Patents by Inventor Jeffrey Staples

Jeffrey Staples has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11605444
    Abstract: Methods, non-transitory computer-implemented methods and systems for identifying compound heterozygous mutations (CHMs) and de novo mutations (DNMs) in populations are provided. Also provided are methods for phasing genetic variants in a population by leveraging the population's relatedness. Further provided is a prediction model of relatedness in a human population.
    Type: Grant
    Filed: September 7, 2018
    Date of Patent: March 14, 2023
    Assignee: Regeneron Pharmaceuticals, Inc.
    Inventors: Jeffrey Staples, Lukas Habegger, Jeffrey Reid
  • Publication number: 20220336045
    Abstract: Methods, non-transitory computer-implemented methods and systems for identifying compound heterozygous mutations (CHMs) and de novo mutations (DNMs) in populations are provided. Also provided are methods for phasing genetic variants in a population by leveraging the population's relatedness. Further provided is a prediction model of relatedness in a human population.
    Type: Application
    Filed: July 5, 2022
    Publication date: October 20, 2022
    Inventors: Jeffrey Staples, Lukas Habegger, Jeffrey Reid
  • Publication number: 20200082947
    Abstract: Methods, non-transitory computer-implemented methods and systems for creating enriched pedigree are provided. Also provided are methods, non-transitory computer-implemented methods and systems for determining a disease-causing variant.
    Type: Application
    Filed: September 6, 2019
    Publication date: March 12, 2020
    Inventors: Jeffrey Staples, Claudia Gonzaga-Jauregui, Jeffrey Reid, Lukas Habegger
  • Publication number: 20190370254
    Abstract: Methods and systems are described for converting a matrix to a sparse vector-based matrix utilizing one or more of a global identifier, a cohort identifier, an n-tuple representation, and a sparse vector. Methods and systems are described for partitioning matrices. Methods and systems are described for managing execution of tasks in a distributed computing environment. Methods and systems are described for positioning data within the distributed computing environment.
    Type: Application
    Filed: May 31, 2019
    Publication date: December 5, 2019
    Inventors: Evan Maxwell, Leland Barnard, Ashish Yadav, Jeffrey Staples, Jeffrey Reid, Lukas Habegger
  • Publication number: 20190205502
    Abstract: Methods, non-transitory computer-implemented methods and systems for identifying compound heterozygous mutations (CHMs) and de novo mutations (DNMs) in populations are provided. Also provided are methods for phasing genetic variants in a population by leveraging the population's relatedness. Further provided is a prediction model of relatedness in a human population.
    Type: Application
    Filed: September 7, 2018
    Publication date: July 4, 2019
    Inventors: Jeffrey Staples, Lukas Habegger, Jeffrey Reid
  • Publication number: 20190074092
    Abstract: Methods, computer-implemented methods and systems for preparing prediction model of relatedness in human population are provided. The prediction model prepared by the methods, computer-implemented methods and systems can be used to model a variety of study populations and sampling approaches to estimate the amount of relatedness researchers should expect in a genetic cohort.
    Type: Application
    Filed: September 7, 2018
    Publication date: March 7, 2019
    Inventors: Jeffrey Staples, Lukas Habegger, Jeffrey Reid
  • Publication number: 20170286594
    Abstract: Methods and systems for generating and analyzing genetic variant-phenotype association results are disclosed.
    Type: Application
    Filed: March 29, 2017
    Publication date: October 5, 2017
    Inventors: Jeffrey Reid, Omri Gottesman, Lukas Habegger, Brian Cajes, Jeffrey Staples, Evan Maxwell