METHODS AND SYSTEMS FOR DETECTING COPY NUMBER ALTERATIONS

    公开(公告)号:US20240420797A1

    公开(公告)日:2024-12-19

    申请号:US18697958

    申请日:2022-10-07

    Abstract: Methods and systems for calling copy number alterations (CNAs), including methods and systems for fitting a grid-based copy number model to sequence read data are described herein. The method can include generating a minor allele coverage ratio and a major allele coverage ratio for a plurality of genetic loci, transforming the allele coverage data, and fitting a copy number grid model to the data. The fit copy number grid model may then be used to assign a copy number state or call a copy number alteration. The copy number grid model and the transformed allele coverage ratio data may be displayed for consideration of the presented model, which allows for more efficient data interpretation and calling of a copy number state or copy number alteration.

    METHODS AND SYSTEMS FOR DETERMINING CIRCULATING TUMOR DNA FRACTION IN A PATIENT SAMPLE

    公开(公告)号:US20250154604A1

    公开(公告)日:2025-05-15

    申请号:US19020349

    申请日:2025-01-14

    Abstract: Methods and systems for determining a tumor DNA fraction for a sample from a subject are described. In some instances, the methods comprise receiving sequence read data for a plurality of sequence reads derived from the sample from the subject; determining a variant allele frequency (VAF) for one or more variants detected in the sample based on the sequence read data; generating an empirical distribution of tumor DNA fraction values as a function of the determined VAF for the one or more variants; fitting a model to the empirical distribution of tumor DNA fraction values; and determining a tumor DNA fraction for the sample based on the model.

    SYSTEMS AND METHODS FOR EVALUATING TUMOR FRACTION

    公开(公告)号:US20220243279A1

    公开(公告)日:2022-08-04

    申请号:US17612966

    申请日:2020-05-20

    Abstract: Disclosed herein are, at least in part, methods of determining a tumor fraction of a sample from a subject. The methods can include, for example, acquiring a value for a target variable associated with a subgenomic interval in the sample; determining, from the target variable, a certainty metric; accessing a determined relationship between a stored certainty metric and a stored tumor fraction; and determining, with reference to the certainty metric and the determined relationship, the tumor fraction of the sample.

    METHODS AND SYSTEMS FOR DETECTING AND REMOVING CONTAMINATION FOR COPY NUMBER ALTERATION CALLING

    公开(公告)号:US20240412812A1

    公开(公告)日:2024-12-12

    申请号:US18698747

    申请日:2022-10-07

    Abstract: Methods and systems for performing iterative contamination detection and segmentation of sequence read data are described. The methods are based on comparing a distribution of minor allele frequencies (MAPs) for a plurality of single nucleotide polymorphisms (SNPs) detected in the sample to an expected distribution of minor allele frequencies for a plurality of selected SNP loci, and adjusting a MAP threshold used to discriminate between aberrant SNPs (SNPs exhibiting a different distribution of MAP values than that expected for the plurality of selected SNPs) and those conforming to the expected distribution of minor allele frequencies for the plurality of selected SNP loci. The methods may be used to estimate the degree of contamination in a sample and to provide segmentation of sequence read data for the sample, and may further comprise building a copy number model that predicts a copy number for one or more gene loci.

    METHODS AND SYSTEMS FOR AUTOMATED CALLING OF COPY NUMBER ALTERATIONS

    公开(公告)号:US20240404626A1

    公开(公告)日:2024-12-05

    申请号:US18698746

    申请日:2022-10-07

    Abstract: Methods and systems for automated calling of copy number alterations (CNAs) are described. The methods and systems utilize sequencing-based coverage ratio data, allele fraction data, segmentation data, and copy number model data for one or more gene loci within one or more subgenomic intervals in a sample from a subject to detect amplifications and deletions of gene loci, and apply a number of thresholds and filters to provide automated calling of CNAs with improved reliability while eliminating the need for process-matched controls and manual curation of the sequencing data.

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