Patents Assigned to Sequenom, Inc.
  • Patent number: 11401551
    Abstract: Systems and methods for identifying a de novo mutation in a genome of a fetus are provided. Methods may include identifying a location of each of a plurality of cell-free nucleic acid molecules using sequence reads. Methods may also include identifying a first sequence in the sequence reads at a first location that is not present in the maternal or paternal sequences. Methods may additionally include determining a first fractional concentration of the first sequence in the biological sample at the first location. Further, methods may include determining a second fractional concentration of a fetal-specific second sequence. The second sequence may be inherited by the fetus from the father at the second location. In addition, methods may include classifying the first sequence as a de novo mutation at the first location in a fetal genome of the fetus if the first and second fractional concentrations are about the same.
    Type: Grant
    Filed: June 7, 2018
    Date of Patent: August 2, 2022
    Assignees: The Chinese University of Hong Kong, Sequenom Inc.
    Inventors: Yuk Ming Dennis Lo, Kwan Chee Chan, Wai Kwun Rossa Chiu, Charles Cantor
  • Patent number: 11365447
    Abstract: Technology provided herein relates in part to methods, processes and apparatuses for non-invasive assessment of genetic variations. In particular the invention relates to methods and kits for detecting aneuploidy of a fetal chromosome by determining the amounts of differentially methylated regions in each of chromosomes 13, 18 and 21 in circulating cell-free nucleic acid from a human pregnant female.
    Type: Grant
    Filed: March 12, 2015
    Date of Patent: June 21, 2022
    Assignee: Sequenom, Inc.
    Inventors: Taylor Jacob Jensen, Jennifer Geis, Sung Kyun Kim, Cosmin Deciu, Mathias Ehrich
  • Patent number: 11332791
    Abstract: Provided are compositions and processes that utilize genomic regions that are differentially methylated between a mother and her fetus to separate, isolate or enrich fetal nucleic acid from a maternal sample. The compositions and processes described herein are particularly useful for non-invasive prenatal diagnostics, including the detection of chromosomal aneuploidies.
    Type: Grant
    Filed: September 9, 2016
    Date of Patent: May 17, 2022
    Assignee: Sequenom, Inc.
    Inventors: John Allen Tynan, Grant Hogg
  • Patent number: 11312997
    Abstract: Technology provided herein relates in part to methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Grant
    Filed: May 27, 2020
    Date of Patent: April 26, 2022
    Assignee: Sequenom, Inc.
    Inventors: Charles R. Cantor, Grace DeSantis, Reinhold Mueller, Mathias Ehrich
  • Patent number: 11306354
    Abstract: Technology provided herein relates in part to methods, processes, compositions and apparatuses for analyzing nucleic acid.
    Type: Grant
    Filed: February 12, 2018
    Date of Patent: April 19, 2022
    Assignee: Sequenom, Inc.
    Inventors: Sung K. Kim, Cosmin Deciu
  • Publication number: 20220093207
    Abstract: Technology provided herein relates in part to non-invasive classification of one or more genetic copy number alterations (CNAs) for a test sample. Certain methods include sampling a quantification of sequence reads from parts of a genome, generating a confidence determination, and using the confidence determination to enhance classification. Technology provided herein is useful for classifying a genetic CNA for a sample as part of non-invasive pre-natal (NIPT) testing and oncology testing, for example.
    Type: Application
    Filed: December 7, 2021
    Publication date: March 24, 2022
    Applicant: Sequenom, Inc.
    Inventors: Amin Mazloom, Cosmin Deciu, Chen Zhao, Tong Liu, Yijin Wu
  • Patent number: 11200963
    Abstract: Technology provided herein relates in part to non-invasive classification of one or more genetic copy number alterations (CNAs) for a test sample. Certain methods include sampling a quantification of sequence reads from parts of a genome, generating a confidence determination, and using the confidence determination to enhance classification. Technology provided herein is useful for classifying a genetic CNA for a sample as part of non-invasive pre-natal (NIPT) testing and oncology testing, for example.
    Type: Grant
    Filed: July 27, 2017
    Date of Patent: December 14, 2021
    Assignee: Sequenom, Inc.
    Inventors: Amin Mazloom, Cosmin Deciu, Chen Zhao, Tong Liu, Yijin Wu
  • Publication number: 20210371901
    Abstract: The present invention relates to an in vitro method for detecting methylated DNA comprising (a) coating a container with a polypeptide capable of binding methylated DNA; (b) contacting said polypeptide with a sample comprising methylated and/or unmethylated DNA; and (c) detecting the binding of said polypeptide to methylated DNA. In a preferred embodiment, said method further comprises step (d) analyzing the detected methylated DNA by sequencing. Another aspect of the present invention is a kit for detecting methylated DNA according to the methods of the invention comprising (a) a polypeptide capable of binding methylated DNA; (b) a container which can be coated with said polypeptide; (c) means for coating said container; and (d) means for detecting methylated DNA.
    Type: Application
    Filed: July 26, 2021
    Publication date: December 2, 2021
    Applicant: Sequenom, Inc.
    Inventor: Michael Rehli
  • Patent number: 11180799
    Abstract: Provided are methods for identifying the presence or absence of a chromosome abnormality by which a cell-free sample nucleic acid from a subject is analyzed. In certain embodiments, provided are methods for identifying the presence or absence of a fetal chromosome abnormality in a nucleic acid from cell-free maternal blood.
    Type: Grant
    Filed: February 8, 2018
    Date of Patent: November 23, 2021
    Assignee: Sequenom, Inc.
