The Chinese University of Hong Kong

Grail, Inc.

Centre for Novostics

Peiyong Jiang

Kwan Chee Chan

Rossa Wai Kwun Chiu

Yuk-Ming Dennis Lo

Yuk Ming Dennis Lo

Wai Kwun Rossa Chiu

Wai Kei Lam

Wenli Zheng

Kun Sun

Jiawei Liao

Suk Hang Cheng

Miu Fan Lun

Wai Man Chan

Wenlei Peng

Cheuk Yin Jandy Yu

Cheuk Yin Yu

Yee Ting Cheung

Bo Yin Tsui

Lu Ji

Haiqiang Zhang

On Yee Tse

Eugeni A Namsaraev

Tak Yeung Leung

Wai Kwun Rossa Chu

Guannan Kang

Rong Qiao

Qing Zhou

Jiaen Deng

Si Long Vong

Cheuk Ho Tsang

Tsz Kwan Sin

Hua Tse Timothy Cheng

Wing Yan Chan

Systems, methods, and apparatuses can determine and use methylation profiles of various tissues and samples. Examples are provided. A methylation profile can be deduced for fetal/tumor tissue based on a comparison of plasma methylation (or other sample with cell-free DNA) to a methylation profile of the mother/patient. A methylation profile can be determined for fetal/tumor tissue using tissue-specific alleles to identify DNA from the fetus/tumor when the sample has a mixture of DNA. A methylation profile can be used to determine copy number variations in genome of a fetus/tumor. Methylation markers for a fetus have been identified via various techniques. The methylation profile can be determined by determining a size parameter of a size distribution of DNA fragments, where reference values for the size parameter can be used to determine methylation levels. Additionally, a methylation level can be used to determine a level of cancer.

Non-invasive detection of tissue abnormality using methylation

Systems, apparatuses, and method are provided for determining the contributions of different tissues to a biological sample that includes a mixture of cell-free DNA molecules from various tissues types, e.g., as occurs in plasma or serum and other body fluids. Embodiments can analyze the methylation patterns of the DNA mixture (e.g., methylation levels at particular loci) for a particular haplotype and determine fractional contributions of various tissue types to the DNA mixture, e.g., of fetal tissue types or tissue types of specific organs that might have a tumor. Such fractional contributions determined for a haplotype can be used in a variety of ways.

Methylation pattern analysis of haplotypes in tissues in a DNA mixture

Fragmentation of cell-free DNA molecules is measured and used for various purposes, including determining methylation, e.g., at a particular site of a DNA molecule, at a particular genomic site in a reference genome for a biological sample (e.g., plasma, serum, urine, saliva) of cell-free DNA of a subject, or for a particular region in the reference genome for the biological sample (also just referred to as a sample). Various types of fragmentation measurements can be used, e.g., end motifs and cleavage profiles. Another purpose is determining a fractional concentration of DNA of a particular tissue type (e.g., clinically-relevant DNA). Another purpose is determining a pathology of a subject using a biological sample including cell-free DNA. The cell-free DNA can be of the subject or of a pathogen (e.g., a virus) in the subject's sample. Sites/regions that are hypermethylated, hypomethylated, 5hmC-enriched, and 5hmC-depleted for a particular tissue type can be used.

Fragmentation for measuring methylation and disease

Size-band analysis is used to determine whether a chromosomal region exhibits a copy number aberration or an epigenetic alteration. Multiple size ranges may be analyzed instead of focusing on specific sizes. By using multiple size ranges instead of specific sizes, methods may analyze more sequence reads and may be able to determine whether a chromosomal region exhibits a copy number aberration even when clinically-relevant DNA may be a low fraction of the biological sample. Using multiple ranges may allow for the use of all sequence reads from a genomic region, rather than a selected subset of reads in the genomic region. The accuracy of analysis may be increased with higher sensitivity at similar or higher specificity. Analysis may include fewer sequencing reads to achieve the same accuracy, resulting in a more efficient process.

Using nucleic acid size range for noninvasive cancer detection

Cell-free DNA molecules in a mixture of a biological sample can be analyzed to detect viral DNA. Methylation of viral DNA molecules at one or more sites in the viral genome can be determined. Mixture methylation level(s) can be measured based on one or more amounts of the plurality of cell-free DNA molecules methylated at a set of site(s) of the particular viral genome. The mixture methylation level(s) can be determined in various ways, e.g., as a density of cell-free DNA molecules that are methylated at a site or across multiple sites or regions. The mixture methylation level(s) can be compared to reference methylation level(s), e.g., determined from at least two cohorts of other subjects. The cohorts can have different classifications (including the first condition) associated with the particular viral genome. A first classification of whether the subject has the first condition can be determined based on the comparing.

Enhancement of cancer screening using cell-free viral nucleic acids

An aberration in a fetal genome can be identified by analyzing a sample of fetal and maternal DNA. Classifications of whether an aberration (amplification or deletion) exists in a subchromosomal region are determined using count-based and size-based methods. The count classification and the size classification can be used in combination to determine whether only the fetus or only the mother, or both, have the aberration in the subchromosomal region, thereby avoiding false positives when the mother has the aberration and the fetus does not.

Combined size- and count-based analysis of maternal plasma for detection of fetal subchromosomal aberrations

Methods and systems described herein involve using long cell-free DNA fragments to analyze a biological sample from a pregnant subject. The status of methylated CpG sites and single nucleotide polymorphisms (SNPs) is often used to analyze DNA fragments of a biological sample. A CpG site and a SNP are typically separated from the nearest CpG site or SNP by hundreds or thousands of base pairs. Finding two or more consecutive CpG sites or SNPs on most cell-free DNA fragments is improbable or impossible. Cell-free DNA fragments longer than 600 bp may include multiple CpG sites and/or SNPs. The presence of multiple CpG sites and/or SNPs on long cell-free DNA fragments may allow for analysis than with short cell-free DNA fragments alone. The long cell-free DNA fragments can be used to identify a tissue of origin and/or to provide information on a fetus in a pregnant female.

