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- W2895890407 abstract "As a living information and communications system,the genome encodes patterns in single nucleotide polymorphisms (SNPs)reflecting human adaptation that optimizes population survival in differingenvironments. This paper mathematically models environmentally induced adaptiveforces that quantify changes in the distribution of SNP frequencies betweenpopulations. We make direct connections between biophysical methods (e.g.minimizing genomic free energy) and concepts in population genetics. Ourunbiased computer program scanned a large set of SNPs in the majorhistocompatibility complex region and flagged an altitude dependency on a SNPassociated with response to oxygendeprivation. The statistical power of our double-blind approach isdemonstrated in the flagging of mathematical functional correlations of SNPinformation-based potentials in multiple populations with specificenvironmental parameters. Furthermore, our approach provides insights for newdiscoveries on the biology of common variants. This paper demonstrates thepower of biophysical modeling of population diversity for better understandinggenome-environment interactions in biological phenomenon." @default.
- W2895890407 created "2018-10-26" @default.
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- W2895890407 date "2018-01-01" @default.
- W2895890407 modified "2023-09-24" @default.
- W2895890407 title "Mathematical Modeling the Biology of Single Nucleotide Polymorphisms (SNPs) in Whole Genome Adaptation" @default.
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- W2895890407 doi "https://doi.org/10.4236/abb.2018.910036" @default.
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