Phasing of heterozygous loci to determine genomic haplotypes

• US 9,679,103 B2
• Filed: 08/22/2012
• Issued: 06/13/2017
• Est. Priority Date: 08/25/2011
• Status: Active Grant

• Current Assignee: Complete Genomics Incorporated (BGI Genomics Co., Ltd.)
• Original Assignee: Complete Genomics Incorporated (BGI Genomics Co., Ltd.)
• Inventors: Drmanac, Radoje, Kermani, Bahram Ghaffarzadeh
• Primary Examiner(s): Sims, Jason
• Application Number:
  US13/591,723
• Publication Number:
  US 20130054151A1
• Time in Patent Office: 1,756 Days
• Field of Search: None
• CPC Class Codes: G16B 20/00 ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
• CPC Class Codes: G16B 20/20 Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
• CPC Class Codes: G16B 30/00 ICT specially adapted for sequence analysis involving nucleotides or amino acids
• CPC Class Codes: G16B 30/10 Sequence alignment; Homology search
• CPC Class Codes: G16B 30/20 Sequence assembly

Abstract

Haplotypes of one or more portions of a chromosome of an organism from sequencing information of DNA or RNA fragments can be determined. Heterozygous loci (hets) can be used to determine haplotypes. One allele on a first het can be connected (likely to be on the same haplotype) to an allele on a second het, thereby defining a particular orientation between the hets. Haplotypes can be assembled through these connections. Errors can be identified through redundant connection information, particularly using a confidence value (strength) for a particular connection. The connections among a set of hets can be analyzed to determine likely haplotypes for that set, e.g., an optimal tree of a graph containing the hets. Furthermore, haplotypes of different contiguous sections (contig) of the chromosome can be matched to a particular chromosome copy (e.g., to a particular parental copy). Thus, the phase of an entire chromosome can be determined.

Claims

1. A method of determining at least part of a genome of an organism from one or more samples, the one or more samples including nucleic acid molecules of the organism, the method comprising:

providing a plurality of aliquots, each aliquot comprising nucleic acid molecules of the genome that have barcodes to track from which aliquot a nucleic acid molecule originates, wherein each of the plurality of aliquots includes less than a genomic equivalent of the genome of the organism;

sequencing a plurality of nucleic acid molecules in the plurality of aliquots to obtain sequence reads of the plurality of nucleic acid molecules and the barcodes;

receiving, at a computer system, sequencing information from the sequencing of the plurality of the nucleic acid molecules in the one or more samples, wherein the sequencing information includes the barcodes for tracking from which aliquot a sequence read originates;

for each of the plurality of nucleic acid molecules;

mapping, by the computer system, at least one sequence read of the nucleic acid molecule to a reference genome;

identifying, by the computer system, a plurality of candidate hets of a first chromosome, a candidate het being a locus identified as having or potentially having two or more different alleles;

for each of the plurality of candidate hets;

determining, by the computer system, whether the candidate het connects with each of one or more other candidate hets based on barcodes of sequence reads that map to the candidate het being the same as barcodes of sequence reads that map to the other candidate het, wherein each connection specifies a first heterozygous locus having two alleles that connect respectively with two alleles of a second heterozygous locus;

for each connection;

determining, by the computer system, an orientation between the pair of heterozygous loci of the connection, the orientation specifying which allele of the first heterozygous locus is connected as being on a same haplotype with which allele of the second heterozygous locus, wherein the orientation is determined based on barcodes of sequence reads of connected alleles being the same;

identifying, by the computer system, a first set of at least ten heterozygous loci that are interconnected, the first set of heterozygous loci defining a first region of the first chromosome; and

calculating two haplotypes of the first region based on the alleles of each heterozygous locus in the first set and the orientations of the connections among the heterozygous loci in the first set.

2. The method of claim 1, wherein identifying the plurality of candidate hets of the first chromosome includes at least one of:

receiving at least a portion of the plurality of candidate hets; and

calculating at least a portion of the plurality of candidate hets based on the sequencing information.

3. The method of claim 1, further comprising:

determining two haplotypes for a second region of the first chromosome, the second region not overlapping with the first region, the first and second regions forming a combined region;

determining one or more connections between one or more hets in the first region and one or more hets in the second region based on the sequencing information;

determining an orientation between the two haplotypes of the first region and the two haplotypes of the second region; and

combining two respective pairs of haplotypes of the first and second regions to form two combined haplotypes of the combined region.

4. The method of claim 1, wherein determining whether one candidate het connects with another candidate het based on the sequencing information includes:

selecting an orientation of a possible connection;

determining a connection strength between the pair of candidate hets for the selected orientation, wherein the connection strength provides a measure of a likelihood that certain alleles of the pair of candidate hets are on the same haplotype of the first chromosome; and

comparing the connection strength to a threshold value; and

determining that a connection exists when the connection strength exceeds the threshold value.

