ISSN: 2641-9165
Authors: Alsufyani D1* and Lindesay J
A biophysical formulation that defines genomic potentials from the frequencies of allelic variants (SNPs) in homeostatic populations is utilized to examine potential correlations with quantified ancestral environmental parameters. Mathematical functions were autonomously fitted to blindly search for any significant correlation between these potentials and the environmental parameters, and the rate of change in any flagged genomic potential due to environmental migration (i.e., between populations) was determined. In this sense, we quantify the outcomes of the genomic optimization due to the human experiment of migratory adaptation. Out of over a hundred SNPs (mostly associated with autoimmune responses) as well as over twenty environmental parameters, the rs9310709 variant only flagged with average temperature. This demonstrates a quantifiable “adaptive force†that favors decreased conservation of the C (risk) allele in geographical regions with increasing average air temperature.
Keywords: Genodynamics; Adaptive force; Genomic information; Genomic variation; Human adaptation
