Abstract: A method and system for predisposition modification are presented in which a set of attributes for selective modification of the attribute profile of an individual are determined to enable the individual to modify their predisposition for acquiring an attribute of interest. The attribute of interest can be input in the form of a query attribute along with a minimum strength of association value which serves as a threshold to ensure that the results will provide at least a minimum degree of statistical certainty that the individual will acquire the attribute of interest upon modifying their attribute profile.

Abstract: A bioinformatics method, software, database and system are presented in which attribute profiles of query-attribute-positive individuals and query-attribute-negative individuals are compared, and combinations of pangenetic and non-pangenetic attributes that occur at a higher frequency in the group of query-attribute-positive individuals are identified and stored to generate a compilation of bioattribute combinations that co-associate with the query attribute (i.e., an attribute of interest).

Abstract: Computer based systems, methods, software and databases are presented in which correlations between web item preferences, behaviors and pangenetic (genetic and epigenetic) attributes of individuals are used for pangenetic based user behavior prediction in which predictions of a user's online behavior can be generated based on the user's pangenetic makeup. Data masking can be used to maintain privacy of sensitive portions of the pangenetic data.

Abstract: A method, system and device for secure mobile web transactions are presented in which a user can, from a mobile device, authorize the comparison of pangenetic (genetic and epigenetic) data and request pangenetic based web searches, online recommendation of web items, and web item satisfaction prediction in which the user receives personalized results based on their pangenetic makeup. Data masking can be used to maintain privacy of sensitive portions of the pangenetic data.

Abstract: Computer based systems, methods, software and databases are presented in which correlations between web items and pangenetic (genetic and epigenetic) attributes of individuals are used for pangenetic based web search in which a user can request and receive personalized web search results that are based on the user's pangenetic makeup. Data masking can be used to maintain privacy of sensitive portions of the pangenetic data.

Abstract: Computer based systems, methods, software and databases are presented in which correlations between web items and pangenetic (genetic and epigenetic) attributes of individuals are determined and stored to generate a pangenetic based item feedback matrix. The pangenetic item feedback matrix can be used in computer based systems for web search, online recommendation of web items, web item satisfaction prediction, and online user behavior prediction to provide personalized results based on a user's pangenetic makeup. Data masking can be used to maintain privacy of sensitive portions of the pangenetic data.

Abstract: Computer based systems, methods, software and databases are presented in which correlations between web item preferences and pangenetic (genetic and epigenetic) attributes of individuals are used for pangenetic based web item satisfaction prediction in which a user can request and receive online predictions of their satisfaction with web items that are based on the user's pangenetic makeup. Data masking can be used to maintain privacy of sensitive portions of the pangenetic data.

Abstract: Computer based systems, methods, software and databases are presented in which correlations between web item preferences and pangenetic (genetic and epigenetic) attributes of individuals are used for pangenetic based web item recommendation in which a user can request and receive personalized online recommendations of web items that are based on the user's pangenetic makeup. Data masking can be used to maintain privacy of sensitive portions of the pangenetic data.

Abstract: Computer based methods, systems and software for generating pangenetic based data profiles of services are presented in which pangenetic (genetic and epigenetic) features of consumers are correlated with outcomes experienced by the consumers with respect to those services. The pangenetic based profiles that are generated can be used to recommend the most appropriate services for future consumers based on comparisons of pangenetic features. Data masking is used to maintain privacy of sensitive portions of the pangenetic data.

Abstract: Computer based methods, systems and software for selecting services for a consumer are presented in which pangenetic (genetic and epigenetic) features of the consumer are correlated with pangenetic based data profiles of candidate services, and the most appropriate services for the consumer are selected or ranked based on the results of the correlation. Non-pangenetic features of the consumer, as well as preferred service features such as price and satisfaction rating, can be used in conjunction with the pangenetic correlation to determine the most appropriate services for the consumer. Data masking is used to maintain privacy of sensitive portions of the pangenetic data.

