Search Patents
  • Patent number: 9836576
    Abstract: Phasing unphased genotype data of an individual includes: obtaining the unphased genotype data of the individual; processing the unphased genotype data to determine phased haplotype data, the processing comprising performing out-of-sample population-based phasing on the unphased genotype data; wherein: performing out-of-sample population-based phasing includes performing statistical analysis using predetermined reference data that is based on genotype data of a reference population; and the genotype data of the reference population does not reference the genotype data of the individual.
    Type: Grant
    Filed: March 13, 2013
    Date of Patent: December 5, 2017
    Assignee: 23andMe, Inc.
    Inventors: Chuong Do, Eric Durand, John Michael Macpherson
  • Patent number: 11884719
    Abstract: The present invention provides binding proteins, such as antibodies and antigen-binding fragments, which specifically bind to human IL-36 cytokines, IL-36?, IL-36?, and/or IL-36?, and block the IL-36 stimulated signaling pathways. Compositions comprising such binding proteins and methods of making and using such binding proteins are also provided.
    Type: Grant
    Filed: December 19, 2019
    Date of Patent: January 30, 2024
    Assignee: 23andMe, Inc.
    Inventors: Chingwei Vivian Lee, Germaine Fuh-Kelly, Louise Scharf, Tina Thai, Ashka Bharat Patel, Shashank Bharill, Erik Edward Karrer
  • Patent number: 11168140
    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
  • Patent number: 11515046
    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.
    Type: Grant
    Filed: March 25, 2021
    Date of Patent: November 29, 2022
    Assignee: 23andMe, Inc.
    Inventors: Andrew A. Kenedy, Charles A. Eldering
  • Patent number: 11581096
    Abstract: A system and method are presented in which known genetic attributes associated with a condition are used to seed the determination of additional attributes which are associated with the condition. Based on the learning, the additional attributes (genetic, behavioral, or both) provide for an increased correlation between the combined attributes and the condition. For behavioral attributes, a measure of the impact of the behavioral attribute on the risk of the condition can be transmitted to another device or system.
    Type: Grant
    Filed: October 4, 2018
    Date of Patent: February 14, 2023
    Assignee: 23andMe, Inc.
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Publication number: 20220106395
    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
  • Publication number: 20200095328
    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: August 15, 2019
    Publication date: March 26, 2020
    Applicant: 23andMe, Inc.
    Inventors: Davide Foletti, Erik Karrer, Germaine Fuh, Kristie Ibarra, Quan Zheng, Yao-ming Huang, Lindsay Deis, Christine Wolak, Dominic Samuel Berns
  • Patent number: 8645343
    Abstract: Processing genetic data is disclosed, including: receiving two or more genetic data sets for an individual from one or more genetic data sources; merging the genetic data sets from the one or more genetic data sources, including identifying a duplicate SNP between the genetic data sets and determining one or more data values to be stored for the duplicate SNP; and storing a single set of merged genetic data for the individual.
    Type: Grant
    Filed: August 25, 2009
    Date of Patent: February 4, 2014
    Assignee: 23andMe, Inc.
    Inventors: Alexander Wong, Oleksiy Khomenko, Serge Saxonov, Brian Thomas Naughton, Lawrence Hon
  • Patent number: 11545269
    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 15, 2021
    Date of Patent: January 3, 2023
    Assignee: 23andMe, Inc.
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Patent number: 11735323
    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: November 17, 2022
    Date of Patent: August 22, 2023
    Assignee: 23andMe, Inc.
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Patent number: 9336177
    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: October 14, 2008
    Date of Patent: May 10, 2016
    Assignee: 23andMe, Inc.
    Inventors: Brian Lee Hawthorne, Oleksiy Khomenko, Jeffrey Mellen, Marcela Miyazawa, Michael Polcari, Jack Tihon, Alexander Wong, Anne Wojcicki, Linda Avey
  • Patent number: 11348691
    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
  • Patent number: 11600393
    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: May 13, 2022
    Date of Patent: March 7, 2023
    Assignee: 23andMe, Inc.
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Patent number: 11581098
    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 26, 2022
    Date of Patent: February 14, 2023
    Assignee: 23andMe, Inc.
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Patent number: 11348692
    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
  • Patent number: 10999285
    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: October 23, 2020
    Date of Patent: May 4, 2021
    Assignee: 23andMe, Inc.
    Inventors: Brian Lee Hawthorne, Oleksiy Khomenko, Jeffrey Mellen, Marcela Miyazawa, Michael Polcari, Jack Tihon, Alexander Wong, Anne Wojcicki, Linda Avey
  • Patent number: 10516670
    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: February 17, 2016
    Date of Patent: December 24, 2019
    Assignee: 23andMe, Inc.
    Inventors: Brian Lee Hawthorne, Oleksiy Khomenko, Jeffrey Mellen, Marcela Miyazawa, Michael Polcari, Jack Tihon, Alexander Wong, Anne Wojcicki, Linda Avey
  • Publication number: 20100223281
    Abstract: Determining relative relationship includes receiving recombinable deoxyribonucleic acid (DNA) information of a first user and recombinable DNA information of a second user, determining, based at least in part on the recombinable DNA information of the first user and recombinable DNA information of the second user, a predicted degree of relationship between the first user and the second user, and in the event that the expected degree of relationship between the first user and the second user at least meets the threshold, notifying at least the first user about a relative relationship with the second user.
    Type: Application
    Filed: December 22, 2009
    Publication date: September 2, 2010
    Applicant: 23ANDME, INC.
    Inventors: Lawrence Hon, Serge Saxonov, Brian Thomas Naughton, Joanna Louise Mountain, Anne Wojcicki, Linda Avey
  • Patent number: 10432640
    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: May 22, 2019
    Date of Patent: October 1, 2019
    Assignee: 23andMe, Inc.
    Inventors: Brian Lee Hawthorne, Oleksiy Khomenko, Jeffrey Mellen, Marcela Miyazawa, Michael Polcari, Jack Tihon, Alexander Wong, Anne Wojcicki, Linda Avey
  • Patent number: 11683315
    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: October 12, 2021
    Date of Patent: June 20, 2023
    Assignee: 23andMe, Inc.
    Inventors: Brian Lee Hawthorne, Oleksiy Khomenko, Jeffrey Mellen, Marcela Miyazawa, Michael Polcari, Jack Tihon, Alexander Wong, Anne Wojcicki, Linda Avey
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