Career Selection and Psychological Profiling

• US 20170053089A1
• Filed: 10/19/2016
• Published: 02/23/2017
• Est. Priority Date: 03/16/2007
• Status: Abandoned Application

• Current Assignee: 23andme Incorporated (23andMe Holding Co.)
• Original Assignee: Expanse Bioinformatics, Inc.
• Inventors: Eldering, Charles Anthony, Kenedy, Andrew Alexander
• Application Number:
  US15/297,208
• Publication Number:
  US 20170053089A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/00 Information retrieval; Database structures therefor; File system structures therefor
• CPC Class Codes: G06F 16/2282 Tablespace storage structures; Management thereof
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G06F 16/955 using information identifiers, e.g. uniform resource locators [URL]
• CPC Class Codes: G06N 3/08 Learning methods
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G09B 19/00 Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G16B 20/00 ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
• CPC Class Codes: G16B 20/20 Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
• CPC Class Codes: G16B 20/40 Population genetics; Linkage disequilibrium
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/30 : for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/70 : for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 70/20 : relating to practices or guidelines
• CPC Class Codes: H04L 67/306 : User profiles

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.

Claims

1. A computer based method for the determination of the predisposition of a user to a deleterious mental health condition based on the identification of patterns comprising a plurality of genetic attributes in combination with at least one situational attribute and at least one behavioral attribute comprising:

a) receiving a mental health query associated with the user;

b) accessing a set of indicative patterns comprising the plurality of genetic attributes in combination with at least one situational attribute and at least one behavioral attribute wherein the set of indicative patterns is determined through correlation of the genetic, situational, and behavioral attributes of individuals in a population with the corresponding mental health states of those individuals, and wherein the set of patterns are indicative of combinations of the plurality of genetic attributes which in association with the at least one situational and the at least one behavioral attribute result in predisposition of the user to the deleterious mental health condition;

c) accessing a previously stored dataset of genetic, situational, and behavioral attributes of the user; and

d) correlating the set of patterns comprising the plurality of genetic attributes in combination with at least one situational attribute and at least one behavioral attribute with the previously stored dataset of genetic and behavioral attributes of the user to determine the susceptibility of the user to the deleterious mental health condition based on the presence of the plurality of genetic attributes in combination with at least one situational attribute and at least one behavioral attribute.

2. The computer based method of claim 1, wherein the at least one behavioral attribute contains at least one modifiable behavioral attribute.

3. The computer based method of claim 1 wherein the at least one behavioral attribute contains a plurality of modifiable behavioral attributes.

4. The computer based method of claim 3 wherein the plurality of modifiable behavioral attributes is ranked according to correlation with predisposition to the deleterious mental health condition.

5. A database system for the determination of the predisposition of a user to a deleterious mental health condition based on the identification of patterns comprising a plurality of genetic attributes in combination with at least one situational attribute and at least one behavioral attribute comprising:

e) a first memory comprising a set of indicative patterns comprising the plurality of genetic attributes in combination with at least one situational attribute and at least one behavioral attribute wherein the set of indicative patterns is determined through correlation of the genetic, situational, and behavioral attributes of individuals in a population with the corresponding mental health states of those individuals, and wherein the set of patterns are indicative of combinations of the plurality of genetic attributes which in association with the at least one situational and the at least one behavioral attribute result in predisposition of the user to the deleterious mental health condition;

f) a second memory containing a data structure comprising a previously stored dataset of genetic, situational, and behavioral attributes of the user;

g) a processor for;

i. receiving a mental health query associated with the user;

ii. accessing the set of indicative patterns;

iii. correlating the set of patterns comprising the plurality of genetic attributes in combination with at least one situational attribute and at least one behavioral attribute with the previously stored dataset of genetic and behavioral attributes of the user to determine the susceptibility of the user to the deleterious mental health condition based on the presence of the plurality of genetic attributes in combination with at least one situational attribute and at least one behavioral attribute.

6. The database system of claim 5, wherein the at least one behavioral attribute contains at least one modifiable behavioral attribute.

7. The database system of claim 5 wherein the at least one behavioral attribute contains a plurality of modifiable behavioral attributes.

8. The database system of claim 7 wherein the plurality of modifiable behavioral attributes is ranked according to correlation with predisposition to the deleterious mental health condition.