Abstract: A database for masked data transactions is presented in which data masks are applied to sensitive personal information so that non-masked portions of that information can be used in the selection of products, services and service providers for a consumer. In one application the database is utilized in the selection of healthcare products, services and providers based on pangenetic (genetic and epigenetic) and non-pangenetic information associated with the consumer.

Abstract: A computer based method and system for masked data record access are presented in which data masks are applied to sensitive personal information so that non-masked portions of that information can be used in the selection of products, services and service providers for a consumer. In one application the method and system are utilized in the selection of healthcare products, services and providers based on pangenetic (genetic and epigenetic) and non-pangenetic information associated with the consumer.

Abstract: A method, system and device for secure mobile healthcare selection are presented in which a user can, from a mobile device, authorize the comparison of pangenetic (genetic and epigenetic) data with data profiles corresponding to healthcare products, services and service providers to determine which are the most appropriate for a particular consumer. Data masking is used to maintain privacy of sensitive portions of the pangenetic data.

Abstract: A method for secure mobile healthcare selection is presented in which a user can, from a mobile device, authorize the comparison of pangenetic (genetic and epigenetic) data with data profiles corresponding to healthcare products, services and service providers to determine which are the most appropriate for a particular consumer. Data masking is used to maintain privacy of sensitive portions of the pangenetic data.

Abstract: Computer based methods, systems and software for generating pangenetic based data profiles of service providers are presented in which pangenetic (genetic and epigenetic) features of consumers are correlated with outcomes experienced by the consumers with respect to those providers. The pangenetic based profiles that are generated can be used to recommend the most appropriate service providers for future consumers based on comparisons of pangenetic features. Data masking is used to maintain privacy of sensitive portions of the pangenetic data.

Abstract: Computer based methods, systems and software for selecting service providers for a consumer are presented in which pangenetic (genetic and epigenetic) features of the consumer are correlated with pangenetic based data profiles of candidate providers, and the most appropriate providers for the consumer are selected or ranked based on the results of the correlation. Non-pangenetic features of the consumer, as well as preferred service provider features such as location, pricing and satisfaction rating, can be used in conjunction with the pangenetic correlation to determine the most appropriate service providers for the consumer. Data masking is used to maintain privacy of sensitive portions of the pangenetic data.

Abstract: A method and system for predicting attribute side effects of predisposition modification are presented in which a set of attributes for predisposition modification of an individual is used to modify the individual's attribute profile to generate a modified attribute profile. A set of attribute combinations is compared against the modified attribute profile in order to identify those attribute combinations from the set that also occur in the modified attribute profile. Candidate side effect attributes that are statistically associated with the identified attribute combinations, but not present in the modified attribute profile, are stored as predicted side effect attributes that would result from the intended predisposition modification of the individual.

Abstract: A bioinformatics method, software, database and system for predicting side effects resulting from predisposition modification are presented in which a set of attributes is used to modify an individual's attribute profile to generate a modified attribute profile. The modified attribute profile is compared against a predetermined set of attribute combinations that are statistically associated with one or more candidate side effect attributes. Attribute combinations from the set that also occur in the modified attribute profile are identified, and those candidate side effect attributes that are statistically associated with the identified attribute combinations are stored as a set of predicted side effect attributes resulting from modification of the individual's attribute profile.

Abstract: A bioinformatics method, software, database and system are presented in which attributes that modify an individual's predisposition for association with a query attribute (i.e., an attribute of interest) are identified. A minimum strength of association value serves as a statistical threshold to ensure the results will provide at least a minimum degree of certainty that the individual will acquire an association with the query attribute upon modifying their attribute profile with the identified attributes.

Abstract: A method and system are presented in which a query attribute is used as the basis for accessing stored attribute combinations and their frequencies of occurrence for query-attribute-positive individuals and query-attribute-negative individuals and tabulating, based on frequencies of occurrence, those attribute combinations that are most likely to co-occur with the query attribute.