Abstract: The present disclosure provides methods of determining the risk of a subject having or developing a cancer based on the affinity of the subjects MHC-II alleles for oncogenic mutations, methods for improving cancer diagnosis, and kits comprising agents that detect the oncogenic mutations in a subject.

Abstract: The present invention relates to processes, systems and methods for estimating the effects of genetic polymorphisms associated with traits and diseases, based on distributions of observed effects across multiple loci. In particular, the present invention provides systems and methods for analyzing genetic variant data including estimating the proportion of polymorphisms truly associated with the phenotypes of interest, the probability that a given polymorphism has a true association with the phenotypes of interest, and the predicted effect size of a given genetic variant in independent de novo samples given effect size distributions in observed samples. The present invention also relates to using the described systems and methods and use of genetic polymorphisms across a plurality of loci and a plurality of phenotypes to diagnose, characterize, optimize treatment and predict diseases and traits.

Abstract: Embodiments of the present invention provide an integrated methodology that simplifies upgrade choices for complex computer products through the use of automation and integration of product monitoring and business applications with, for example, web based capabilities. Historical information for computer systems is collected and transmitted to a remote support system. Over time, sufficient historical data provides a historical view of the systems indicative of usage and facilitating the choice of product enhancements, upgrades and customization. Further, this historical view may be integrated with the advances in the product that are kept by the remote support system as well as with the performance requirements of third party application providers.

Abstract: A method, apparatus, system, and signal-bearing medium that in an embodiment recommend an offering to a client based on inventory data received from a client, a condition, and a threshold. The client provides the inventory data, which in various embodiments may be an inventory of hardware and/or software installed at the client and/or an inventory of data that describes performance characteristics and/or a trend of the client. In this way, an offering, such as an offer to provide goods or services, can be targeted to the client based on the specific needs of the client.