Verinata Health, Inc.

Illumina Corporation

Anupama Srinivasan

Richard P Rava

Darya Chudova

David A Comstock

Manjula Chinnappa

Darya I Chudova

Disclosed are methods for determining at least one sequence of interest of a fetus of a pregnant mother. In various embodiments, the method can determine one or more sequences of interest in a test sample that comprises a mixture of maternal cellular DNA and mother-and-fetus cfDNA. In some embodiments, methods are provided for determining whether the fetus has a genetic disease. In some embodiments, methods are provided for determining whether the fetus is homozygous in a disease causing allele when the mother is heterozygous of the same allele. In some embodiments, methods are provided for determining whether the fetus has a copy number variation (CNV) or a non-CNV genetic sequence anomaly.

Non-invasive prenatal diagnosis of fetal genetic condition using cellular DNA and cell free DNA

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.

Detecting and classifying copy number variation

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. In other embodiments, the test sample is a peripheral blood sample from a patient known or suspected to have cancer.

Generating cell-free DNA libraries directly from blood

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.

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Redwood City, CA, United States of America

Anupama Srinivasan