title: Single Nucleotide Polymorphisms: A Window into the Informatics of the Living Genome.
abstract: Nested in the environment of the nucleus of the cell, the 23 sets of chromosomes that comprise the human genome function as one integrated whole system, orchestrating the expression of thousands of genes underlying the biological characteristics of the cell, individual and the species. The extraction of meaningful information from this complex data set depends crucially upon the lens through which the data are examined. We present a biophysical perspective on genomic information encoded in single nucleotide polymorphisms (SNPs), and introduce metrics for modeling information encoded in the genome. Information, like energy, is considered to be a conserved physical property of the universe. The information structured in SNPs describes the adaptation of a human population to a given environment. The maintained order measured by the information content is associated with entropies, energies, and other state variables for a dynamic system in homeostasis. "Genodynamics" characterizes the state variables for genomic populations that are stable under stochastic environmental stresses. The determination of allelic energies allows the parameterization of specific environmental influences upon individual alleles across populations. The environment drives population-based genome variation. From this vantage point, the genome is modeled as a complex, dynamic information system defined by patterns of SNP alleles and SNP haplotypes.
authors: Department of Microbiology, Howard University, Washington DC, USA ; National Human Genome Center, Howard University, Washington DC, USA.
authors: Georgia M
authors: GM
authors: Dunston
authors: National Human Genome Center, Howard University, Washington DC, USA.
authors: Tshela E
authors: TE
authors: Mason
authors: Computational Physics Laboratory, Howard University, Washington DC, USA.
authors: William
authors: W
authors: Hercules
authors: Computational Physics Laboratory, Howard University, Washington DC, USA.
authors: James
authors: J
authors: Lindesay
keywords: Allelic Energies; Biophysical Metrics; Genodynamics; Genomic Information; SNPs
references: J Comput Biol Bioinform Res. 2012 Feb;4(2):15-22
references: 24478921