The present invention belongs to the field of diagnosis of disease. Thus the present invention is focused on a method and kit and system for quantifying the level of minimal residual disease (MRD) in a subject who has been treated for said disease, as well as a method of treatment of said disease in a subject which comprises a step of quantifying the level of minimal residual diseases, wherein said quantifying comprises: (a) identifying, amplifying and sequencing a nucleotide sequence in a biological sample obtained from said subject after treatment for said disease, wherein the gDNA of said biological sample has an average weight, k, per cell, and wherein said nucleotide sequence is identified using primers and is amplified using an amount, D, to afford a first list of characters; (b) identifying, amplifying and sequencing a nucleotide sequence in a biological sample obtained from a subject with said disease using the same primers as in step (a) to afford a second list of characters; (c) determining, for each first list of characters obtained in step (a), the degree of similarity, DS, with each second list of characters obtained in step (b); (d) selecting, for each first list of characters obtained in step (a), the DS of highest value, DS.sub.HV; (e) adding up the number of first lists of characters obtained in step (a) which have a DS.sub.HV that is greater than a threshold value, T, to obtain L.sub.c; (f) adding up the total number of lists of characters, L.sub.t, in the first list of characters; and (g) calculating the level of minimal residual disease (MRD) according to either of the following formulae:
MRD=(L.sub.c×k)/(L.sub.t×D)
or
MRD=L.sub.c/L.sub.t
or
MRD=L.sub.c×(D/k)/L.sub.t.sup.2.

The present invention belongs to the field of diagnosis of disease. Thus the present invention is focused on a method and kit and system for quantifying the level of minimal residual disease (MRD) in a subject who has been treated for said disease, as well as a method of treatment of said disease in a subject which comprises a step of quantifying the level of minimal residual diseases, wherein said quantifying comprises: (a) identifying, amplifying and sequencing a nucleotide sequence in a biological sample obtained from said subject after treatment for said disease, wherein the gDNA of said biological sample has an average weight, k, per cell, and wherein said nucleotide sequence is identified using primers and is amplified using an amount, D, to afford a first list of characters; (b) identifying, amplifying and sequencing a nucleotide sequence in a biological sample obtained from a subject with said disease using the same primers as in step (a) to afford a second list of characters; (c) determining, for each first list of characters obtained in step (a), the degree of similarity, DS, with each second list of characters obtained in step (b); (d) selecting, for each first list of characters obtained in step (a), the DS of highest value, DS.sub.HV; (e) adding up the number of first lists of characters obtained in step (a) which have a DS.sub.HV that is greater than a threshold value, T, to obtain L.sub.c; (f) adding up the total number of lists of characters, L.sub.t, in the first list of characters; and (g) calculating the level of minimal residual disease (MRD) according to either of the following formulae:
MRD=(L.sub.c×k)/(L.sub.t×D)
or
MRD=L.sub.c/L.sub.t
or
MRD=L.sub.c×(D/k)/L.sub.t.sup.2.

Embodiments of a method and/or system can include generating a set of quality control template (QCT) molecules; determining a set of QCT sequence read clusters based on the set of QCT molecules, such as based on variation regions of the set of QCT molecules; and based on the set of QCT sequence read clusters, determining a sequencing-related parameter, such as a contamination parameter and/or molecule count parameter, associated with the at least one of sequencing library preparation and sequencing.

Embodiments of a method and/or system can include generating a set of quality control template (QCT) molecules; determining a set of QCT sequence read clusters based on the set of QCT molecules, such as based on variation regions of the set of QCT molecules; and based on the set of QCT sequence read clusters, determining a sequencing-related parameter, such as a contamination parameter and/or molecule count parameter, associated with the at least one of sequencing library preparation and sequencing.

The present disclosure provides methods for detecting or predicting genomic scarring, for use in the field of diagnostic assays and for selecting treatment regimens for human diseases such as cancer.

The present disclosure provides methods for detecting or predicting genomic scarring, for use in the field of diagnostic assays and for selecting treatment regimens for human diseases such as cancer.

Methods and systems for highly sensitive detection of methylation changes in DNA samples are provided, particularly in DNA samples obtained from biological fluids such as plasma and urine.

Methods and systems for highly sensitive detection of methylation changes in DNA samples are provided, particularly in DNA samples obtained from biological fluids such as plasma and urine.

The invention provides a method for determining copy number variations (CNV) of a sequence of interest in a test sample that comprises a mixture of nucleic acids that are known or are suspected to differ in the amount of one or more sequence of interest. The method comprises a statistical approach that accounts for accrued variability stemming from process-related, interchromosomal and inter-sequencing variability. The method is applicable to determining CNV of any fetal aneuploidy, and CNVs known or suspected to be associated with a variety of medical conditions. CNV that can be determined according to the method include trisomies and monosomies of any one or more of chromosomes 1-22, X and Y, other chromosomal polysomies, and deletions and/or duplications of segments of any one or more of the chromosomes, which can be detected by sequencing only once the nucleic acids of a test sample.

The invention provides a method for determining copy number variations (CNV) of a sequence of interest in a test sample that comprises a mixture of nucleic acids that are known or are suspected to differ in the amount of one or more sequence of interest. The method comprises a statistical approach that accounts for accrued variability stemming from process-related, interchromosomal and inter-sequencing variability. The method is applicable to determining CNV of any fetal aneuploidy, and CNVs known or suspected to be associated with a variety of medical conditions. CNV that can be determined according to the method include trisomies and monosomies of any one or more of chromosomes 1-22, X and Y, other chromosomal polysomies, and deletions and/or duplications of segments of any one or more of the chromosomes, which can be detected by sequencing only once the nucleic acids of a test sample.