Molecular analyses using long cell-free fragments in pregnancy

Techniques are provided for analyzing circular DNA in a biological sample (e.g., including cell-free DNA, such as plasma). For example, to measure circular DNA, cleaving can be performed to linearize the circular DNA so that they may be sequenced. Example cleaving techniques include restriction enzymes and transposases. Then, one or more criteria can be used to identify linearized DNA molecules, e.g., so as to differentiate from linear DNA molecules. An example criterion is mapping a pair of reversed end sequences to a reference genome. Another example criterion is identification of a cutting tag, e.g., associated with a restriction enzyme or an adapter sequence added by a transposase. Once circular DNA molecules (e.g., eccDNA and circular mitochondrial DNA) are identified, they may be analyzed (e.g., to determine a count, size profile, and/or methylation) to measure a property of the biological sample, including genetic properties and level of a disease.

Determining linear and circular forms of circulating nucleic acids

Embodiments of the present invention provide methods, systems, and apparatus for deducing the fetal DNA fraction in maternal plasma without using paternal or fetal genotypes. Maternal genotype information may be obtained from a maternal-only DNA sample or may be assumed from shallow-depth sequencing of a biological sample having both maternal and fetal DNA molecules. Because sequencing may be at shallow depths, a locus may have only few reads and may fail to exhibit a non-maternal allele even if a non-maternal allele is present. However, normalized parameters that characterize non-maternal alleles sequenced can be used to provide an accurate estimate of the fetal DNA fraction, even if the amount of non-maternal alleles is in error. Methods described herein may not need high-depth sequencing or enrichment of specific regions. As a result, these methods can be integrated into widely used non-invasive prenatal testing and other diagnostics.

Accurate deduction of fetal DNA fraction with shallow-depth sequencing of maternal plasma

Systems, apparatus, and methods are provided for determining aberrations in a biological sample from an organism. Biological samples including cell-free DNA fragments are analyzed to identify imbalances in chromosomal regions, e.g., due to deletions and/or amplifications in a tumor. Multiple loci are used for each chromosomal region. Imbalances can be used to diagnose a patient for cancer, prognosticate a patient with cancer, or to detect the presence or monitor progress of a premalignant condition. The severity of an imbalance as well as the number of regions exhibiting an imbalance can be used. A systematic analysis of non-overlapping segments of a genome can provide a general screening tool for a sample. Additionally, a patient can be tested over time to track severity of each of one or more chromosomal regions and a number of chromosomal regions to enable screening and prognosticating, as well as monitoring of progress (e.g. after treatment).

Determining progress of chromosomal aberrations over time

The contributions of different tissues to a DNA mixture are determined using methylation levels at particular genomic sites. Tissue-specific methylation levels of M tissue types can be used to deconvolve mixture methylation levels measured in the DNA mixture, to determine fraction contributions of each of the M tissue types. Various types of genomic sites can be chosen to have particular properties across tissue types and across individuals, so as to provide increased accuracy in determining contributions of the various tissue types. The fractional contributions can be used to detect abnormal contributions of a particular tissue, indicating a disease state for the tissue. A differential in fractional contributions for different sizes of DNA fragments can also be used to identify a diseased state of a particular tissue. A sequence imbalance for a particular chromosomal region can be detected in a particular tissue, e.g., identifying a location of a tumor.

Methylation pattern analysis of tissues in a DNA mixture

Methods are provided for diagnosing pregnancy-associated disorders, determining allelic ratios, determining maternal or fetal contributions to circulating transcripts, and/or identifying maternal or fetal markers using a sample from a pregnant female subject. Also provided is use of a gene for diagnosing a pregnancy-associated disorder in a pregnant female subject.

Maternal plasma transcriptome analysis by massively parallel RNA sequencing

The quality of cell-free DNA for analysis is improved by techniques described herein. Cell-free DNA may include DNA with defects that do not allow for analysis of those DNA with techniques such as sequencing and targeted capture enrichment. These defects may be defects within the strands of the DNA and not present at the ends of the DNA. These intrastrand defects in cell-free DNA can be repaired. The repair of the defects in cell-free DNA may then allow for these repaired cell-free DNA to be analyzed by techniques, including sequencing and targeted capture enrichment.

Cell-free DNA quality

Disclosed herein are methods, systems, and apparatus for detecting microamplifications or microdeletions in the genome of a fetus. In some embodiments, the method comprises receiving sequence tags for each of a plurality of DNA fragments in a biological sample; determining genomic positions for the sequence tags; determining whether the density of DNA in each of a plurality of genomic regions is aberrantly high or low; identifying as a microamplification a set of consecutive genomic regions having aberrantly high density; and identifying as a microdeletion a set of consecutive genomic regions having aberrantly low density. The biological sample may be a blood sample obtained noninvasively from a female subject pregnant with the fetus.

Noninvasive prenatal molecular karyotyping from maternal plasma

Factors affecting the fragmentation pattern of cell-free DNA (e.g., plasma DNA) and the applications, including those in molecular diagnostics, of the analysis of cell-free DNA fragmentation patterns are described. Various applications can use a property of a fragmentation pattern to determine a proportional contribution of a particular tissue type, to determine a genotype of a particular tissue type (e.g., fetal tissue in a maternal sample or tumor tissue in a sample from a cancer patient), and/or to identify preferred ending positions for a particular tissue type, which may then be used to determine a proportional contribution of a particular tissue type.

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Shatin, China

Peiyong Jiang