5. The method of claim 1, wherein one heterozygous locus of the first set is connected to at least two other heterozygous loci that are both on a first side of the first heterozygous locus, and wherein the connections among the heterozygous loci of the first set provide redundant connection information.

6. The method of claim 5, further comprising:

identifying a conflict among the determined orientations of at least two of the connections for the first set; and

determining which of two conflicting orientations is more consistent with the determined orientations of other connections for the first set.

7. The method of claim 5, further comprising:

for each connection;

obtaining a connection strength between the pair of heterozygous loci for the determined orientation, wherein the connection strength provides a measure of a likelihood that the alleles of the pair of heterozygous loci specified by the determined orientation are on the same haplotype of the first chromosome; and

obtaining a first tree that spans the first set of heterozygous loci and that includes a subset of all the connections among the first set of heterozygous loci, wherein the first tree provides an optimal value of a function of the connection strengths; and

calculating the two haplotypes of the first region based on the connections of the first tree and the orientations of the connections of the first tree.

8. The method of claim 7, wherein obtaining the first tree includes:

determining a plurality of connections that form a group of trees for the first set, the group of trees including the first tree, and each tree of the group having connections consistent with the connections of the first tree.

9. The method of claim 7, wherein the optimal value is a minimum or a maximum.

10. The method of claim 7, wherein the function of the connection strengths includes a sum of the connection strengths.

11. The method of claim 7, wherein obtaining the first tree includes using one or more techniques for determining a minimum spanning tree or a maximum spanning tree.

12. The method of claim 7, further comprising:

obtaining connection strengths for each connection involving a pair of heterozygous loci of the first chromosome; and

storing the connections strengths in a memory as a sparse matrix.

13. The method of claim 12, wherein a sparsity of the sparse matrix is constrained by a cutoff distance between pairs of heterozygous loci.

14. The method of claim 7, further comprising:

determining a connection strength for each of at least two orientations for a first connection between two heterozygous loci of the first set;

comparing the connection strengths for each of the at least two orientations to determine the largest connection strength; and

selecting the orientation with the largest connection strength as the determined orientation for the first connection.

15. The method of claim 7, wherein obtaining a connection strength between a pair of heterozygous loci for a particular orientation includes:

tracking a number of times each of a plurality of alleles at the first heterozygous locus are measured to occur with a same barcode as each of a plurality of alleles at the second heterozygous locus;

determining a first count for the number of times that a first allele of the first heterozygous locus and a first allele of the second heterozygous locus occur with the same barcode;

determining a second count for the number of times that a second allele of the first heterozygous locus and a second allele of the second heterozygous locus occur with the same barcode; and

using the first count and the second count to determine the connection strength.

16. The method of claim 15, further comprising:

multiplying an integer contribution of the first count by a weighting factor such that the first count has a non-integer value, the contribution being obtained from the tracking, and wherein the weighting factor is associated with an accuracy of a particular measurement.

17. The method of claim 15, wherein determining a connection between first heterozygous locus and the second heterozygous locus of a connected pair of heterozygous loci is further based on the two alleles both occurring in a same arm read or different arm reads of a same nucleic acid molecule.

18. The method of claim 15, further comprising;

determining a third count corresponding to an amount of occurrences of other allele combinations besides those for the first and second count, wherein the connection strength depends on a relative amount of the first and second counts compared to the third count.

19. The method of claim 18, further comprising:

inputting the first count, the second count, and the third count into a fuzzy logic engine to obtain the connection strength.

20. The method of claim 1, wherein the organism has two parents, the method further comprising:

calculating two haplotypes for a plurality of regions of the first chromosome based on the sequencing information;

obtaining genomic information about the two parents;

for each region;

determining a heterozygous locus of the organism where the genomic information about the two parents indicates a particular allele at the heterozygous locus is from a particular parent;

associating each haplotype of the region with a respective parent based on the particular allele at the heterozygous locus being from the particular parent;

combining the haplotypes associated with the first parent on a first copy of the first chromosome; and

combining the haplotypes associated with the second parent on a second copy of the first chromosome.

21. The method of claim 20, wherein obtaining the genomic information about the two parents includes obtaining genotyping information for over 100,000 loci for at least one parent.

22. The method of claim 20, wherein obtaining the genomic information about the two parents includes obtaining genotyping information for over 300,000 loci for at least one parent.

23. The method of claim 20, wherein obtaining the genomic information about the two parents includes obtaining genotyping information for over one million loci for at least one parent.

24. The method of claim 1, wherein a determination of whether a connection exists between a pair of candidate hets is performed only if the pair of candidate hets are within one or more specified distances of each other.

