公开(公告)号：US11047006B2

公开(公告)日：2021-06-29

申请号：US16908611

申请日：2020-06-22

Applicant: UNIVERSITY OF WASHINGTON THROUGH ITS CENTER FOR COMMERCIALIZATION

Inventor： Jesse Salk ,  Lawrence A. Loeb ,  Michael Schmitt

IPC: C12Q1/68 ,  C12Q1/6876 ,  C12Q1/6806 ,  C12Q1/6869

Abstract: Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand. This method uniquely capitalizes on the redundant information stored in double-stranded DNA, thus overcoming technical limitations of prior methods utilizing data from only one of the two strands.

公开(公告)号：US20190352714A1

公开(公告)日：2019-11-21

申请号：US16503398

申请日：2019-07-03

Applicant: UNIVERSITY OF WASHINGTON THROUGH ITS CENTER FOR COMMERCIALIZATION

Inventor： Jesse Salk ,  Lawrence A. Loeb ,  Michael Schmitt

IPC: C12Q1/6876 ,  C12Q1/6806 ,  C12Q1/6869

Abstract: Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand. This method uniquely capitalizes on the redundant information stored in double-stranded DNA, thus overcoming technical limitations of prior methods utilizing data from only one of the two strands.

公开(公告)号：US10370713B2

公开(公告)日：2019-08-06

申请号：US16120091

申请日：2018-08-31

Applicant: UNIVERSITY OF WASHINGTON THROUGH ITS CENTER FOR COMMERCIALIZATION

Inventor： Jesse Salk ,  Lawrence A. Loeb ,  Michael Schmitt

IPC: C12Q1/68 ,  C12Q1/6876 ,  C12Q1/6869 ,  C12Q1/6806

Abstract: Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand. This method uniquely capitalizes on the redundant information stored in double-stranded DNA, thus overcoming technical limitations of prior methods utilizing data from only one of the two strands.