Abstract:
Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations that make use of decision analyses. The decision analyses sometimes include segmentation analyses and/or odds ratio analyses.
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.
Abstract:
Technology provided herein relates in part to methods, processes, machines and apparatuses for detecting genetic variations. In some embodiments, the technology is related to non-invasive assessment of aneuploidies.
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 a set of sequence reads. The sequence reads each include a single molecule barcode (SMB) sequence that is a non-random oligonucleotide sequence. The method further includes assigning the sequence reads to read groups according to a read group signature. The read group signature comprises an SMB sequence and a start and end position of a nucleic acid fragment from the circulating cell free sample nucleic acid. The sequence reads comprising start and end positions and an SMB sequence similar to the read group signature are assigned to a read group. The method further includes generating a consensus for each read group, and determining the presence or absence of a genetic alteration based on the consensus for each read group.
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.
Abstract:
Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations that make use of decision analyses. The decision analyses sometimes include segmentation analyses and/or odds ratio analyses.