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公开(公告)号:US11515003B2
公开(公告)日:2022-11-29
申请号:US15661942
申请日:2017-07-27
Applicant: Sequenom, Inc.
Inventor: Youting Sun , Sung Kyun Kim , Mathias Ehrich , Christopher Ellison , Taylor Jensen , Amin Mazloom
Abstract: Technology provided herein relates in part to methods, processes, machines and apparatuses for non-invasive assessment of genomic nucleic acid instability and genomic nucleic acid stability. The method comprises providing a set of genomic portions each coupled to a copy number alteration quantification for a test sample, wherein the genomic portions comprises portions of a reference genome to which sequence reads obtained for nucleic acid from a test sample obtained from the subject have been mapped, and the copy number alteration quantification coupled to each genomic portion has been determined from a quantification of sequence reads mapped to the genomic portion; and determining, by a computing device, presence or absence of genomic instability for the subject according to the copy number alteration quantifications coupled to the genomic portions.
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公开(公告)号:US20140100792A1
公开(公告)日:2014-04-10
申请号:US13781530
申请日:2013-02-28
Applicant: SEQUENOM, INC.
Inventor: Cosmin Deciu , Zeljko Dzakula , Amin Mazloom
CPC classification number: G16B40/00 , C12Q1/6869 , C12Q1/6883 , C12Q2545/101 , C12Q2545/114 , G16B30/00
Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations.
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公开(公告)号:US12112832B2
公开(公告)日:2024-10-08
申请号:US16573161
申请日:2019-09-17
Applicant: SEQUENOM, INC.
Inventor: Cosmin Deciu , Zeljko Dzakula , Amin Mazloom
IPC: G16B20/10 , C12Q1/6869 , C12Q1/6883 , G16B30/00 , G16B30/10 , G16B30/20 , G16B40/00
CPC classification number: G16B20/10 , C12Q1/6869 , C12Q1/6883 , G16B30/00 , G16B30/10 , G16B30/20 , G16B40/00 , C12Q2545/101 , C12Q2545/114
Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations.
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公开(公告)号:US20220093207A1
公开(公告)日:2022-03-24
申请号:US17544537
申请日:2021-12-07
Applicant: Sequenom, Inc.
Inventor: Amin Mazloom , Cosmin Deciu , Chen Zhao , Tong Liu , Yijin Wu
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.
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公开(公告)号:US20230187021A1
公开(公告)日:2023-06-15
申请号:US18045279
申请日:2022-10-10
Applicant: Sequenom, Inc.
Inventor: Youting Sun , Sung Kyun Kim , Mathias Ehrich , Christopher Ellison , Taylor Jensen , Amin Mazloom
Abstract: Technology provided herein relates in part to methods, processes, machines and apparatuses for non-invasive assessment of genomic nucleic acid instability and genomic nucleic acid stability.
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公开(公告)号:US11200963B2
公开(公告)日:2021-12-14
申请号:US15661804
申请日:2017-07-27
Applicant: Sequenom, Inc.
Inventor: Amin Mazloom , Cosmin Deciu , Chen Zhao , Tong Liu , Yijin Wu
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.
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公开(公告)号:US20210358565A1
公开(公告)日:2021-11-18
申请号:US16479864
申请日:2018-01-24
Applicant: Sequenom, Inc.
Inventor: John A. Tynan , Amin Mazloom , Yijin Wu , Mark Whidden , Mathias Ehrich
IPC: G16B20/10
Abstract: Technology provided herein relates in part to non-invasive classification of one or more genetic copy number variations (CNVs) for a test sample. Technology provided herein is useful for classifying a genetic CNV for a sample as part of non-invasive pre-natal (NIPT) testing and oncology testing, for example.
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公开(公告)号:US10482994B2
公开(公告)日:2019-11-19
申请号:US13781530
申请日:2013-02-28
Applicant: SEQUENOM, INC.
Inventor: Cosmin Deciu , Zeljko Dzakula , Amin Mazloom
IPC: G16B40/00 , G16B30/00 , C12Q1/6883 , C12Q1/6869
Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations.
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公开(公告)号:US20240290423A1
公开(公告)日:2024-08-29
申请号:US18429954
申请日:2024-02-01
Applicant: Sequenom, Inc.
Inventor: Mostafa Azab , Michael Sykes , Youting Sun , Amin Mazloom , Taylor Jensen , Mathias Ehrich , Christopher Ellison
Abstract: Technology provided herein relates in part to methods, processes, machines and apparatuses for non-invasive assessment of genetic alterations. In particular, a method is provided for that includes obtaining nucleic acid fragments from a sample from a test subject; sequencing the sequence constructs to obtain sequence reads; demultiplexing the sequence reads to a first and a second subset of sequences reads; generating a first set of consensus reads that correspond to the first nucleic acid fragment based on SMBs associated with the first subset of sequences reads; generating a second set of consensus reads that correspond to the second nucleic acid fragment based on SMBs associated with the second subset of sequences reads; and determining a presence of one or more genetic alterations for the test subject based on the two sets of consensus reads.
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公开(公告)号:US20240233866A1
公开(公告)日:2024-07-11
申请号:US18429893
申请日:2024-02-01
Applicant: SEQUENOM, INC.
Inventor: Yijin Wu , Amin Mazloom , Yang Zhong , Mostafa Azab
Abstract: The present invention relates to systems and methods for non-invasive assessment of genetic variation. In particular, aspects are directed to a computer-implemented method that includes ligating nucleic acid molecules with adapters to generate sequence constructs, sequencing the sequence constructs to obtain sequence reads, generating an alignment computer file including on-target sequence reads and associated genomic positioning data, generating a probe coverage data file for the sample using the on-target sequence reads and the associated genomic positioning data, generating segments and associated probe coverage quantification data for each segment using a segmentation model and the probe coverage data file, identifying genes overlapping with the segments, generating filtered segments based on the identified genes, and determining a presence or absence of a genetic variation in the sample based on the filtered segments.
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