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 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 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: 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: 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: 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: 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, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individual who might benefit from being connected.

Abstract: A method and system for computer based destiny modification are presented in which a set of attributes associated with an individual is compared against attribute combinations that are statistically associated with a query attribute, the query attribute representing an attribute which may desirable for the individual to have, or which may be undesirable for the individual have. Based on the comparison, changes to the set of attributes associated with the individual are indicated and can then be implemented to increase/decrease the potential of the individual to acquire (an association with) the query attribute.

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.

Abstract: A method and system for determining attribute associations are presented in which primary attributes in an attribute profile are used to derive secondary attributes which are added to the attribute profile to create expanded attribute profile. A statistical association between a query attribute and attribute combinations occurring in the expanded attribute profile is determined.

Abstract: A bioinformatics method, software, database and system for compiling attribute combinations that co-associate with a query attribute (i.e., an attribute of interest) are presented in which expanded attribute profiles associated with a group of query-attribute-positive individuals and expanded attribute profiles associated with a group of query-attribute-negative individuals are accessed, and combinations of attributes having a higher frequency of occurrence in the set of expanded attribute profiles associated with the group of query-attribute-positive individuals are identified and stored to generate a compilation of attribute combinations that co-associate with the query attribute.

Abstract: A method and system are presented in which stored attribute combinations and statistical results that indicate the strength of association of each attribute combination with the query attribute are accessed, and attribute combinations and their strength of association with the query attribute are tabulated based on the statistical results.

Abstract: A method, software, database and system for determining an optimal treatment for an illness in an individual and for determining the impact (e.g., side effects and intended benefits) of the treatment in the individual are presented in which an attribute profile of the individual containing genetic and non-genetic attributes is compared against a database containing combinations of genetic and non-genetic attributes that are statistically associated with successful treatment of the illness in other individuals.

Abstract: A method and system for expanding attribute profiles are presented in which primary attributes from one or more attribute profiles are used to derive secondary attributes which are added to the respective attribute profiles to generate expanded attribute profiles. The expanded attribute profiles are generated to increase the strength of association of a query attribute with one or more attribute profiles associated with query-attribute-positive individuals.

Abstract: A bioinformatics method, software, database and system are presented in which an expanded attribute profile is used to determine the strength of association between an individual and a query attribute (i.e., an attribute of interest). Primary attributes in an attribute profile of the individual are used as the basis for deriving lower resolution secondary attributes which are added to the attribute profile to create an expanded attribute profile. The strength of association between the individual and the query attribute is determined based on the identification of one or more attribute combinations in the expanded attribute profile that also occur in a dataset containing attribute combinations that are statistically associated with the query attribute.