Lindesay James, Mason Tshela E, Hercules William, Dunston Georgia M
Computational Physics Laboratory, Department of Physics and Astronomy, Howard University, Washington, DC, 20059, U.S.
National Human Genome Center, Howard University, Washington, DC, 20060, U.S.
J Comput Biol Bioinform Res. 2014 Nov;6(1).
Single nucleotide polymorphisms (SNPs) represent an important type of dynamic sites within the human genome. These common variants often locally correlate within more complex multi-SNP haploblocks that are maintained throughout generations in a stable population. Information encoded in the structure of SNPs and SNP haploblock variation can be characterized through a normalized information content metric. Genodynamics is being developed as the analogous "thermodynamics" characterizing the state variables for genomic populations that are stable under stochastic environmental stresses. Since living systems have not been found to develop in the absence of environmental influences, this paper describes the analogous genomic free energy metrics in a given environment. SNP haploblocks were constructed by Haploview v4.2 for five chromosomes from phase III HapMap data, and the genomic state variables for each chromosome were calculated. An analysis was performed on SNP haploblocks with the lowest genomic energy measures. Highly favorable genomic energy measures were found to correlate with highly conserved SNP haploblocks. Moreover, the most conserved haploblocks were associated with an evolutionarily conserved regulatory element and domain.
单核苷酸多态性(SNPs)是人类基因组中一种重要的动态位点类型。这些常见变异通常在更复杂的多SNP单倍型块内局部相关,这些单倍型块在稳定群体中代代相传得以维持。SNPs结构和SNP单倍型块变异中编码的信息可以通过归一化信息含量指标来表征。基因动力学正在被开发为类似的“热力学”,用于表征在随机环境压力下稳定的基因组群体的状态变量。由于尚未发现生命系统能在没有环境影响的情况下发展,本文描述了给定环境中类似的基因组自由能指标。利用Haploview v4.2软件根据国际人类基因组单体型图计划(HapMap)第三阶段数据构建了五条染色体的SNP单倍型块,并计算了每条染色体的基因组状态变量。对基因组能量测量值最低的SNP单倍型块进行了分析。发现高度有利的基因组能量测量值与高度保守的SNP单倍型块相关。此外,最保守的单倍型块与进化上保守的调控元件和结构域相关。