Abstract: Markers and methods useful for assessing coronary artery disease in a subject are provided, along with kits for measuring their expression. Also provided are predictive models, based on the markers, as well as computer systems, and software embodiments of the models for scoring and optionally classifying samples.

Abstract: Peripheral blood markers are provided whose expression levels correlate with smoking status. Predictive models developed using highly informative markers are disclosed, along with systems, kits, and methods for using the markers to provide a biochemical surrogate for a subject's smoking status. In some embodiments, the smoking-related disease is chronic obstructive pulmonary disease, chronic bronchitis, emphysema, lung cancer, and/or asthma.

Abstract: Markers and methods useful for assessing coronary artery disease in a subject are provided, along with kits for measuring their expression. Also provided are predictive models, based on the markers, as well as computer systems, and software embodiments of the models for scoring and optionally classifying samples.

Abstract: 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 LRRN3; or CD248, SLC1A7 and one, two, three or four of the group consisting of CCR7, B3GAT1, VSIG4 and LRRN3 are determined.

Abstract: Markers and methods useful for assessing coronary artery disease in a subject are provided, along with kits for measuring their expression. Also provided are predictive models, based on the markers, as well as computer systems, and software embodiments of the models for scoring and optionally classifying samples.

Abstract: Disclosed herein is a method of do terming the likelihood of a sudden cardiac event, such as an arrythmia, in a subject. Also disclosed is a method of determining whether a subject is at risk of a sudden cardiac event arid whether the subject would benefit from a treatment such as implantation of an ICD.

Abstract: 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.

Abstract: 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.