<unk>  (FMIE) is an emerging area of medicine that entails the study of pathogen genes and genomes in the context of their<unk>  association with the host niches (adhesion, invasion, adaptation) and the complex interactions they trigger within the host immune system (cell signaling, apoptosis) to culminate in varied outcomes of the<unk> . This can also be defined as the correlation of genetic variations in a pathogen or its respective host with a unique function that is important for disease severity, disease progression, or host susceptibility to a particular pathogen.<unk><unk>  implies not only descriptive host-pathogen genomic associations, but rather the interplay between pathogen and host genomic variations to<unk> ly demonstrate the role of the genetic variations during<unk> .<unk>  differs from classical<unk><unk><unk>  mainly in that the latter deals with the tagging and tracking of the<unk> s agent without much concern for the<unk> /phenotypic characteristics of the agent being tracked.<unk><unk><unk> , on the other hand, lays more emphasis on genotypic and phenotypic correlates of host-pathogen interaction, adaptation or homeostasis. Furthermore, classical<unk><unk>  largely uses “neutral” markers, such as insertion sequences and intergenic elements, while<unk><unk><unk>  harnesses<unk> ly relevant markers such as SNPs and genome co-ordinates with putative roles in<unk>  biology – both on the pathogen and the host side. Many studies have been conducted which fit the theme of FMIE - for example, acquisition and transmission of the Mycobacterium avium subsp. paratuberculosis and its role in the development of Type-1 diabetes mellitus when human gene SLC11A1 undergoes particular mutations in a susceptible host. The concept of FMIE has become potentially relevant in the aftermath of multiple genome sequencing and resequencing of important bacterial pathogens from many different host/patient populations. A consortium of scientists in India and Germany is (Project BRIDGE) already formed under the aegis of the Freie University in Berlin and the University of Hyderabad to explore and investigate the application of FMIE in public health and Veterinary arena as a part of the DFG funded project - GRK1673 under the joint leadership of Lothar H. Wieler (Free University of Berlin) and Niyaz Ahmed (University of Hyderabad).
Functional molecular infection epidemiology
Molecular pathological epidemiology
Animal testing on rodents
Laboratory developed test
VIOLIN vaccine database
HIV disease progression rates
Clinical metagenomic sequencing
Mathematical modelling of infectious disease