METHODS AND SYSTEMS FOR ADJUSTING TUMOR MUTATIONAL BURDEN BY TUMOR FRACTION AND COVERAGE

    公开(公告)号:US20220098671A1

    公开(公告)日:2022-03-31

    申请号:US17387830

    申请日:2021-07-28

    Abstract: Provided herein are methods for detecting tumor mutational burden (TMB) in subjects. In one aspect, the methods include determining observed mutational counts from sequence information obtained from nucleic acids in samples from the subjects and determining a tumor fraction and/or a coverage of the nucleic acids to generate sequencing parameters. The methods also include determining an expected mutational fraction and/or an expected distribution of the expected mutational fraction given the sequencing parameters to generate an expected result, and adjusting the observed mutational count given the expected result to generate an adjusted result, thereby detecting the TMB in the subject. Other aspects are directed to methods of selecting customized therapies for treating cancer in subjects, and methods of treating cancer in subjects. Yet other aspects include related systems and computer readable media used to detect TMB in subjects.

    METHODS AND SYSTEMS FOR ADJUSTING TUMOR MUTATIONAL BURDEN BY TUMOR FRACTION AND COVERAGE

    公开(公告)号:US20200370129A1

    公开(公告)日:2020-11-26

    申请号:US16917582

    申请日:2020-06-30

    Abstract: Provided herein are methods for detecting tumor mutational burden (TMB) in subjects. In one aspect, the methods include determining observed mutational counts from sequence information obtained from nucleic acids in samples from the subjects and determining a tumor fraction and/or a coverage of the nucleic acids to generate sequencing parameters. The methods also include determining an expected mutational fraction and/or an expected distribution of the expected mutational fraction given the sequencing parameters to generate an expected result, and adjusting the observed mutational count given the expected result to generate an adjusted result, thereby detecting the TMB in the subject. Other aspects are directed to methods of selecting customized therapies for treating cancer in subjects, and methods of treating cancer in subjects. Yet other aspects include related systems and computer readable media used to detect TMB in subjects.

    COMPUTATIONAL MODELING OF LOSS OF FUNCTION BASED ON ALLELIC FREQUENCY

    公开(公告)号:US20200273538A1

    公开(公告)日:2020-08-27

    申请号:US16803680

    申请日:2020-02-27

    Abstract: The disclosure relates to computer technology for precision diagnosis of various states of genetic material such as a gene sequenced from cell-free DNA in a sample. The state may include a somatic homozygous deletion, a somatic heterozygous deletion, a copy number variation, or other states. A computer system may generate competing probabilistic models that each output a probability that the genetic material is in a certain state. Each model may be trained on a training sample set to output a probability that the genetic material is in a respective state. In some embodiments, the computer system may use various probabilistic distributions to generate the models. For example, the computer system may use a beta-binomial distribution, a binomial distribution, a normal (also referred to as “Gaussian”) distribution, or other type of probabilistic modeling techniques.

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