Genodynamics: A New Biophysical Approach to Modeling Adaptation in Human Populations
American Journal of Physics and Applications
Volume 7, Issue 2, March 2019, Pages: 61-67
Received: Mar. 3, 2019; Accepted: May 9, 2019; Published: Jun. 13, 2019
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Authors
Tshela Elizabeth Mason, The National Human Genome Center, Howard University, Washington, USA
James Lindesay, The National Human Genome Center, Howard University, Washington, USA; Computational Physics Laboratory, Department of Physics and Astronomy, Howard University, Washington, USA
Georgia Mae Dunston, The National Human Genome Center, Howard University, Washington, USA; Computational Physics Laboratory, Department of Physics and Astronomy, Howard University, Washington, USA
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Abstract
Using genodynamics, the Howard University biophysics research and interdisciplinary development group transforms genomic sequence data into genomic energy measures to explore the science of genome variation in population diversity and human biology. Genodynamics utilizes the statistical distribution of single nucleotide polymorphism (SNP) data from the Haplotype Map project to mathematically model whole genome-environment interactions in human adaptation to environmental stressors/stimuli by functionally parameterizing the interplay between the biophysical and environmental factors in a quantifiable manner. Our double-blind computer program flagged smooth mathematical function relationships between allelic energies of two SNPs in intron one of the egl-9 family hypoxia inducible factor 1 (EGLN1) and the environmental parameter averaged ancestral annual ultraviolet radiation exposure. EGLN1 is a gene on chromosome 1 known to play an essential role in the regulation of the hypoxia inducible factor pathway. We have demonstrated that our genodynamics approach can quantify, through adaptive forces, the effects that environmental stressors/stimuli have had on patterns of common variation in the human genome and by doing so offer an alternative means of investigating the implications of SNP information dynamics on natural selection in human populations.
Keywords
Population Diversity, Modeling Whole Genome Adaptation, SNP Information Dynamics, Genodynamics, Natural Selection in Human Populations
To cite this article
Tshela Elizabeth Mason, James Lindesay, Georgia Mae Dunston, Genodynamics: A New Biophysical Approach to Modeling Adaptation in Human Populations, American Journal of Physics and Applications. Vol. 7, No. 2, 2019, pp. 61-67. doi: 10.11648/j.ajpa.20190702.15
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Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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