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Genodynamics: A New Biophysical Approach to Modeling Adaptation in Human Populations

Received: 3 March 2019     Accepted: 9 May 2019     Published: 13 June 2019
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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.

Published in American Journal of Physics and Applications (Volume 7, Issue 2)
DOI 10.11648/j.ajpa.20190702.15
Page(s) 61-67
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Population Diversity, Modeling Whole Genome Adaptation, SNP Information Dynamics, Genodynamics, Natural Selection in Human Populations

References
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Cite This Article
  • APA Style

    Tshela Elizabeth Mason, James Lindesay, Georgia Mae Dunston. (2019). Genodynamics: A New Biophysical Approach to Modeling Adaptation in Human Populations. American Journal of Physics and Applications, 7(2), 61-67. https://doi.org/10.11648/j.ajpa.20190702.15

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    ACS Style

    Tshela Elizabeth Mason; James Lindesay; Georgia Mae Dunston. Genodynamics: A New Biophysical Approach to Modeling Adaptation in Human Populations. Am. J. Phys. Appl. 2019, 7(2), 61-67. doi: 10.11648/j.ajpa.20190702.15

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    AMA Style

    Tshela Elizabeth Mason, James Lindesay, Georgia Mae Dunston. Genodynamics: A New Biophysical Approach to Modeling Adaptation in Human Populations. Am J Phys Appl. 2019;7(2):61-67. doi: 10.11648/j.ajpa.20190702.15

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  • @article{10.11648/j.ajpa.20190702.15,
      author = {Tshela Elizabeth Mason and James Lindesay and Georgia Mae Dunston},
      title = {Genodynamics: A New Biophysical Approach to Modeling Adaptation in Human Populations},
      journal = {American Journal of Physics and Applications},
      volume = {7},
      number = {2},
      pages = {61-67},
      doi = {10.11648/j.ajpa.20190702.15},
      url = {https://doi.org/10.11648/j.ajpa.20190702.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajpa.20190702.15},
      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.},
     year = {2019}
    }
    

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    T1  - Genodynamics: A New Biophysical Approach to Modeling Adaptation in Human Populations
    AU  - Tshela Elizabeth Mason
    AU  - James Lindesay
    AU  - Georgia Mae Dunston
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    PY  - 2019
    N1  - https://doi.org/10.11648/j.ajpa.20190702.15
    DO  - 10.11648/j.ajpa.20190702.15
    T2  - American Journal of Physics and Applications
    JF  - American Journal of Physics and Applications
    JO  - American Journal of Physics and Applications
    SP  - 61
    EP  - 67
    PB  - Science Publishing Group
    SN  - 2330-4308
    UR  - https://doi.org/10.11648/j.ajpa.20190702.15
    AB  - 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.
    VL  - 7
    IS  - 2
    ER  - 

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Author Information
  • The National Human Genome Center, Howard University, Washington, USA

  • The National Human Genome Center, Howard University, Washington, USA

  • The National Human Genome Center, Howard University, Washington, USA

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