Disclosed are methods for determining copy number variation (CNV) known or suspected to be associated with a variety of medical conditions. In some embodiments, methods are provided for determining copy number variation of fetuses using maternal samples comprising maternal and fetal cell free DNA. In some embodiments, methods are provided for determining CNVs known or suspected to be associated with a variety of medical conditions. Some embodiments disclosed herein provide methods to improve the sensitivity and/or specificity of sequence data analysis by deriving a fragment size parameter. In some implementations, information from fragments of different sizes are used to evaluate copy number variations. In some implementations, one or more t-statistics obtained from coverage information of the sequence of interest is used to evaluate copy number variations. In some implementations, one or more fetal fraction estimates are combined with one or more t-statistics to determine copy number variations.
Disclosed are methods for determining copy number variation (CNV) known or suspected to be associated with a variety of medical conditions. In some embodiments, methods are provided for determining copy number variation (CNV) of fetuses using maternal samples comprising maternal and fetal cell free DNA. In some embodiments, methods are provided for determining CNVs known or suspected to be associated with a variety of medical conditions. Some embodiments disclosed herein provide methods to improve the sensitivity and/or specificity of sequence data analysis by deriving a fragment size parameter, such as a size-weighted coverage or a fraction of fragments in a size range. In some embodiments, the fragment size parameter is adjusted to remove within-sample GC-content bias. In some embodiments, removal of within-sample GC-content bias is based on sequence data corrected for systematic variation common across unaffected training samples. Also disclosed are systems and computer program products for evaluation of CNV of sequences of interest.
Disclosed are methods for determining copy number variation (CNV) known or suspected to be associated with a variety of medical conditions, including syndromes related to CNV of subchromosomal regions wherein the bins from the unaffected training samples used as controls have a coverage similar to the coverage of the region inspected for CNV. In some embodiments, methods are provided for determining CNV of fetuses using maternal samples comprising maternal and fetal cell free DNA. Some embodiments disclosed herein provide methods to improve the sensitivity and/or specificity of sequence data analysis by removing within-sample GC-content bias. In some embodiments, removal of within-sample GC-content bias is based on sequence data corrected for systematic variation common across unaffected training samples. In some embodiments, syndrome related biases in sample data are also removed to increase signal to noise ratio. Also disclosed are systems for evaluation of CNV of sequences of interest.
Disclosed are methods for determining copy number variation (CNV) known or suspected to be associated with a variety of medical conditions. In some embodiments, methods are provided for determining copy number variation (CNV) of fetuses using maternal samples comprising maternal and fetal cell free DNA. In some embodiments, methods are provided for determining CNVs known or suspected to be associated with a variety of medical conditions. Some embodiments disclosed herein provide methods to improve the sensitivity and/or specificity of sequence data analysis by removing within-sample GC-content bias. In some embodiments, removal of within-sample GC-content bias is based on sequence data corrected for systematic variation common across unaffected training samples. Also disclosed are systems and computer program products for evaluation of CNV of sequences of interest.
The invention provides methods for determining copy number of the Y chromosome, including, but not limited to, methods for gender determination or Y chromosome aneuploidy of fetus using maternal samples comprising maternal and fetal cell free DNA. Some embodiments disclosed herein describe a strategy for filtering out (or masking) non-discriminant sequence reads on chromosome Y using representative training set of female samples. In some embodiments, this filtering strategy is also applicable to filtering autosomes for evaluation of copy number variation of sequences on the autosomes. In some embodiments, methods are provided for determining copy number variation (CNV) of any fetal aneuploidy, and CNVs known or suspected to be associated with a variety of medical conditions. Also disclosed are systems for evaluation of CNV of sequences of interest on the Y chromosome and other chromosomes.
