Verinata Health, Inc.

David A Comstock

Richard P Rava

Manjula Chinnappa

Gabrielle Heilek

Brian K Rhees

Darya Chudova

Michael W Hunkapiller

Catalin Barbacioru

Yue-Jen Chuu

Sven Duenwald

Stephen R Quake

Keith W Jones

Anupama Srinivasan

Gengxin Chen

Dimitri Skvortsov

Darya I Chudova

Brian Kent Rhees

Stephen Quake

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.

Methods for determining fraction of fetal nucleic acids in maternal samples

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 from 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.

Simultaneous determination of aneuploidy and fetal fraction

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.

Sequencing methods and compositions for prenatal diagnoses

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.

Using cell-free DNA fragment size to determine copy number variations

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.

Method for determining 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.

Sequencing methods for prenatal diagnoses

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Millbrae, CA, United States of America

David A Comstock