IP Library Granted Patent US 11,560,586
Granted Patent B2
US 11,560,586 · App. 16/395,658 · Granted Jan 24, 2023

Methods and processes for non-invasive assessment of genetic variations

Inventors: Cosmin Deciu (San Diego, CA); Zeljko Jovan Dzakula (San Diego, CA); Mathias Ehrich (San Diego, CA); Sung Kyun Kim (San Diego, CA)
Assignee: SEQUENOM, INC.
C12Q1/6827G16B20/00G16B20/10G16B20/20G16B30/10G16H50/20
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Quick Facts
Patent No.
US 11,560,586
App. No.
16/395,658
Granted
Jan 24, 2023
Kind
B2
Abstract

Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations.

Claims (30)

1. A method for identifying a probability of a presence or absence of a segmental chromosomal aberration or an aneuploidy or both comprising:

(a) obtaining sequence reads from a cell-free sample nucleic acid;

(b) mapping the sequence reads obtained in (a) to a known genome, which known genome has been divided into genomic sections;

(c) counting the mapped sequence reads within the genomic sections;

(d) providing a normalization of the counted mapped sequence reads in (c) based on a sliding window normalization; and

(e) providing an outcome identifying a probability of the presence or absence of a segmental chromosomal aberration or an aneuploidy or both from the normalization in (d).

2. The method of claim 1 , wherein (d) comprises:

(i) generating a sample normalized count profile;

(ii) removing noisy genomic sections;

(iii) identifying genomic sections that significantly deviate from the mean elevation;

(iv) removing solitary data points identified in (iii);

(v) grouping neighboring data points deviating in the same direction; and

(vi) characterizing aberration elevations and edges.

3. The method of claim 2 , wherein (v) is performed using a predefined gap tolerance.

4. The method of claim 2 , wherein characterizing aberration elevations and edges comprises the use of integrals over the suspected aberration and its immediate surroundings.

5. The method of claim 2 , wherein (vi) comprises:

(1) performing linear regression on selected genomic sections on one side of the candidate aberration;

(2) performing linear regression on selected genomic sections on the other side of the candidate aberration;

(3) determining the mean elevation within the candidate aberration and/or the slope of the line segment connecting two linear regression lines; and

(4) determining the difference between the intercepts of two linear regression lines, combined with the mean elevation within the aberration,

wherein, performing (1) to (4) yields the width of the aberration.

6. The method of claim 5 , wherein (1) to (4) are repeated about 1 to about 100 times.

7. The method of claim 5 , wherein (1) to (4) are repeated about 1 to about 10 times.

8. The method of claim 1 , wherein the cell-free sample nucleic acid is isolated from blood, serum, or plasma obtained from a test subject.

9. The method of claim 8 , wherein the test subject is a pregnant female.

10. The method of claim 1 , wherein the segmental chromosomal aberration is a fetal segmental chromosomal aberration and the aneuploidy is a fetal aneuploidy.

11. The method of claim 10 , wherein the fetal aneuploidy is a chromosome trisomy chosen from a chromosome 13 trisomy, a chromosome 18 trisomy, or a chromosome 21 trisomy.

12. The method of claim 1 , wherein (a) comprises sequencing the cell-free sample nucleic acid by a sequencing process, thereby generating the sequence reads.

13. The method of claim 12 , wherein the sequencing process is a massively parallel sequencing process.

14. The method of claim 1 , wherein (b), (c), (d), and/or (e) are implemented by a computer.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 26, 2019
From: DECIU, COSMIN; DZAKULA, ZELJKO; EHRICH, MATHIAS; KIM, SUNG KYUN
To: SEQUENOM, INC.
Reel/Frame 049008/0765 →
Continuity (7)
Continuation 15149045 · May 6, 2016
Division 13669136 · Nov 5, 2012
Continuation PCTUS2012059123 · Oct 5, 2012
Provisional Application 61709899 · Oct 4, 2012
Provisional Application 61663477 · Jun 22, 2012
Provisional Application 61544251 · Oct 6, 2011
Related Publication 20190309351A1 · Oct 10, 2019
Cited By (2)
US 12,421,550 US 12,706,175