Methods and systems for genomic analysis

Patent metadata

Field	Value
Publication number	US-2016019341-A1
Application number	US-201514871020-A
Country	US
Kind code	A1
Filing date	Sep 30, 2015
Priority date	Aug 30, 2013
Publication date	Jan 21, 2016
Grant date	—

Abstract

A computer-implemented method for processing and/or analyzing nucleic acid sequencing data comprises receiving a first data input and a second data input. The first data input comprises untargeted sequencing data generated from a first nucleic acid sample obtained from a subject. The second data input comprises target-specific sequencing data generated from a second nucleic acid sample obtained from the subject. Next, with the aid of a computer processor, the first data input and the second data input are combined to produce a combined data set. Next, an output derived from the combined data set is generated. The output is indicative of the presence or absence of one or more polymorphisms of the first nucleic acid sample and/or the second nucleic acid sample.

First claim

What is claimed is:

1 . A method for genetic analysis of a subject, comprising:
a. subjecting a first nucleic acid sample of said subject to untargeted sequencing to generate untargeted sequencing data, wherein said untargeted sequencing data has a coverage that is less than 100% of a full coverage of a genome of said subject; b. subjecting a second nucleic acid sample of said subject to target-specific sequencing to generate target-specific sequencing data; c. combining, with the aid of a computer processor, said untargeted sequencing data and said target-specific sequencing data to produce a combined data set; and d. generating, with the aid of a computer processor, an output from at least a portion of said combined data set, wherein said output is indicative of a presence or absence of one or more polymorphisms in said genome of said subject or a portion of said genome.

2 . The method of claim 1 , wherein said generating comprises (1) mapping said untargeted sequencing data onto a first reference sequence to generate a first alignment, and (2) mapping said target-specific sequencing data onto a second reference sequence to generate a second alignment.

3 . The method of claim 2 , wherein said first reference sequence and said second reference sequence are the same sequence.

4 . The method of claim 1 , wherein said output comprises a uniform alignment that is generated by mapping said combined data set onto a reference sequence.

5 . The method of claim 1 , wherein said target-specific sequencing data is based on targeted sequencing of an exome, specific genes, genomic regions, or a combination thereof.

6 . The method of claim 1 , wherein said untargeted sequencing data is generated using one or more random primers or hybridization probes, and wherein said target-specific sequencing data is generated using one or more non-random primers or hybridization probes.

7 . The method of claim 6 , wherein said non-random primers comprise primers targeting one or more genes, exons, untranslated regions, or a combination thereof.

8 . The method of claim 1 , wherein said untargeted sequencing data is whole genome sequencing data, off-target data arising from a targeted assay, or a combination thereof.

9 . The method of claim 8 , wherein said whole genome sequencing data comprises single reads, paired-end reads, or mate-pair reads.

10 . The method of claim 1 , wherein said first nucleic acid sample and said second nucleic acid sample are derived from a biological sample of said subject.

11 . The method of claim 1 , wherein said target-specific sequencing data comprises a specific portion and a non-specific portion, and wherein at least a portion of said untargeted sequencing data is included in said non-specific portion of said target-specific sequencing data.

12 . The method of claim 11 , wherein said untargeted sequencing data is included in said non-specific portion of said target-specific sequencing data.

13 . The method of claim 1 , wherein each of said untargeted sequencing data and said target-specific sequencing data comprises variant data, and wherein said combining comprises combining variant data from said untargeted sequencing data and variant data from said target-specific sequencing data into said combined data set.

14 . The method of claim 13 , wherein said untargeted sequencing data comprises copy number or structural variant data, and wherein said target-specific sequencing data comprises single nucleotide variations (SNV) or insertion deletion polymorphism (indel) data.

15 . The method of claim 1 , wherein said untargeted sequencing data comprises less than about 100 gigabases.

16 . The method of claim 1 , wherein said untargeted sequencing data comprises up to about 10 gigabases.

17 . The method of claim 1 , wherein said first nucleic acid sample and said second nucleic acid sample are separately subjected to untargeted sequencing and target-specific sequencing, respectively.

18 . The method of claim 1 , wherein said combining comprises removing any redundant sequences.

19 . The method of claim 1 , wherein generating said output comprises using a computer processor to identify said one or more polymorphisms at a sensitivity greater than or equal to 90%, wherein said one or more polymorphisms include structural variants that are less than 100,000 bases in length.

20 . The method of claim 1 , wherein said target-specific sequencing data comprises sequencing data corresponding to less than or equal to about 180,000 exons in an exome of said subject.

21 . A system for genetic analysis of a subject, comprising:
a. at least one computer memory comprising untargeted sequencing data and target-specific sequencing data, wherein said untargeted sequencing data is generated by untargeted sequencing of a first nucleic acid sample of said subject and said target-specific sequencing data is generated by target-specific sequencing of a second nucleic acid sample of said subject, wherein said untargeted sequencing data has a coverage that is less than 100% of a full coverage of a genome of said subject; b. a computer processor coupled to said at least one computer memory and programmed to (i) combine said untargeted sequencing data and said target-specific sequencing data to produce a combined data set, and (ii) generate an output from at least a portion of said combined data set, wherein said output is indicative of a presence or absence of one or more polymorphisms in said genome of said subject or a portion of said genome; and c. an electronic data storage unit coupled to said computer processor, wherein said electronic data storage unit comprises said combined data set or said output.

22 . The system of claim 21 , wherein each of said untargeted sequencing data and said target-specific sequencing data comprises variant data, and wherein said computer processor is programmed to combine variant data from said untargeted sequencing data and variant data from said target-specific sequencing data into said combined data set.

23 . The system of claim 22 , wherein said untargeted sequencing data comprises copy number or structural variant data, and wherein said target-specific sequencing data comprises single nucleotide variations (SNV) or insertion deletion polymorphism (indel) data.

24 . The system of claim 21 , further comprising an electronic display coupled to said computer processor, wherein said electronic display provides said output for display.

25 . The system of claim 21 , wherein said computer processor is programmed to (1) map said untargeted sequencing data onto a first reference sequence in computer memory to generate a first alignment, and (2) map said target-specific sequencing data onto a second reference sequence in computer memory to generate a second alignment.

26 . The system of claim 21 , wherein said computer processor is programmed to generate said combined data set by (1) combining said untargeted sequencing data and said target-specific sequencing and (2) removing any redundant sequences.

27 . The system of claim 21 , wherein said untargeted sequencing data comprises less than about 100 gigabases.

28 . The system of claim 21 , wherein said untargeted sequencing data comprises up to about 10 gigabases.

29 . The system of claim 21 , wherein said target-specific sequencing da

Assignees

• Personalis Inc

Inventors

• Harris Jason
• Pratt Mark R
• West John
• Chen Richard
• Li Ming

Classifications

• G06N20/20

  Ensemble learning · CPC title

• C12Q1/6886

  for cancer (immunoassay for cancer G01N33/575) · CPC title

• G16H50/00

  ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics · CPC title

• G06F19/22 Primary

  Physics · mapped topic

• C12Q1/6869

  Methods for sequencing · CPC title