Lifestyle optimization and behavior modification

• US 8,606,761 B2
• Filed: 03/15/2008
• Issued: 12/10/2013
• Est. Priority Date: 03/16/2007
• Status: Active Grant

• Current Assignee: 23andme Incorporated (23andMe Holding Co.)
• Original Assignee: Expanse Bioinformatics, Inc.
• Inventors: Kenedy, Andrew Alexander, Eldering, Charles Anthony
• Primary Examiner(s): Alam, Hosain
• Assistant Examiner(s): HARPER, ELIYAH STONE
• Application Number:
  US12/049,330
• Publication Number:
  US 20080228735A1
• Time in Patent Office: 2,096 Days
• Field of Search: 707/999.003, 707/999.006, 707/999.101, 707/999.102, 707/68
• US Class Current: 707/688
• 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 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.

Claims

1. A computer based method for determining a set of modifiable non-pangenetic attributes to allow an individual to achieve a desired lifestyle based on a set of pangenetic attributes associated with the individual comprising:

a) receiving, over a computer network, a query associated with the individual, wherein the query contains a specific desired lifestyle element;

b) accessing an attribute profile associated with the individual, the attribute profile containing pangenetic and non-pangenetic attributes;

c) accessing a database containing attribute combinations of pangenetic and non-pangenetic attributes of other individuals in a population that are statistically associated with the specific desired lifestyle element identified in (a), wherein the attribute combinations that are statistically associated with the specific desired lifestyle element contain pangenetic and non-pangenetic attributes of the other individuals in the population, and wherein the database further contains corresponding statistical results which indicate the strength of association of the attribute combinations with the specific desired lifestyle element;

d) determining, based on correlating the pangenetic attributes associated with the individual with the pangenetic attributes of the other individuals in the population that are statistically associated with the specific desired lifestyle element, a set of non-pangenetic attributes that are part of the attribute combinations that are statistically associated with the specific desired lifestyle element and which have corresponding pangenetic attributes correlated with the pangenetic attributes of the individual;

e) selecting the set of modifiable non-pangenetic attributes which, based on the corresponding statistical results which indicate the strength of association of the attribute combinations with the specific desired lifestyle element, will result in a statistically significant increase in the probability of achieving the desired lifestyle if implemented by the individual based on the correlation of their personal combination of pangenetic attributes in (d); and

f) transmitting the set of modifiable non-pangenetic attributes.

2. The method of claim 1 wherein the transmitted set of modifiable non-pangenetic attributes is a rank ordered list.

3. The method of claim 2 wherein the rank ordered list is ordered according to the modifiable non-pangenetic attributes having the highest statistically significant increase in the probability of achieving the desired lifestyle if implemented by the individual.

4. The method of claim 1 wherein the specific desired lifestyle element is longevity.

5. The method of claim 1 wherein the specific desired lifestyle element is weight control.

6. The method of claim 1 wherein the specific desired lifestyle element is disease avoidance.

7. A non-transitory program storage device readable by a machine and containing a set of instructions which, when read by the machine, causes execution of a computer based method for determining an approach to achieve a desired lifestyle for an individual, comprising:

a) receiving, over a computer network, a query associated with the individual, wherein the query contains a specific desired lifestyle element;

b) accessing an attribute profile associated with the individual, the attribute profile containing pangenetic and non-pangenetic attributes;

c) accessing a database containing attribute combinations of pangenetic and non-pangenetic attributes other individuals in a population that are statistically associated with the specific desired lifestyle element specified in (a), wherein the attribute combinations that are statistically associated with the specific desired lifestyle element contain pangenetic and non-pangenetic attributes of the other individuals in the population, and wherein the database further contains corresponding statistical results which indicate the strength of association of the attribute combinations with the specific desired lifestyle element;

d) determining, based on correlating the pangenetic attributes associated with the individual with the pangenetic attributes of the other individuals in the population that are statistically associated with the specific desired lifestyle element, a set of non-pangenetic attributes that are part of the attribute combinations that are statistically associated with the specific desired lifestyle element and which have corresponding pangenetic attributes correlated with the pangenetic attributes of the individual;

e) selecting the set of modifiable non-pangenetic attributes which, based on the corresponding statistical results which indicate the strength of association of the attribute combinations with the specific desired lifestyle element, will result in a statistically significant increase in the probability of achieving the desired lifestyle if implemented by the individual based on the correlation of their personal combination of pangenetic attributes in (d); and

f) transmitting the set of modifiable non-pangenetic attributes.

8. The program storage device of claim 7 wherein the transmitted set of modifiable non-pangenetic attributes is a rank ordered list.

9. The program storage device of claim 7 wherein the rank ordered list is ordered according to the non-modifiable attributes having the highest statistically significant increase in the probability of achieving the desired lifestyle if implemented by the individual.

10. The program storage device of claim 7 wherein the specific desired lifestyle element is longevity.

11. The program storage device of claim 7 wherein the specific desired lifestyle element is weight control.

12. The program storage device of claim 7 wherein the specific desired lifestyle element is disease avoidance.

13. A database system for determining a set of modifiable non-pangenetic attributes to allow an individual to achieve a desired lifestyle based on a set of pangenetic attributes associated with the individual comprising:

a) a memory containing;

i. a first data structure containing an attribute profile associated with the individual, the attribute profile comprising pangenetic and non-pangenetic attributes;

ii. a second data structure containing attribute combinations of other individuals in a population that are statistically associated with the specific desired lifestyle element, wherein the attribute combinations that are statistically associated with the specific desired lifestyle element contain pangenetic and non-pangenetic attributes of the other individuals in the population, and wherein the database further contains corresponding statistical results which indicate the strength of association of the attribute combinations with the specific desired lifestyle element;

b) a processor for;

i. receiving, over a computer network, a query associated with the individual, wherein the query contains a specific desired lifestyle element;

ii. accessing the attribute profile associated with the individual as stored in the first data structure, the attribute profile containing pangenetic and non-pangenetic attributes;

iii. accessing the second data structure containing attribute combinations of pangenetic and non-pangenetic attributes of other individuals in a population that are statistically associated with the specific desired lifestyle element, wherein the attribute combinations that are statistically associated with the specific desired lifestyle element contain pangenetic and non-pangenetic attributes of the other individuals in the population, and wherein the database further contains corresponding statistical results which indicate the strength of association of the attribute combinations with the specific desired lifestyle element;

iv. determining, based on correlating the pangenetic attributes associated with the individual with the pangenetic attributes of the other individuals in the population that are statistically associated with the specific desired lifestyle element, a set of non-pangenetic attributes that are part of the attribute combinations that are statistically associated with the specific desired lifestyle element and which have corresponding pangenetic attributes correlated with the pangenetic attributes of the individual;

v. selecting the set of non-pangenetic attributes that are modifiable by the individual and which, based on the corresponding statistical results which indicate the strength of association of the attribute combinations with the specific desired lifestyle element, will result in a statistically significant increase in the probability of achieving the desired lifestyle if implemented by the individual based on the correlation of their personal combination of pangenetic attributes in (iv); and

vi. transmitting the set of non-pangenetic attributes.

14. The database system of claim 13 wherein the transmitted set of non-pangenetic attributes is a rank ordered list.

15. The database system of claim 14 wherein the rank ordered list is ordered according to the non-modifiable attributes having the highest statistically significant increase in the probability of achieving the desired lifestyle if implemented by the individual.

16. The database system of claim 13 wherein the specific desired lifestyle element is longevity.

17. The database system of claim 13 wherein the specific desired lifestyle element is weight control.

18. The database system of claim 13 wherein the specific desired lifestyle element is disease avoidance.