Evidence of cancer-linked rodent zoonoses from biophysical genomic variations

Abstract 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 e...

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Main Authors: Daniah Alsufyani, James Lindesay
Format: Article
Language:English
Published: Nature Portfolio 2023-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-41257-4
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author Daniah Alsufyani
James Lindesay
author_facet Daniah Alsufyani
James Lindesay
author_sort Daniah Alsufyani
collection DOAJ
description Abstract 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 doaj.art-096d61ac2656480fb810a8c736d5de8c2023-11-26T13:15:58ZengNature PortfolioScientific Reports2045-23222023-08-011311710.1038/s41598-023-41257-4Evidence of cancer-linked rodent zoonoses from biophysical genomic variationsDaniah Alsufyani0James Lindesay1College of Sciences and Health Professions, King Saud Bin Abdulaziz University for Health SciencesComputational Physics Laboratory, Department of Physics, Howard UniversityAbstract 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.https://doi.org/10.1038/s41598-023-41257-4
spellingShingle Daniah Alsufyani
James Lindesay
Evidence of cancer-linked rodent zoonoses from biophysical genomic variations
Scientific Reports
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
url https://doi.org/10.1038/s41598-023-41257-4
work_keys_str_mv AT daniahalsufyani evidenceofcancerlinkedrodentzoonosesfrombiophysicalgenomicvariations
AT jameslindesay evidenceofcancerlinkedrodentzoonosesfrombiophysicalgenomicvariations