Guardant Health, Inc.

Yupeng He

William J Greenleaf

Andrew Kennedy

Ariel Jaimovich

Oscar Westesson

Haley Dara Axelrod

Peter Vilem Grauman

Matthew Schultz

Sven Jeffrey Duenwald

Charbel Said Eid

Disclosed herein are methods for isolating DNA, such as cell-free DNA (cfDNA) or DNA from a tissue sample, e.g., in which the DNA is partitioned into hypermethylated and hypomethylated partitions. After differential tagging of the partitions, portions of the hypomethylated partition are pooled with the hypermethylated partition or pooled separately. Epigenetic and sequence-variable target regions are captured from the pool comprising DNA from the hypermethylated and hypomethylated partitions, and sequence-variable target regions are captured from the pool comprising DNA from the hypomethylated partition. This approach can reduce costs and/or bandwidth by limiting sequencing of epigenetic target regions from the hypomethylated partition, which may be less informative than other DNA.

Methods for isolating cell-free DNA

In an aspect, a method for detecting the presence or absence of cancer in a subject comprises: (a) obtaining samples from the subject from different time points, wherein a first sample obtained at first time point is a polynucleotide sample from a tumor tissue specimen and a second sample obtained at second time point is a cell-free polynucleotide sample from a blood sample; (b) processing polynucleotides from each of the samples, comprising: i) tagging at least a portion of the polynucleotides, thereby generating tagged parent polynucleotides; ii) amplifying at least a portion of the tagged parent polynucleotides to generate progeny polynucleotides; iii) enriching at least a portion of the progeny polynucleotides for target genomic regions; thereby generating enriched polynucleotides; and iv) sequencing at least a portion of the enriched polynucleotides to generate sequencing reads; and (c) analyzing genomic regions for at least one epigenetic feature from the sequencing reads.

Methods and systems for improving patient monitoring after surgery

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Redwood City, CA, United States of America

Yupeng He