Abstract: Provided herein are methods of generating a homologous recombination repair deficiency (HRD) score, determining a reference HRD score, determining a HRD status of a test subject having one or more cancer types, and/or treating a disease based on HRD status. Additional methods as well as related systems, apparatuses, and computer readable media are also provided.

Abstract: Provided herein are methods of determining a molecular response score. The molecular response score may be used to monitor and guide administration of treatment to a subject.

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.

Abstract: Provided herein are methods of generating a homologous recombination repair deficiency (HRD) score, determining a reference HRD score, determining a HRD status of a test subject having one or more cancer types, and/or treating a disease based on HRD status. Additional methods as well as related systems, apparatuses, and computer readable media are also provided.

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.

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.

Abstract: In an aspect, a method of identifying a somatic or germline origin of a nucleic acid variant from a sample of nucleic acid molecules comprises: determining quantitative measures for the nucleic acid variant comprising total allele count and minor allele count for the nucleic acid variant; identifying an associated variable of the nucleic acid variant; determining quantitative value for the associated variable; generating a statistical model for expected germline mutant allele counts at a genomic locus of the nucleic acid variant; generating a probability value (p-value) for the nucleic acid variant based at least in part on the statistical model, the quantitative value, and at least one of the quantitative measures; and classifying the nucleic acid variant as (i) being of somatic origin when the p-value is below a predetermined threshold value, or as (ii) being of germline origin when the p-value is at or above the predetermined threshold value.