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Genome-wide host-pathogen analyses reveal genetic interaction points in tuberculosis disease

The genetics underlying tuberculosis (TB) pathophysiology are poorly understood. Human genome-wide association studies have failed so far to reveal reproducible susceptibility loci, attributed in part to the influence of the underlying Mycobacterium tuberculosis (Mtb) bacterial genotype on the outco...

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Detalles Bibliográficos
Autores principales: Phelan, Jody, Gomez-Gonzalez, Paula Josefina, Andreu, Nuria, Omae, Yosuke, Toyo-Oka, Licht, Yanai, Hideki, Miyahara, Reiko, Nedsuwan, Supalert, de Sessions, Paola Florez, Campino, Susana, Sallah, Neneh, Parkhill, Julian, Smittipat, Nat, Palittapongarnpim, Prasit, Mushiroda, Taisei, Kubo, Michiaki, Tokunaga, Katsushi, Mahasirimongkol, Surakameth, Hibberd, Martin L., Clark, Taane G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9892022/
https://www.ncbi.nlm.nih.gov/pubmed/36725857
http://dx.doi.org/10.1038/s41467-023-36282-w
Descripción
Sumario:The genetics underlying tuberculosis (TB) pathophysiology are poorly understood. Human genome-wide association studies have failed so far to reveal reproducible susceptibility loci, attributed in part to the influence of the underlying Mycobacterium tuberculosis (Mtb) bacterial genotype on the outcome of the infection. Several studies have found associations of human genetic polymorphisms with Mtb phylo-lineages, but studies analysing genome-genome interactions are needed. By implementing a phylogenetic tree-based Mtb-to-human analysis for 714 TB patients from Thailand, we identify eight putative genetic interaction points (P < 5 × 10(−8)) including human loci DAP and RIMS3, both linked to the IFNγ cytokine and host immune system, as well as FSTL5, previously associated with susceptibility to TB. Many of the corresponding Mtb markers are lineage specific. The genome-to-genome analysis reveals a complex interactome picture, supports host-pathogen adaptation and co-evolution in TB, and has potential applications to large-scale studies across many TB endemic populations matched for host-pathogen genomic diversity.