Molecular Epidemiology Overview

Principles

Definition

Molecular epidemiology is an interdisciplinary field that integrates advanced molecular and cellular laboratory methods into population-based epidemiological studies. It investigates the molecular basis of disease etiology, progression, and susceptibility by examining interactions between genetic factors, environmental exposures, and other biological determinants at the molecular level. Utilizing molecular biomarkers in biological specimens, this approach aims to elucidate disease mechanisms, identify risk factors, enhance disease classification, and inform targeted prevention and intervention strategies, thereby advancing precision public health and disease control.

Ontological type

Core Methods

Biomarker Types

Study Design

Key developments

Key Figures

Clonal Typing era

Françoise Portaels [1] was a leading figure in the clonal typing era of molecular epidemiology (1989–1995), with activity across institutions such as Lund University [3] and Université Libre de Bruxelles [4]. Her key contributions in this era include the 1995 paper Predominance of a single genotype of Mycobacterium tuberculosis in countries of east Asia [5], which helped establish that a single genotype could predominate across regions and underscored the epidemiologic value of standardized fingerprinting for inferring clonality. Dick van Soolingen [2] emerged as a central figure in this era, with collaborations across European laboratories including Lund University [3] and Université Libre de Bruxelles [4]. Dick van Soolingen [2], along with Portaels, contributed to demonstrating clonal lineages and the predominance of particular genotypes in tuberculosis, as exemplified by the 1995 paper [5], providing foundational support for standardized DNA-based typing and cross-laboratory outbreak attribution in this era.

Genome-Scale Comparative Genomics era

Dick van Soolingen [1] was associated with Radboud University Nijmegen [3] and the University of Amsterdam [4] during this era. His key contributions include the 1997 study Simultaneous detection and strain differentiation of Mycobacterium tuberculosis for diagnosis and epidemiology [7], which advanced molecular epidemiology by enabling simultaneous detection and differentiation of TB strains to inform surveillance and outbreak investigations. Nicholas R. Thomson [2] was affiliated with the University of Cambridge [5] and Sorbonne Université [6] in this era. His contribution centered on the 2008 work The Pangenome Structure of Escherichia coli: Comparative Genomic Analysis of E. coli Commensal and Pathogenic Isolates [8], which framed the pan-genome concept and demonstrated how gene-content diversity across strains can illuminate transmission and emergence in genome-scale epidemiology.

Real-Time Genomic Surveillance era

Ole Lund [1] operated across the Technical University of Denmark [3] and the University of Copenhagen [4] during the Real-Time Genomic Surveillance era. His contributions in this era, illustrated by the 2014 paper Real-Time Whole-Genome Sequencing for Routine Typing, Surveillance, and Outbreak Detection of Verotoxigenic Escherichia coli [6], advanced real-time genome-based typing and outbreak detection, enabling near-instant surveillance and informing infection-control decisions. Frank M. Aarestrup [2] contributed to real-time genomic surveillance through roles at Ghent University [5] and the Technical University of Denmark [3], with the same 2014 paper [6] exemplifying his work in rapid sequencing for routine typing and outbreak detection in public health. These combined efforts reflect the era's aim to embed sequencing into public-health decision-making and clinical workflows for precision outbreak response.