The disclosure provides methods and kits for preparing sequencing library to detect chromosomal abnormality using cell-free DNA (cfDNA) without the need of first isolating the cfDNA from a liquid fraction of a test sample. In some embodiments, the method involves reducing the binding between the cfDNA and nucleosomal proteins without unwinding the cfDNA from the nucleosomal proteins. In some embodiments, the reduction of binding may be achieved by treating with a detergent or heating. In some embodiments, the method further involves freezing and thawing the test sample before reducing the binding between the cfDNA and the nucleosomal proteins. In some embodiments, the test sample is a peripheral blood sample from a pregnant woman including cfDNA of both a mother and a fetus, wherein the methods may be used to detect fetal chromosomal abnormality such as copy number variation. In other embodiments, the test sample is a peripheral blood sample from a patient known or suspected to have cancer, wherein the methods can be used to detect chromosomal abnormalities in the cfDNA of the patient. Kits for detection of copy number variation of the fetus using the disclosed methods are also provided
The disclosure provides methods and kits for preparing sequencing library to detect chromosomal abnormality using cell-free DNA (cfDNA) without the need of first isolating the cfDNA from a liquid fraction of a test sample. In some embodiments, the method involves reducing the binding between the cfDNA and nucleosomal proteins without unwinding the cfDNA from the nucleosomal proteins. In some embodiments, the reduction of binding may be achieved by treating with a detergent or heating. In some embodiments, the method further involves freezing and thawing the test sample before reducing the binding between the cfDNA and the nucleosomal proteins. In some embodiments, the test sample is a peripheral blood sample from a pregnant woman including cfDNA of both a mother and a fetus, wherein the methods may be used to detect fetal chromosomal abnormality such as copy number variation. In other embodiments, the test sample is a peripheral blood sample from a patient known or suspected to have cancer, wherein the methods can be used to detect chromosomal abnormalities in the cfDNA of the patient. Kits for detection of copy number variation of the fetus using the disclosed methods are also provided.
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 accord ing 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.
ABSTRACT OF THE DISCLOSURE 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 present 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. Any aneuploidy can be determined from sequencing information that is obtained by sequencing only once the nucleic acids of a test sample.
Methods of reliably estimating genomic fraction (e.g., fetal fraction) from polymorphisms such as small base variations or insertions-deletions are disclosed. Sequenced data from a multigenomic source is used to determine allele counts for one or more of the polymorphisms. For one or more of the polymorphisms, zygosity is assigned, and genomic fraction is determined from the zygosity and allele counts. Certain embodiments employ SNPs as the relevant polymorphism. The disclosed methods can be applied as part of an intentional, pre-designed re-sequencing study targeted against known polymorphisms or can be used in a retrospective analysis of variations found by coincidence in overlapping sequences generated from maternal plasma (or any other setting where a mixture of DNA from several people are present).
The invention provides compositions and methods for determining the fraction of fetal nucleic acids in a maternal sample comprising a mixture of fetal and maternal nucleic acids. The fraction of fetal nucleic acids can be used in determining the presence or absence of fetal aneuploidy.
C12Q 1/6809 - Methods for determination or identification of nucleic acids involving differential detection
C12P 19/34 - Polynucleotides, e.g. nucleic acids, oligoribonucleotides
C40B 30/04 - Methods of screening libraries by measuring the ability to specifically bind a target molecule, e.g. antibody-antigen binding, receptor-ligand binding
12.
SIMULTANEOUS DETERMINATION OF ANEUPLOIDY AND FETAL FRACTION
The invention provides compositions and methods for simultaneously determining the presence or absence of fetal aneuploidy and the relative amount of fetal nucleic acids in a sample obtained form a pregnant female. The method encompasses the use of sequencing technologies and exploits the occurrence of polymorphisms to provide a streamlined noninvasive process applicable to the practice of prenatal diagnostics.
Methods are disclosed for resolving measurement problems such problems in measuring chromosomal copy number. Some disclosed methods involve first selecting a primary assay element characteristic to partition. Such characteristic may be a source of experimental variability such as the GC content of measured DNA sequences. Additionally, the disclosed methods may employ an abundance or copy number function to transform the assay element frequencies into an abundance, dose, copy number score, or the like. In some cases, the disclosed methods estimate an amount of certain fetal DNA in a sample. The methods can further compare the estimated amount to a measured amount of fetal DNA in the sample. The comparison can be used to determine the fetal sex or aneuploidy.
14.
METHOD FOR IDENTIFYING A FETAL ANEUPLOIDY OF A CHROMOSOME OF INTEREST
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.
The invention provides methods for determining aneuploidy and/or fetal fraction in maternal samples comprising fetal and maternal cfDNA by massively parallel sequencing. The method comprises a novel protocol for preparing sequencing libraries that unexpectedly improves the quality of library DNA while expediting the process of analysis of samples for prenatal diagnoses.
The present invention provides systems, apparatuses, and methods to detect the presence of fetal cells when mixed with a population of maternal cells in a sample and to test fetal abnormalities, e.g. aneuploidy. The present invention involves labeling regions of genomic DNA in each cell in said mixed sample with different labels wherein each label is specific to each cell and quantifying the labeled regions of genomic DNA from each cell in the mixed sample. More particularly the invention involves quantifying labeled DNA polymorphisms from each cell in the mixed sample.
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