Copy number alteration and reference genome mapping

    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.

    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.

    METHODS FOR NON-INVASIVE ASSESSMENT OF GENETIC VARIATIONS

    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.

    CPC classification number: G16B20/10 C12Q1/68 G16B20/20 G16B30/10 G16B40/00

    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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