Host genetics and microbiota data analysis in colorectal cancer research.


Journal

Advances in genetics
ISSN: 0065-2660
Titre abrégé: Adv Genet
Pays: United States
ID NLM: 0370421

Informations de publication

Date de publication:
2024
Historique:
medline: 14 10 2024
pubmed: 14 10 2024
entrez: 13 10 2024
Statut: ppublish

Résumé

Colorectal cancer (CRC) is a heterogeneous disease with a complex aetiology influenced by a myriad of genetic and environmental factors. Despite advances in CRC research, it is a major burden of disease, with the second highest incidence and third leading cause of cancer deaths worldwide. To individualise diagnosis, prognosis, and treatment of CRC, developing new strategies combining precision medicine and bioinformatic procedures is promising. Precision medicine is based on omics technologies and aims to individualise the management of CRC based on patient host genetic characteristics and microbiota. Bioinformatics is central to the application of personalised medicine because it enables the analysis of large datasets generated by these technologies. At the level of host genetics, bioinformatics allows the identification of mutations, genes, molecular pathways, biomarkers and drugs relevant to colorectal carcinogenesis. At the microbiota level, bioinformatics is fundamental to analysing microbial communities' composition and functionality and developing biomarkers and personalised microbiota-based therapies. This paper explores the host and microbiota genetic data analysis in CRC research.

Identifiants

pubmed: 39396840
pii: S0065-2660(24)00028-2
doi: 10.1016/bs.adgen.2024.08.007
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

31-81

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Adriana González (A)

Hologenomics Research Group, Department of Genetics, Physical Anthropology, and Animal Physiology, University of the Basque Country, Spain.

Asier Fullaondo (A)

Hologenomics Research Group, Department of Genetics, Physical Anthropology, and Animal Physiology, University of the Basque Country, Spain.

Adrian Odriozola (A)

Hologenomics Research Group, Department of Genetics, Physical Anthropology, and Animal Physiology, University of the Basque Country, Spain. Electronic address: adrian.odriozola@ehu.eus.

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Classifications MeSH