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Evidence of cancer-linked rodent zoonoses from biophysical genomic variations

As a mechanism to explore the role of environmental adaptation in establishing the optimal distribution of single nucleotide polymophisms (SNPs) within resident homeostatic populations, relationships between quantified environmental parameters and the frequencies of the variants are being explored....

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Autores principales: Alsufyani, Daniah, Lindesay, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460378/
https://www.ncbi.nlm.nih.gov/pubmed/37634038
http://dx.doi.org/10.1038/s41598-023-41257-4
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author Alsufyani, Daniah
Lindesay, James
author_facet Alsufyani, Daniah
Lindesay, James
author_sort Alsufyani, Daniah
collection PubMed
description As a mechanism to explore the role of environmental adaptation in establishing the optimal distribution of single nucleotide polymophisms (SNPs) within resident homeostatic populations, relationships between quantified environmental parameters and the frequencies of the variants are being explored. We have performed sequential double-blind scans on more than 30% of chromosome 3 in an attempt to discover possible relationships using simple mathematical functions that are indicative of “adaptive forces” on the variants due to specific quantified environmental agents. We have found an association of rs13071758 with rodent zoonotic diseases. This variant is within the FHIT gene, which spans the most fragile of the common fragile sites in human lymphoblasts. FHIT, which is highly sensitive to environmental carcinogens, is partially lost in most human cancers. This finding is consistent with other studies postulating an association between rodent zoonoses and cancer. We quantify the adaptive force on the T allele as 0.28 GEUs per unit of zoonotic rodent host richness.
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spelling pubmed-104603782023-08-28 Evidence of cancer-linked rodent zoonoses from biophysical genomic variations Alsufyani, Daniah Lindesay, James Sci Rep Article As a mechanism to explore the role of environmental adaptation in establishing the optimal distribution of single nucleotide polymophisms (SNPs) within resident homeostatic populations, relationships between quantified environmental parameters and the frequencies of the variants are being explored. We have performed sequential double-blind scans on more than 30% of chromosome 3 in an attempt to discover possible relationships using simple mathematical functions that are indicative of “adaptive forces” on the variants due to specific quantified environmental agents. We have found an association of rs13071758 with rodent zoonotic diseases. This variant is within the FHIT gene, which spans the most fragile of the common fragile sites in human lymphoblasts. FHIT, which is highly sensitive to environmental carcinogens, is partially lost in most human cancers. This finding is consistent with other studies postulating an association between rodent zoonoses and cancer. We quantify the adaptive force on the T allele as 0.28 GEUs per unit of zoonotic rodent host richness. Nature Publishing Group UK 2023-08-26 /pmc/articles/PMC10460378/ /pubmed/37634038 http://dx.doi.org/10.1038/s41598-023-41257-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Alsufyani, Daniah
Lindesay, James
Evidence of cancer-linked rodent zoonoses from biophysical genomic variations
title Evidence of cancer-linked rodent zoonoses from biophysical genomic variations
title_full Evidence of cancer-linked rodent zoonoses from biophysical genomic variations
title_fullStr Evidence of cancer-linked rodent zoonoses from biophysical genomic variations
title_full_unstemmed Evidence of cancer-linked rodent zoonoses from biophysical genomic variations
title_short Evidence of cancer-linked rodent zoonoses from biophysical genomic variations
title_sort evidence of cancer-linked rodent zoonoses from biophysical genomic variations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460378/
https://www.ncbi.nlm.nih.gov/pubmed/37634038
http://dx.doi.org/10.1038/s41598-023-41257-4
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