For lung cancer, imputation models included information on age, sex, deprivation, tumour type, tumour grade, histological verification status and Primary Care Trust and survival.
Well-curated models include information about the dependency of each reaction on proteins and genes, which is called Gene-Protein-Reaction associations (GPR).
For (female) breast cancer, imputation models included information on age, deprivation, tumour type, screening detection status, tumour grade, oestrogen receptor status, histological verification status, Primary Care Trust and survival.
The PROCAM and the Framingham models include information about diabetes (yes/no) but this does not sufficiently map the potential impact of blood glucose on CVD [ 16, 17].
Similarly, many models include information (e.g. associated pathway/subsystem for a reaction) in the tag, which is simply unstructured plain text from the parser's point of view, and creates parsing problems for all SBML parsers.
Those models include information about the proband (that is, disease status and age of diagnosis) and family history, which is categorized into n types, according to the number of relatives with cancer (BC or OC) and the age of diagnosis.
We tested three types of mediation models (all models included information about handedness and gender (Dart, 2002; Schank et al., 2007)) as follows: –Model 1 tested whether HRV mediates the effect of age on RSFA, where age was the independent variable, HRV was the mediator and RSFA was the dependent variable (green colour paths in Fig. 8 ).
This is in line with a simulation study that showed that an across-country model G for dairy cattle yielded higher accuracies than a model including information from only one country [ 22].
The reason is that in step (1), for a Gibbs sampler, the liability above has to be conditioned on all other parameters of the model, including information from the other horses.