    Inventors: Mathias Ehrich, Guy Del Mistro, Cosmin Deciu, Yong Qing Chen, Ron Michael McCullough, Roger Chan Tim
  • Publication number: 20210337252
    Abstract: The present application relates to a nucleic acid molecule having a nucleotide sequence encoding a bifunctional polypeptide comprising the DNA-binding domain of a protein belonging to the family of Methyl-CpG binding proteins (MBDs) and the Fc portion of an antibody. In addition, vectors and host cells which comprise said nucleic acid molecule and polypeptides which are encoded by said nucleic acid molecule as well as processes for producing said polypeptide are disclosed. Moreover, the present application provides an antibody specifically binding said polypeptide and compositions, in particular diagnostic compositions comprising the nucleic acid molecule(s), vector(s), host cell(s), polypeptide(s) or antibodie(s) of the present application. Furthermore, methods and uses employing the polypeptides of the present invention for detecting methylated DNA, in particular in tumorous tissue or tumor cells are provided.
    Type: Application
    Filed: December 15, 2020
    Publication date: October 28, 2021
    Applicant: Sequenom, Inc.
    Inventor: Michael Rehli
  • Publication number: 20210272650
    Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations that make use of nucleic acid fragments from circulating cell free nucleic acid. Also provided herein are methods for partitioning one or more genomic regions of a reference genome into a plurality of portions according to one or more features.
    Type: Application
    Filed: January 4, 2021
    Publication date: September 2, 2021
    Applicant: Sequenom, Inc.
    Inventors: Cosmin Deciu, Chen Zhao
  • Patent number: 11060145
    Abstract: Technology provided herein relates in part to methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Grant
    Filed: March 13, 2014
    Date of Patent: July 13, 2021
    Assignee: Sequenom, Inc.
    Inventors: Taylor Jacob Jensen, Mathias Ehrich
  • Patent number: 11004537
    Abstract: Provided in part herein are methods and processes that can be used for non-invasive assessment of a genetic variation which can lead to diagnosis of a particular medical condition or conditions. Such methods and processes can, for example, identify dissimilarities or similarities for one or more features between a subject data set and a reference data set, generate a multidimensional matrix, reduce the matrix into a representation and classify the representation into one or more groups. Methods and processes described herein are applicable to data in biotechnology and other fields.
    Type: Grant
    Filed: July 11, 2017
    Date of Patent: May 11, 2021
    Assignee: Sequenom, Inc.
    Inventors: Lin Tang, Cosmin Deciu
  • Patent number: 11001884
    Abstract: Technology provided herein relates in part to methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Grant
    Filed: July 11, 2017
    Date of Patent: May 11, 2021
    Assignee: Sequenom, Inc.
    Inventors: Dirk Johannes Van Den Boom, Charles R. Cantor, Sung Kyun Kim, Zeljko Dzakula, Cosmin Deciu
  • Patent number: 10964409
    Abstract: Provided herein are methods, processes, systems and machines for non-invasive assessment of genetic variations.
    Type: Grant
    Filed: October 2, 2014
    Date of Patent: March 30, 2021
    Assignee: Sequenom, Inc.
    Inventor: Gregory Hannum
  • Patent number: 10930368
    Abstract: A method and system for analyzing circulating cell-free nucleic acids from a pregnant female with reduced bias, Counts of sequence reads mapped to portions of a reference genome are obtained. A regression model is generated that models the relationship between the counts and the GC content. The read counts are normalized according to the regression model to remove the GC bias. The normalized counts are used for further analysis, such as the detection of fetal aneuploidy.
    Type: Grant
    Filed: April 2, 2014
    Date of Patent: February 23, 2021
    Assignee: Sequenom, Inc.
    Inventors: Zeljko Dzakula, Chen Zhao, Cosmin Deciu
  • Patent number: 10892035
    Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations that make use of nucleic acid fragments from circulating cell free nucleic acid. Also provided herein are methods for partitioning one or more genomic regions of a reference genome into a plurality of portions according to one or more features.
    Type: Grant
    Filed: October 9, 2015
    Date of Patent: January 12, 2021
    Assignee: Sequenom, Inc.
    Inventors: Cosmin Deciu, Chen Zhao
  • Publication number: 20200392579
    Abstract: Improved solid supports and methods for analyzing target nucleotide sequences are provided herein. Certain improvements are directed to efficiently preparing nucleic acids that comprise nucleotide sequences identical to or substantially identical to one or more target nucleotide sequences, or complement thereof. The prepared nucleic acids include a reference sequence that facilitates sequence analysis. The solid supports and methods provided herein minimize the number of steps required by published sequence analysis methodologies, and thereby offer improved sequence analysis efficiency.
    Type: Application
    Filed: June 25, 2020
    Publication date: December 17, 2020
    Applicant: Sequenom, Inc.
    Inventor: Charles R. Cantor
  • Patent number: 10858645
    Abstract: Provided herein are methods and compositions to extract and enrich by, physical separation or amplification, relatively short nucleic acids from a nucleic acid composition containing a high background of longer nucleic acids (e.g., host or maternal nucleic acids; genomic nucleic acid and the like).
    Type: Grant
    Filed: July 17, 2018
    Date of Patent: December 8, 2020
    Assignee: Sequenom, Inc.
    Inventors: Michele Elizabeth Wisniewski, William Hang Kwong, Firouz Mohsenian, Jian-Hua Ding
  • Publication number: 20200362412
    Abstract: Technology provided herein relates in part to methods, processes and apparatuses for non-invasive assessment of genetic variations.
    Type: Application
    Filed: May 27, 2020
    Publication date: November 19, 2020
    Applicant: Sequenom, Inc.
    Inventors: Charles R. Cantor, Grace DeSantis, Reinhold Mueller, Mathias Ehrich