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
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
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.
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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