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 genetic and non-genetic attributes that are statistically associated with successful treatment of the illness in other individuals.

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, 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 genetic and non-genetic attributes that are statistically associated with successful treatment of the illness in other individuals.

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: 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 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 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: 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: 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, 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, attribute partners can be identified, groups of individuals can be formed, associations between individuals can be determined, and attribute based information can be analyzed and referenced. Attributes, both genetic and non-genetic, can be analyzed and utilized not only for the basis of comparisons between individuals, but also to form groups based on overlapping genetic and non-genetic attributes.

Abstract: A method, software, database and system for determining an approach to achieve a desired lifestyle, behavioral disposition, and genetic based predisposition 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 relevant desirable or undesirable attributes derived from other individuals.

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 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 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 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 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: 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, software, database and system for determining optimal career choices, psychological profiles (i.e., mental health profiles) and genetic based predispositions of 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 career, psychological and other genetically influenced attributes derived from other individuals.

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, attribute partners can be identified, groups of individuals can be formed, associations between individuals can be determined, and attribute based information can be analyzed and referenced. Attributes, both genetic and non-genetic, can be analyzed and utilized not only for the basis of comparisons between individuals, but also to form groups based on overlapping genetic and non-genetic attributes.

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.