigates how technical noise affects bulk RNA-seq differential gene expression analysis and proposes noise-adjustment methods to improve consistency across tools.

The paper identifies a host gene signature using machine learning to distinguish enteric fever from other febrile diseases with high accuracy.

The paper identifies an association between the HLA-DQA1*01:03 allele and increased risk of invasive group A streptococcal disease using case-control studies and HLA imputation.

This study identifies distinct lipidomic changes in febrile children with bacterial vs. viral infections, showing potential for metabolic biomarkers to aid in clinical diagnosis.

The paper reports new RPSA mutations causing isolated congenital asplenia, including 5-UTR mutations and incomplete penetrance in some cases.

This study analyzes Salmonella isolates from Nepali children to assess antimicrobial resistance and inform vaccine policy.