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A repeated measures ANOVA for RTs including factors GROUP PGG vs. OG) * RISK (high-risk vs. low-risk) did not show any significant GROUP-related main effects, and GROUP * RISK interaction.
This method when applied to a synthetic problem, as a proof-of- concept, demonstrates the robustness of the proposed approach in tackling risk interaction that arises from the cascading effects of development disruptions and clearly illustrates that the propagating effects depend not only on SoS architecture, but on development failure rates of participating systems as well.
Furthermore, some degree of epistatic risk interaction was also seen between rs17793678 (TYR) and rs1510521 (ADAMTS20) when considering rare alleles at both loci.
With increasingly complex genetic risk interaction models, results from many downstream analyses are at stake when misassigned alleles snowball.
This indicated, that male status increased the risk of T cell ALL, but carrying an allele of rs1143684 slightly decreased the risk (interaction tag: p = 0.039, OR = 0.565, C.I. 95%: 0.33 – 0.33).
When birth-weight for gestation was included as a continuous variable there was no birth-weight by genetic risk interaction effect although there was a slight trend (β=−0.048, P=0.096) (n=861).
Similar(53)
This paper presents an approach based on network theory to deal with risk interactions in large engineering projects.
A particular attention has to be given to the risk interactions between the cogeneration plant and the industrial facility it is supplying with heat and electricity (e.g. tritium contamination in industrial processes, explosion of flammable products in industrial site).
Complex disease may be caused by high-order risk interactions between or within genes.
Growing evidences have supported the existence of higher-order risk interactions between or within genes to cause common and complex diseases [ 33, 38, 39].
On exposure to drug interactions important and moderate risk occurred, respectively, in 78% and 86%, identifying the association contraindicated in 34% of patients of a positive correlation between length of stay in the ICU and exposure to important risk interactions (r = 0.53, P = 0.00006) and moderate risk interactions (r = 0.34, P = 0.013).
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