The receiver operating characteristics curves for miR-15a and for the multiple marker model are shown in Fig. 3.
A standard marker model was applied, and data were collected using a ten camera motion capture system (Vicon, Centennial CO , USA and four force platforms (AMTI, Watertown, MA, USA) as the subjects ambulated at a self-selected velocity along a 10-m walkway [4].
The OTS system consistently showed more abduction than the RSA system, which may be due to the fact that the knee-joint center in our marker model is not perfectly aligned with the RSA system.
Within each block all one- and two-marker models were evaluated for association with the phenotype; the markers from the best model (based on the Bayesian Information Criterion (BIC) values) were selected for further consideration.
The results from the three-marker model are basically consistent with those from the two-marker model (Table 4).
The advantage of the three-marker model is that it incorporates the interferences between adjacent marker intervals into the estimation process and, thus, can potentially increase the estimation precision of haplotype effects.
A multi-marker model was developed which accurately distinguished lung cancer cases from high risk smokers.
The accuracy of the 8-marker model was tested in an independent study (Mayo Clinic).
While the 8-marker model was found to be substantially correlated with nodule size (r = 0.739; p < 0.0001), it was not associated with any of the other clinicopathological variables tested: age, sex, smoking history (unpublished data).
An 8-marker model was developed (TFPI, MDK, OPN, MMP2, TIMP1, CEA, CYFRA 21 1, SCC) which accurately distinguished subjects with lung cancer (n = 50) from high risk smokers (n = 50) in an independent validation study (AUC = 0.775).
