Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.
Type:
Grant
Filed:
April 28, 2022
Date of Patent:
November 29, 2022
Assignee:
23andMe, Inc.
Inventors:
Andrew Alexander Kenedy, Charles Anthony Eldering
Abstract: The disclosed embodiments concern methods, apparatus, systems and computer program products for determining and displaying pedigrees based on IBD data. Some implementations use a probabilistic relationship model to obtain various likelihoods of various potential relationships based on pairwise IBD data and pairwise age data. Some implementations build large pedigrees by combining smaller pedigrees. Some implementations display pedigree graphs with various features that are informative and easy to understand.
Type:
Grant
Filed:
September 11, 2020
Date of Patent:
November 29, 2022
Assignee:
23andMe, Inc.
Inventors:
Ethan M. Jewett, Andrew C. Seaman, Kimberly F. McManus, William A. Freyman, Cordell T. Blakkan, Adam Auton, Joanna L. Mountain, Susan M. Furest, Rachel E. Lopatin, Hang Xu, Hilary M. Vance
Abstract: A method, software, database and system for determining an optimal treatment for an illness in an individual and for determining the impact (e.g., side effects and intended benefits) of the treatment in the individual are presented in which an attribute profile of the individual containing genetic and non-genetic attributes is compared against a database containing combinations genetic and non-genetic attributes that are statistically associated with successful treatment of the illness in other individuals.
Abstract: An embodiment may involve storing, by a computing device and in a database, a set of pangenetic attributes of a set of individuals, wherein the pangenetic attributes of the set are respectively and statistically associated with products; based on the statistical associations between the pangenetic attributes and the products, determining, by the computing device, product recommendations for a second set of individuals; receiving, by the computing device and from the second set of individuals, a plurality of measures of satisfaction with the product recommendations; based on the plurality of measures of satisfaction, learning, by the computing device, an association between a subset of the pangenetic attributes and a particular product; and storing, by the computing device and in the database, the learned association, wherein the learned association provides a basis for subsequent recommendations of the particular product when a subsequent individual exhibits the subset of the pangenetic attributes.
Type:
Grant
Filed:
March 25, 2021
Date of Patent:
November 29, 2022
Assignee:
23andMe, Inc.
Inventors:
Andrew Alexander Kenedy, Charles Anthony Eldering
Abstract: Determining relative relationships of people who share a common ancestor within at least a threshold number of generations includes: receiving recombinable deoxyribonucleic acid (DNA) sequence information of a first user and recombinable DNA sequence information of a plurality of users; processing, using one or more computer processors, the recombinable DNA sequence information of the plurality of users in parallel; determining, based at least in part on a result of processing the recombinable DNA information of the plurality of users in parallel, a predicted degree of relationship between the first user and a user among the plurality of users, the predicted degree of relative relationship corresponding to a number of generations within which the first user and the second user share a common ancestor.
Type:
Grant
Filed:
January 14, 2022
Date of Patent:
November 22, 2022
Assignee:
23andMe, Inc.
Inventors:
Lawrence Hon, Serge Saxonov, Brian Thomas Naughton, Joanna Louise Mountain, Anne Wojcicki, Linda Avey
Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.
Type:
Grant
Filed:
April 28, 2022
Date of Patent:
November 8, 2022
Assignee:
23andMe, Inc.
Inventors:
Andrew Alexander Kenedy, Charles Anthony Eldering
Abstract: A method, software, database, and system in which a query attribute is used as the basis for accessing stored attribute combinations and their frequencies of occurrence for individuals; and tabulating, based on frequencies of occurrence, those attribute combinations that are most likely to co-occur with the query attribute.
Type:
Grant
Filed:
July 26, 2022
Date of Patent:
October 25, 2022
Assignee:
23andMe, Inc.
Inventors:
Andrew Alexander Kenedy, Charles Anthony Eldering
Abstract: Inferring a characteristic of an individual is disclosed. An indication that a first user and a second user have at least one shared chromosomal segment is received. Information about the second user is obtained. A characteristic of the first user is inferred based at least in part on the information about the second user.
Type:
Grant
Filed:
October 22, 2020
Date of Patent:
October 11, 2022
Assignee:
23andMe, Inc.
Inventors:
John Michael Macpherson, Brian Thomas Naughton, Joanna Louise Mountain
Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.
Type:
Grant
Filed:
January 26, 2022
Date of Patent:
May 31, 2022
Assignee:
23andMe, Inc.
Inventors:
Andrew Alexander Kenedy, Charles Anthony Eldering
Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.
Type:
Grant
Filed:
February 1, 2022
Date of Patent:
May 31, 2022
Assignee:
23andMe, Inc.
