MODIFIABLE ATTRIBUTE IDENTIFICATION

• US 20120221350A1
• Filed: 05/04/2012
• Published: 08/30/2012
• Est. Priority Date: 03/16/2007
• Status: Active Grant

• Current Assignee: 23andme Incorporated (23andMe Holding Co.)
• Original Assignee: Expanse Networks, Inc.
• Inventors: Kenedy, Andrew Alexander, Eldering, Charles Anthony
• Granted Patent: US 8,788,283 B2
• Time in Patent Office: Days
• US Class Current: 705/2
• 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 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.

Claims

1. A non-transitory computer readable medium for generating a pangenetic based determination of one or more modifiable lifestyle attributes for an individual, which when modified provide a personalized treatment regimen for a disease, comprising:

a) a database of attribute profiles and disease data, wherein each attribute profile comprises pangenetic and modifiable lifestyle attributes that are correlated with at least a portion of the disease data; and

b) a set of instructions that, when executed by a processor, cause that processor to perform the steps of;

i) receiving a query associated with the individual and the disease;

ii) accessing an attribute profile associated with the individual, wherein the attribute profile contains pangenetic and modifiable lifestyle attributes of the individual;

iii) determining, based on a comparison of the attribute profile of the individual and the database of attribute profiles and disease data, one or more modifiable lifestyle attributes associated with the individual, which provide a personalized treatment regimen for the disease; and

iv) transmitting the one or more modifiable lifestyle attributes as output to provide the personalized treatment regimen for the disease for the individual.

2. The non-transitory computer readable medium of claim 1, further comprising a set of instructions that, when executed by a processor, cause that processor to perform the step of:

v) rank ordering the one or more modifiable lifestyle attributes in an order corresponding to those modifiable attributes that provide the most effective personalized treatment regimen for the disease

3. A computer based method for generating a pangenetic based determination of one or more disease related modifiable lifestyle attributes for an individual, which when modified provide a personalized treatment regimen for a disease, comprising:

a) receiving a query related to the individual and the disease;

b) accessing an attribute profile associated with the individual, the attribute profile comprising pangenetic attributes and at least one modifiable lifestyle attribute of the individual;

c) accessing a database containing pangenetic and modifiable lifestyle attributes along with disease data, wherein a portion of the pangenetic and modifiable lifestyle attributes are correlated with at least a portion of disease data;

d) determining, by comparing the attribute profile of the individual and with attributes in the database containing pangenetic and modifiable lifestyle attributes correlated with disease data, one or more modifiable lifestyle attributes that when modified provide a personalized treatment regimen for the disease; and

e) transmitting the one or more modifiable lifestyle attributes as output to provide a personalized treatment regimen for the disease for the individual.

4. The computer based method of claim 3, further comprising:

f) rank ordering the one or more modifiable lifestyle attributes in an order corresponding to those modifiable attributes that provide the most effective personalized treatment regimen for the disease.

5. A system for generating a pangenetic based determination of one or more modifiable lifestyle attributes for an individual, which when modified provide a personalized treatment regimen for a disease, comprising:

a) a database of attribute profiles and disease data, wherein each attribute profile comprises pangenetic and modifiable lifestyle attributes correlated with at least a portion of the disease data; and

b) a processor and an associated memory, the associated memory containing a set of instructions that, when executed by a processor, cause the processor to perform the steps of;

i) receiving a query associated with an individual and the disease;

ii) accessing an attribute profile associated with the individual, wherein the attribute profile contains pangenetic and modifiable lifestyle attributes of the individual;

iii) determining, by comparing the attribute profile of the individual with attribute profiles and disease data in the database, one or more modifiable lifestyle attributes associated with the individual which when modified provide a personalized treatment regimen for the disease; and

iv) transmitting the one or more modifiable lifestyle attributes as output to provide a personalized treatment regimen for the disease of the individual.

6. The system of claim 5, further comprising a set of instructions that, when executed by a processor, cause the processor to perform the step of:

v) rank ordering the one or more modifiable lifestyle attributes in an order corresponding to those modifiable attributes that provide the most effective personalized treatment regimen for the disease of the individual.