| 20120036101 | PREDICTIVE MODELS AND METHOD FOR ASSESSING AGE - Biomarkers useful for diagnosing and assessing physiological age are provided, along with kits for measuring their expression. The invention also provides predictive models, based on the biomarkers, as well as computer systems, and software embodiments of the models for scoring and optionally classifying samples. In a preferred embodiment, the biomarkers include a group of biomarkers whose expression levels are highly correlated to each other. In a preferred embodiment, expression levels of CD248; CD248 and SLC 1A7; CD248 and one, two, three or four of the group consisting of CCR7, B3GAT1, VSIG4 and LR-RN3; or CD248, SLC1A7 and one, two, three or four of the group consisting of CCR7, B3GAT1, VSIG4 and LRRN3 are determined. | 02-09-2012 |
| 20110184712 | PREDICTIVE MODELS AND METHODS FOR DIAGNOSING AND ASSESSING CORONARY ARTERY DISEASE - Biomarkers useful for diagnosing and assessing the extent of coronary artery disease (CAD) are provided, along with kits for measuring their expression. The invention also provides predictive models, based on the biomarkers, as well as computer systems, and software embodiments of the models for scoring and optionally classifying samples. In a preferred embodiment, the biomarkers are organized into clustered groups. The expression level of the biomarkers within a group are highly correlated to each other in normal and disease states. Expression values of genes chosen from each of two, three, four or five of the clustered gene groups, A, B, C, D, E may be used. Alternatively, expression values of genes chosen from the groups are combined into a metagene. Preferred biomarkers include S100A12, S100A8, S100A9, BCL2A1, and F5 (group A); XK, P62, and FECH (group B); TUBB2 (group C); IFNG, PDGFB, VSIG4, and TNF (group D); CSF3R, TLR5, CD46, and NCF1 (group E); S100A12, S100A9, BCL2A1, TXN and CSTA (group I); OLIG1, OLIG2, ADORA3, CLC, and SLC29A1 (group II); and CBS and ARG1 (group IV). | 07-28-2011 |
