Previous studies on the human microbiome (the collective genomes
of the microbiota) have shown that gut dysbiosa (imbalance) is associated with
increased incidences of colon cancer. However, there is still a lot of unknown
about the correlation between the two. A new data drive- computational approach
has been taken to better understand the gene-environment interaction in
carcinogenesis to find the possibility of colon cancer (CRC) diagnosis,
treatment, and prevention. Data was pulled for CRC associated genes from three
databases and also from Molecular
signature databases. While there were
some limitations to this study, the data
driven computational method was used to
show association. For instance, a disease name or a list of associates genes
are inputted and the output is a resulting list of associated microbial
metabolites. It’s an interesting start for micro biome-gene interaction.
The article from Nature can be found here
Sam
(Nature review 2/3)
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