Inventors:
Andrew Alexander Kenedy, Charles Anthony Eldering
Abstract: Determining relative relationships of people who share a common ancestor within at least a threshold number of generations includes: receiving recombinable deoxyribonucleic acid (DNA) sequence information of a first user and recombinable DNA sequence information of a plurality of users; processing, using one or more computer processors, the recombinable DNA sequence information of the plurality of users in parallel; determining, based at least in part on a result of processing the recombinable DNA information of the plurality of users in parallel, a predicted degree of relationship between the first user and a user among the plurality of users, the predicted degree of relative relationship corresponding to a number of generations within which the first user and the second user share a common ancestor.
Type:
Grant
Filed:
June 17, 2021
Date of Patent:
May 3, 2022
Assignee:
23andMe, Inc.
Inventors:
Lawrence Hon, Serge Saxonov, Brian Thomas Naughton, Joanna Louise Mountain, Anne Wojcicki, Linda Avey
Abstract: The present invention provides binding proteins, such as antibodies and antigen-binding fragments, which specifically bind to human interleukin-1 receptor accessory protein (hu-IL1RAP) and fully block the IL-1, IL-33, and IL-36 intracellular signaling pathways. Compositions comprising such binding proteins and methods of making and using such binding proteins are also provided.
Type:
Application
Filed:
September 27, 2021
Publication date:
April 7, 2022
Applicant:
23andMe, Inc.
Inventors:
Davide Foletti, Erik Karrer, Germaine Fuh-KELLY, Kristie Ibarra, Quan Zheng, Yao-ming Huang, Lindsay Deis, Christine Wolak, Dominic Samuel Berns
Abstract: The present disclosure provides binding proteins, such as antibodies and antigen-binding fragments, which specifically bind to human CD200R1 receptor protein (hu-CD200R1) and are capable of decreasing, inhibiting, and/or fully-blocking immune regulatory effects mediated by hu-CD200R1. The present disclosure also provides methods of using the antibodies (and compositions thereof) to treat diseases and conditions responsive to decreasing, inhibiting and/or blocking immune regulatory function or activity mediated by CD200 binding to CD200R1.
Type:
Application
Filed:
May 28, 2021
Publication date:
December 2, 2021
Applicant:
23andMe, Inc.
Inventors:
Yu CHEN, Jilean Beth FENAUX, Germaine FUH-KELLY, Yao-Ming HUANG, Wei-Jen CHUNG, Erik Edward KARRER, Cecilia LAY, Steven J. PITTS, Louise SCHARF
Abstract: Displaying a comparison of genotypic information between relatives is disclosed, including receiving an indication that a first individual is a grandparent, receiving an indication that a second individual is a grandchild of the first individual, comparing the genotypic information of the first individual and the second individual and calculating a similarity score, and displaying an indication of the similarity score graphically using colors.
Type:
Grant
Filed:
December 1, 2017
Date of Patent:
November 9, 2021
Assignee:
23andMe, Inc.
Inventors:
Linda Avey, Oleksiy Khomenko, Brian Thomas Naughton, Serge Saxonov, Anne Wojcicki, Alexander Wong
Abstract: Sharing data is disclosed. In some cases, sharing data includes receiving a request to share data from a first account to a second account, receiving an indication of a plurality of first account profiles associated with the first account to share with the second account, and establishing sharing from the plurality of first account profiles to the second account, wherein sharing comprises the second account having read access to a subset of nonpublic data associated with the plurality of first account profiles.
Type:
Grant
Filed:
April 28, 2021
Date of Patent:
November 9, 2021
Assignee:
23andMe, Inc.
Inventors:
Brian Lee Hawthorne, Oleksiy Khomenko, Jeffrey Mellen, Marcela Miyazawa, Michael Polcari, Jack Tihon, Alexander Wong, Anne Wojcicki, Linda Avey
Abstract: The present invention provides binding proteins, such as antibodies and antigen-binding fragments, which specifically bind to human interleukin-1 receptor accessory protein (hu-IL1RAP) and fully block the IL-1, IL-33, and IL-36 intracellular signaling pathways. Compositions comprising such binding proteins and methods of making and using such binding proteins are also provided.
Type:
Grant
Filed:
August 15, 2019
Date of Patent:
November 9, 2021
Assignee:
23andMe, Inc.
Inventors:
Davide Foletti, Erik Karrer, Germaine Fuh-Kelly, Kristie Ibarra, Quan Zheng, Yao-ming Huang, Lindsay Deis, Christine Wolak, Dominic Samuel Berns