Abstract: The present invention is directed to the treatment of chemical substance abuse and withdrawal symptoms, especially withdrawal symptoms associated with opioids, utilizing a combination of an effective amount of a cannabinoid, in particular, cannabidiol (CBD) and/or A9-tetrahydrocannabinol (THC) in combination with low dosage noribogaine or a derivative salt, solvate or ansolvate thereof to treat withdrawal symptoms, both acute and longer term.

Abstract: The LSAMP gene can be used for cardiovascular disease risk assessment, in particular Left Main Disease. The genetic risk attributable to LSAMP adds to known cardiovascular disease risk factors. Assessment of risk attributable to LSAMP permits early initiation of preventive and therapeutic strategies. Given the pronounced clinical risk associated with Left Main Disease, such risk assessment should significantly reduce morbidity and mortality.

Abstract: The invention relates to predicting, or aiding in predicting, which individuals are at risk of developing coronary artery disease. The invention provides a method for identifying an individual who has an altered risk for developing CAD. The invention further relates to methods of reducing the likelihood that a subject will develop CAD. The invention further provides reagents, nucleic acids and kits comprising nucleic acids containing a polymorphism in a CAD-determinative gene.

Abstract: The present invention relates, in general, to atherosclerosis and, in particular, to a method of treating atherosclerosis and to cells suitable for use in such a method.

Abstract: The LSAMP gene can be used for cardiovascular disease risk assessment, in particular Left Main Disease. The genetic risk attributable to LSAMP adds to known cardiovascular disease risk factors. Assessment of risk attributable to LSAMP permits early initiation of preventive and therapeutic strategies. Given the pronounced clinical risk associated with Left Main Disease, such risk assessment should significantly reduce morbidity and mortality.

Abstract: Genes whose expression is correlated with and determinant of an atherosclerotic phenotype are provided. Genes whose expression is correlated with and determinant of an atherosclerotic susceptibility are also provided. Also provided are methods of using the subject atherosclerotic determinant genes or the atherosclerotic susceptibility genes in diagnosis and treatment methods, as well as drug screening methods. In addition, reagents and kits thereof that find use in practicing the subject methods are provided. Also provided are methods of determining whether a gene is correlated with a disease phenotype, where correlation is determined using at least one parameter that is not expression level and is preferably determined using a binary prediction tree analysis.

Abstract: The present invention provides methods of identifying a subject having an increased or decreased risk of developing cardiovascular disease, comprising: a) correlating the presence of one or more genetic markers in chromosome 3q13.31 with an increased or decreased risk of developing cardiovascular disease; and b) detecting the one or more genetic markers of step (a) in the subject, thereby identifying the subject as having an increased or decreased risk of developing cardiovascular disease. Also provided are methods of identifying subjects with cardiovascular disease as having a good or poor prognosis, as well as methods of identifying effective treatment regimens for cardiovascular disease, based on correlation with genetic markers in chromosome 3q13.31.

Abstract: Genes whose expression is correlated with and determinant of an atherosclerotic phenotype are provided. Also provided are methods of using the subject atherosclerotic determinant genes in diagnosis and treatment methods, as well as drug screening methods. In addition, reagents and kits thereof that find use in practicing the subject methods are provided. Also provided are methods of determining whether a gene is correlated with a disease phenotype, where correlation is determined using at least one parameter that is not expression level and is preferably determined using a Bayesian analysis.