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The most significant variance proportion is observed for FTO in combination with RYR1, LIPE and TGFB1 in the multi-locus model for back fat depth, whereas for meat area on m.l.l.t., and the metabolic trait G6P in fat tissue, it is highest in the single- and multi-locus models, respectively.
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The ratio of arachidonic acid to eicosapentaenoic acid + docosahexaenoic acid contributed the most significant GxE variance to the total variance of fasting glucose (27.0%, P-nominal = 0.023).
In GOLDN, docosapentaenoic acid (DPA) contributed the most significant GxE variance to the total phenotypic variance of both HOMA-IR (26.5%, P-nominal = 0.034) and fasting insulin (24.3%, P-nominal = 0.042).
Three, for a given T2D-related trait, our study sought to identify a corresponding n-3 PUFA that contributed the most significant GxE variance for each trait.
Analysis of variance for the RSQM revealed that temperature was the most significant variable, followed by [TAED] and time, while [NaHCO3] was insignificant.
As such, stool sampling, which clearly demonstrates interpersonal variability, captures this most significant component of variance.
The most significant source of variance is explained by a Physical component and the second major source of variance is a Cognitive component.
It can be used in the reduction of a multiple linear regression model process, identifying those terms in the original model that explain the most significant amount of variance.
GBLUP showed the lowest peak and the most significant decay in genetic variance.
The leukemia and 'mesenchymal' components of the data sets also appear to be the most significant features that explain the variance of the GI50 data, though the second 'mesenchymal' component explained only 0.9% of the variance.
In particular, both the correlation analysis and regression tree analysis indicated that the area of red pine tree forest cover was the most significant factor in explaining the variance of burn severity.
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