Side effects prediction using co-associating bioattributes

A computer program tangibly embodied on a non-transitory computer readable medium which, when read by the computer, causes execution of a series of steps by said computer having an input device, a processor, a memory, and an output device, where said steps are a bioinformatics method for predicting future side effects that result from modifying an attribute profile of an individual, comprising:

• a) accessing a previously modified attribute profile, wherein the previously modified attribute profile comprises an attribute profile of an individual that has been previously modified as to a set of pre-existing attributes associated with that individual, wherein the identity of the individual is masked or anonymized;
• b) accessing a set containing attribute combinations and corresponding statistical results that indicate the strength of association of each of the attribute combinations with one or more candidate side effect attributes, wherein each of the attribute combinations comprises at least one pangenetic attribute and at least one non-pangenetic attribute, and wherein the one or more candidate side effect attributes comprise pangenetic attributes and non-pangenetic attributes that do not occur in the previously modified attribute profile, the candidate side effect attributes being filtered to exclude user specified attributes;
• c) said processor identifying attribute combinations contained in the dataset that also occur in the previously modified attribute profile;
• d) transmitting one or more candidate side effect attributes that are statistically associated with the identified attribute combinations as output, to generate a set of predicted cumulative future side effect attributes that result from modifying the attribute profile of the individual, wherein the candidate side effect attributes transmitted as output are transmitted as a rank-ordered tabulation containing corresponding statistical results that indicate:
• i) the strength of association of the candidate side effect attributes in the tabulation with the identified attribute combinations, and
• ii) the individual's potential for association with each of the predicted cumulative future side effect attributes;
• e) updating the modified attribute profile with the predicted cumulative future side effect attributes;
• f) repeating steps (a)-(e) until no further attribute combinations can be identified in step (c);
• and
• g) compiling the predicted cumulative future side effect attributes into at least two subgroups corresponding to desirable and undesirable side effects.

A bioinformatics database system, including a computer having a data input device, a processor, a memory, and a data output device, for predicting future side effects that result from modifying an attribute profile of an individual, comprising:

• a) said memory containing:
• i) a first data structure containing a previously modified attribute profile, wherein the previously modified attribute profile comprises an attribute profile of an individual that has been previously modified as to a set of pre-existing attributes associated with that individual, wherein the identity of the individual is masked or anonymized, wherein each of the attribute combinations comprises at least one pangenetic attribute and at least one non-pangenetic attribute, and wherein the one or more candidate side effect attributes comprise pangenetic attributes and non-pangenetic attributes that do not occur in the previously modified attribute profile, the candidate side effect attributes being filtered to exclude user specified attributes;
• ii) a second data structure in said memory containing attribute combinations and corresponding statistical results that indicate the strength of association of each of the attribute combinations with one or more candidate side effect attributes;
• b) said processor further:
• i) accessing the first data structure;
• ii) accessing the second data structure;
• iii) identifying attribute combinations contained in the second data structure that also occur in the previously modified attribute profile contained in the first data structure:
• iv) transmitting through said output device one or more candidate side effect attributes that are statistically associated with the identified attribute combinations as output, to generate a set of predicted cumulative future side effect attributes that result from modifying the attribute profile of the individual, wherein the candidate side effect attributes transmitted as output are transmitted as a rank-ordered tabulation containing corresponding statistical results that indicate:
• (a) the strength of association of the candidate side effect attributes in the tabulation with the identified attribute combinations, and
• (b) the individual's potential for association with each of the predicted cumulative future side effect attributes;
• v) updating the modified attribute profile with the predicted cumulative future side effect attributes;
• vi) repeating steps (i)-(iv) until no further attribute combinations can be identified in step (iii);
• and
• vii) compiling the predicted cumulative future side effect attributes into at least two subgroups corresponding to desirable and undesirable side effects.

A bioinformatics computer-based system, including a computer having a data input device, a processor, a memory, and a data output device, for predicting side effects that result from modifying an attribute profile of an individual, comprising:

• a) said processor comprising a first data accessing subsystem for accessing a previously modified attribute profile contained in said memory, wherein the previously modified attribute profile comprises an attribute profile of an individual that has been previously modified as to a set of pre-existing attributes associated with that individual, wherein the identity of the individual is masked or anonymized;
• b) said processor also comprising a second data accessing subsystem for accessing a set in said memory containing attribute combinations and corresponding statistical results that indicate the strength of association of each of the attribute combinations with one or more candidate side effect attributes, wherein each of the attribute combinations comprises at least one pangenetic
• attribute and at least one non-pangenetic attribute, and wherein the one or more candidate side effect attributes comprise pangenetic attributes and non-pangenetic attributes that do not occur in the modified attribute profile, the candidate side effect attributes being filtered to exclude user specified attributes;
• c) said processor identifying attribute combinations contained in the set that also occur in the previously modified attribute profile;
• and
• d) said output device comprising a data communications subsystem for transmitting one or more candidate side effect attributes that are statistically associated with the identified attribute combinations as output, to generate a set of predicted cumulative future side effect attributes that result from modifying the attribute profile of the individual, wherein the candidate side effect attributes transmitted as output are transmitted as a rank-ordered tabulation containing corresponding statistical results that indicate:
• i) the strength of association of the candidate side effect attributes in the tabulation with the identified attribute combinations, and
• ii) the individual's potential for association with each of the predicted cumulative future side effect attributes;
• e) updating the modified attribute profile with the predicted cumulative future side effect ,attributes;
• f) repeating steps (a)-(e) until no further attribute combinations can be identified in step (c);
• and
• g) compiling the predicted cumulative future side effect attributes into at least two subgroups corresponding to desirable and undesirable side effects.