First postoperative day data was used to calculate the glucose variability adopting three hypothetical markers: difference between highest and lowest blood glucose level (GluDiff), SD of mean glucose (GluSD) and a group of patients having both hyper and hypoglycemia (GluHH).
Soluble RAGE levels have been identified as hypothetical markers of CVD, but, in this regard, there are sparse and conflicting data in the literature.
While the role of AGEs and their capacity to predict cardiovascular disease (CVD) in type 2 diabetic patients is now recognized, the published literature on other hypothetical markers, such as sRAGE and esRAGE, is sparse and conflicting.
As such, a hypothetical "cytoplasmic marker" was added to the dataset; alleles for this marker were assigned according to the maternal parent of each RIL.
The five linkage groups for each population and a hypothetical "cytoplasmic marker" were used for QTL mapping.
Using numerical integration for the RPB formula above, we calculated the RPB for various scenarios in which the hypothetical continuous markers have different OR for the cancer risk as shown in Table 2.
On a hypothetical basis, surrogate markers for optimal nutrition with regard to energy and protein provision have proposed to be the delivery of energy as measured by indirect calorimetry, and provision of 1.2 to 1.5 g of protein per kg of pre-admission weight for critically ill patients [ 1].
To understand quantitative trait and neutral marker divergence, hypothetical population genetic scenarios were simulated using parameters resembling the wild salmon population/hatchery strain differentiation.
