Wellness Multiomics KG version 1.7.2

<b>Description</b>: The Wellness Multiomics KG, created and maintained by the Multiomics Provider, provides observational knowledge derived through computation of correlations between many blood analytes. The original multiomic dataset was created through a wellness study that monitored the blood analytes and general <i>wellness</i> of a cohort of individuals that were largely healthy. Edges in this KG represent significant correlations between pairs of analytes.<b>Example</b>: The Wellness Multiomics KG shows that the level of mercury observed in blood is strongly (positively) correlated with the level of docosahexanoic acid (DHA), a lipid found in fish and fish oil supplements. This correlation is consistent with mercury intake from contaminated fish. The strength of the correlation (Spearman rho) is 0.527, with p-value of 3E-221, as observed among N = 3197 individuals. The correlation is stronger among males (rho = 0.557, N = 1310) than among women (rho = 0.505, N = 1885). There is also an age dependence, with stronger correlation among individuals younger than 35 (rho = 0.588, N = 540) than among those between 35 and 55 (rho = 0.532, N = 1723) and those older than 55 (rho = 0.479, N = 932).<b>Key methodologic metrics provided on edges</b>: The KG presents, for each correlation, statistical metrics like the strength of the correlation (Spearman rho), the p-value (Bonferroni-corrected for multiple testing), the number of individuals that contributed to the calculation (N), and details on what stratification was used, if any.