Abstract: The present invention relates to single nucleotide polymorphism (SNP). In particular, it relates to a SNP within an intronic p53 binding motif of the PRKAG2. Nucleic acid molecules and methods for aiding assessment of a patient's risk of developing cancer by determining the patient's genotype for a p53 binding motif within the PRKAG2 gene are included in the present invention.

Abstract: The present invention relates to a method for processing and/or providing genomic, proteomic, biochemical, and/or metabolic information collected from at least one subject wherein the processing and/or providing of the information is under the control of the subject. There is also provided an apparatus and a system for processing and/or providing of genomic, proteomic, biochemical, and/or metabolic information.

Abstract: The present invention provides methods, compositions and kits for the prognosis, characterization and treatment of cancers. The methods, compositions and kits of the invention comprise a set of markers whose expression is correlated with estrogen receptor beta function. Therefore, the methods, compositions and kits of the invention find particular use in endocrine-related cancers such as breast cancers.

Abstract: The present disclosure provides methods for classifying ovarian tumors into BRCA1-type, BRCA2-type or non-BRCA-type tumor types by measuring expression levels of a plurality of disclosed ovarian tumor markers. The markers disclosed herein are useful in the diagnosis, staging, detection, and/or treatment of ovarian cancer. Also provided are methods of selecting a treatment regimen by selecting the tumor type. Ovarian cancer-linked logarithmic expression ratios and kits for diagnosis, staging, and detection of ovarian cancer using are also provided.