Longevity analysis and modifiable attribute identification

• US 8,185,461 B2
• Filed: 04/04/2011
• Issued: 05/22/2012
• 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
• Primary Examiner(s): Havan, Thu Thao
• Application Number:
  US13/079,601
• Publication Number:
  US 20110184944A1
• Time in Patent Office: 414 Days
• Field of Search: 705/4, 705 35- 40
• US Class Current: 705/35
• 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 determining at least one longevity related modifiable lifestyle attribute for an individual, which attribute when modified leads to an increase in expected longevity of the individual, comprising:

a) a database of attribute profiles, wherein each attribute profile comprises pangenetic and modifiable lifestyle attributes along with longevity data correlating said respective pangenetic and lifestyle attributes; 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 an individual;

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

iii.) determining, based on a comparison of the pangenetic attributes of the individual and the database of attribute profiles and longevity data, one or more modifiable lifestyle attributes associated with the individual which when altered, result in an increase in the expected longevity of the individual; and

iv.) transmitting the one or more modifiable lifestyle attributes as output to indicate modifiable lifestyle attributes that when modified increase the expected longevity of 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 modifiable lifestyle attributes in an order corresponding to the modifiable attributes that increase the expected longevity of the individual to the largest extent.

3. A computer based method for determining at least one longevity related modifiable lifestyle attribute for an individual comprising:

a) receiving a query related to altering the longevity of an individual;

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

c) accessing a database containing pangenetic and modifiable lifestyle attributes along with longevity data;

d) determining, based on the pangenetic attributes of the individual and the database containing pangenetic and modifiable lifestyle attributes, one or more modifiable lifestyle attributes that can be when modified by the individual increase the individual'"'"'s expected longevity; and

e) transmitting the one or more modifiable lifestyle attributes as output to indicate attributes that when modified by the individual increase the individual'"'"'s expected longevity.

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

f) rank ordering the modifiable lifestyle attributes in an order corresponding to the modifiable attributes that increase the expected longevity of the individual to the largest extent.