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, 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 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 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 method and system are presented in which predisposition predictions are generated for an individual with respect to an attribute indicated in a query. The predictions are based on the identification of predisposing attribute combinations within the attribute profile of the individual and statistical results that indicate the strength of association of the identified attribute combinations with the query attribute.

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, system and database are presented in which attribute profiles containing pangenetic and non-pangenetic information are created and used to identify sets of attributes, including lifestyle attributes that are associated with a condition. The lifestyle attributes which can be modified and which result in a significant change in the probability of having the condition are identified and used as the basis for recommendations for lifestyle modification.

Abstract: A method, software, database and system for determining modifiable lifestyle attributes which when altered, can increase the longevity of an individual is presented. Based on an individual's pangenetic (genetic and epigenetic) attributes and by comparison with databases of attributes and longevity data, specific modifiable attributes which increase longevity, based on the individual's specific pangenetic makeup, can be identified.

Abstract: A system, method and software for healthcare selection are presented in which a user can authorize the comparison of their pangenetic (genetic and epigenetic) data with data profiles corresponding to health care products, services, and service providers to determine which are the most appropriate for a particular consumer. Data masks can be applied to limit the amount of pangenetic data transmitted for analysis.

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 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). Several computationally efficient approaches for identifying the bioattribute combinations are incorporated.

Abstract: A method, software, database and system for predicting the longevity of an individual and for determining an optimal insurance plan for an 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 known longevities and optimized insurance plans derived from other individuals.

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 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, 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 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 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: 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.