Methods for using mosaicism in nucleic acids sampled distal to their origin
Disclosed herein are methods for improving detection and monitoring of human diseases. The methods can be used to provide spatial and/or developmental localization of the source of each differential mutation within the body. The methods can also be used to generate a mutation map of a subject. And the mutation map can be used to monitoring state(s) of health of one or more tissues of a subject.
1. A method of analyzing a biological sample obtained from a subject being screened for a cancer, wherein the biological sample is from a non-fetal source, the method comprising:
(a) obtaining a first set of sequence reads and a second set of sequence reads by sequencing nucleic acid molecules derived from a first set of nucleic acid molecules and a second set of nucleic acid molecules, wherein said first set of sequence reads corresponds to said first set of nucleic acid molecules and said second set of sequence reads corresponds to said second set of nucleic acid molecules, wherein said first set of sequence reads and said second set of sequence reads are generated using whole genome sequencing, and wherein (i) said first set of nucleic acid molecules is extracted from tissue sample of said subject, and (ii) said second set of nucleic acid molecules is extracted from leukocytes from a blood sample;
(b) using said first set of sequence reads and said second set of sequence reads to identify mosaic variants specific to said tissue sample of said subject in said first set of sequence reads that is not present in said second set of sequence reads;
(c) subsequent to (b), identifying said mosaic variants specific to said tissue sample of said subject in a first additional sample of said subject, wherein said first additional sample is obtained from a source that is different than said tissue sample and at a time point that is different than said tissue sample; and
(d) providing a report based on an identification of said mosaic variants specific to said tissue sample of said subject in said first additional sample, wherein said report comprises predicting, diagnosing, and/or prognosing a status or outcome of a cancer in said subject.
2. The method of claim 1 , further comprising identifying mosaic variants specific to said tissue sample of said subject in a second additional sample of said subject, wherein said second additional sample comprises cell-free DNA, which second additional sample is obtained at a time point that is different than said tissue sample and said first additional sample.
3. The method of claim 2 , wherein said first and/or second additional sample comprises a blood sample, a saliva sample, a buccal swab, a urine sample, a semen sample, or a cerebrospinal fluid sample of said subject.
4. The method of claim 2 , wherein said mosaic variants specific to said tissue sample of said subject are selected from the group consisting of: copy number variation, small insertions and deletions (inDels), single nucleotide polymorphisms (SNPs), multiple nucleotide polymorphisms (MNPs), and any combination thereof.
5. The method of claim 2 , wherein said mosaic variants specific to said tissue sample of said subject are causal or predisposing for a cancer.
6. The method of claim 2 , wherein said mosaic variants specific to said tissue sample of said subject are non-causal for a cancer.
7. The method of claim 2 , further comprising enriching said extracted nucleic acid molecules of said tissue sample, blood sample, first additional sample, or second additional sample.
8. The method of claim 1 , further comprising providing a recommendation for a therapeutic intervention based on an identification of said mosaic variants specific to said tissue sample of said subject.
9. The method of claim 1 , wherein said tissue sample comprises a metastatic tissue sample, a mixed tissue sample, a biopsy, or a core needle biopsy.
10. The method of claim 1 , further comprising enriching said extracted nucleic acid molecules of said tissue sample, blood sample, or first additional sample.
11. The method of claim 1 , wherein said mosaic variants specific to said subject are selected from the group consisting of: copy number variation, small insertions and deletions (inDels), single nucleotide polymorphisms (SNPs), multiple nucleotide polymorphisms (HNPs), and any combination thereof.
12. The method of claim 1 , wherein said predicting, diagnosing, and/or prognosing of (d) comprises one or more of the following: (i) diagnosing a cancer, (ii) identifying a cancer, (iii) determining a stage of a cancer, (iv) assessing risk of a cancer, (v) assessing risk of cancer recurrence, (vi) assessing reproductive risk, (vii) assessing efficacy of a drug, (viii) assessing risk of an adverse drug reaction, (ix) predicting optimal drug dosage, (x) predicting drug resistance, or any combination thereof.
13. The method of claim 1 , wherein said mosaic variants specific to said tissue sample of said subject are identified using capture probes in said first additional sample of step (c).
14. A method for early disease detection in a subject using at least two samples from the subject, wherein the at least two samples are from a non-fetal source, said method comprising:
(a) obtaining a blood sample from said subject;
(b) extracting (i) a first set of nucleic acid molecules from a first component separated from a blood sample of said subject and (ii) a second set of nucleic acid molecules from leukocytes from a second component separated from said blood sample;
(c) quantitating said first set of nucleic acid molecules to determine an amount of nucleic acid molecules present in said first component separated from a blood sample;
(d) comparing said amount of nucleic acid molecules present in said first component separated from a blood sample to a reference quantity;
(e) if said amount of nucleic acid molecules present in said first component separated from said blood sample is greater than or equal to a reference quantity, then obtaining a first set of sequence reads and a second set of sequence reads generated by sequencing nucleic acid molecules derived from said first set of nucleic acid molecules and said second set of nucleic acid molecules, wherein said first set of sequence reads and said second set of sequence reads are generated using whole genome sequencing, wherein said first set of sequence reads corresponds to said first set of nucleic acid molecules and said second set of sequence reads corresponds to said second set of nucleic acid molecules;
(f) using said first set of sequence reads and said second set of sequence reads to identify mosaic variants specific to said subject in said first set of sequence reads that is not present in said second set of sequence reads;
(g) subsequent to (f), identifying said mosaic variants specific to said subject in a second sample of said subject, which second sample is obtained at a time point that is different than said blood sample; and
(h) providing a report based on an identification of said mosaic variants specific to said subject in said second sample, wherein said report comprises predicting, diagnosing, and/or prognosing a status or outcome of a disease or condition in said subject.
15. The method of claim 14 , wherein said first component separated from said blood sample comprises cell-free or surface-bound nucleic acid molecules.
16. The method of claim 14 , further comprising identifying mosaic variants specific to said subject in a third sample of said subject, which third sample is obtained from a source or at a time point that is different than said blood sample and said second sample.
17. The method of claim 16 , wherein said second or third sample comprises a blood sample, a saliva sample, a buccal swab, a urine sample, a semen sample, or a cerebrospinal fluid sample of said subject.
18. The method of claim 16 wherein said mosaic variants specific to said subject are selected from the group consisting of: copy number variation, small insertions and deletions (inDels), single nucleotide polymorphisms (SNPs), multiple nucleotide polymorphisms (MNPs), and any combination thereof.
19. The method of claim 14 , further comprising providing a recommendation for a therapeutic intervention based on an identification of said mosaic variants specific to said subject.
20. The method of claim 14 , wherein said mosaic variants specific to said subject are selected from the group consisting of: copy number variation, small insertions and deletions (inDels), single nucleotide polymorphisms (SNPs), multiple nucleotide polymorphisms (HNPs), and any combination thereof.
21. The method of claim 14 , wherein said mosaic variants specific to said subject are identified using capture probes in said second sample of step (g).