25. The method of claim 24, wherein the one or more specified distances include at least one of a number of candidate hets between the pair of candidate hets and a number of bases between the pair of candidate hets.

26. The method of claim 1, wherein the first region is a contiguous section of the first chromosome.

27. The method of claim 1, wherein the first chromosome is selected from any one of a plurality of chromosomes.

28. A computer program product comprising a tangible computer readable medium storing a plurality of instructions for controlling a processor to perform an operation for determining at least part of a genome of an organism from one or more samples, the one or more samples including nucleic acid molecules of the organism, the instructions comprising:

receiving sequencing information from a sequencing of a plurality of the nucleic acid molecules in the one or more samples, wherein the sequencing is performed by;

providing a plurality of aliquots, each aliquot comprising nucleic acid molecules of the genome that have barcodes to track from which aliquot a nucleic acid molecule originates, wherein each of the plurality of aliquots includes less than a genomic equivalent of the genome of the organism;

sequencing a plurality of nucleic acid molecules in the plurality of aliquots to obtain sequence reads of the plurality of nucleic acid molecules and the barcodes, wherein the sequencing information includes the barcodes for tracking from which aliquot a sequence read originates;

for each of the plurality of nucleic acid molecules;

mapping at least one sequence read of the nucleic acid molecule to a reference genome;

identifying a plurality of candidate hets of a first chromosome, a candidate het being a locus identified as having or potentially having two or more different alleles;

for each of the plurality of candidate hets;

determining whether the candidate het connects with each of one or more other candidate hets based on barcodes of sequence reads that map to the candidate het being the same as barcodes of sequence reads that map to the other candidate het, wherein each connection specifies a first heterozygous locus having two alleles that connect respectively with two alleles of a second heterozygous locus;

for each connection;

determining an orientation between the pair of heterozygous loci of the connection, the orientation specifying which allele of the first heterozygous locus is connected as being on a same haplotype with which allele of the second heterozygous locus, wherein the orientation is determined based on barcodes of sequence reads of connected alleles being the same;

identifying a first set of at least ten heterozygous loci that are interconnected, the first set of heterozygous loci defining a first region of the first chromosome; and

calculating two haplotypes of the first region based on the alleles of each heterozygous locus in the first set and the orientations of the connections among the heterozygous loci in the first set.

30. The computer program product of claim 28, wherein determining whether one candidate het connects with another candidate het based on the sequencing information includes:

selecting an orientation of a possible connection;

determining a connection strength between the pair of candidate hets for the selected orientation, wherein the connection strength provides a measure of a likelihood that certain alleles of the pair of candidate hets are on the same haplotype of the first chromosome; and

comparing the connection strength to a threshold value; and

determining that a connection exists when the connection strength exceeds the threshold value.

31. The computer program product of claim 28, wherein the instructions further comprise:

determining two haplotypes for a second region of the first chromosome, the second region not overlapping with the first region, the first and second regions forming a combined region;

determining one or more connections between one or more hets in the first region and one or more hets in the second region based on the sequencing information;

determining an orientation between the two haplotypes of the first region and the two haplotypes of the second region; and

combining two respective pairs of haplotypes of the first and second regions to form two combined haplotypes of the combined region.

32. The computer program product of claim 28, wherein one heterozygous locus of the first set is connected to at least two other heterozygous loci that are both on a first side of the first heterozygous locus, and wherein the connections among the heterozygous loci of the first set provide redundant connection information, wherein the instructions further comprise:

identifying a conflict among the determined orientations of at least two of the connections for the first set; and

determining which of two conflicting orientations is more consistent with the determined orientations of other connections for the first set.

33. The computer program product of claim 32, wherein one heterozygous locus of the first set is connected to at least two other heterozygous loci that are both on a first side of the first heterozygous locus, and wherein the connections among the heterozygous loci of the first set provide redundant connection information, wherein the instructions further comprise:

for each connection;

obtaining a connection strength between the pair of heterozygous loci for the determined orientation, wherein the connection strength provides a measure of a likelihood that the alleles of the pair of heterozygous loci specified by the determined orientation are on the same haplotype of the first chromosome; and

obtaining a first tree that spans the first set of heterozygous loci and that includes a subset of all the connections among the first set of heterozygous loci, wherein the first tree provides an optimal value of a function of the connection strengths; and

calculating the two haplotypes of the first region based on the connections of the first tree and the orientations of the connections of the first tree.

34. The computer program product of claim 33, wherein the instructions further comprise:

determining a connection strength for each of at least two orientations for a first connection between two heterozygous loci of the first set;

comparing the connection strengths for each of the at least two orientations to determine the largest connection strength; and

selecting the orientation with the largest connection strength as the determined orientation for the first connection.

35. The computer program product of claim 33, wherein obtaining a connection strength between a pair of heterozygous loci for a particular orientation includes:

tracking a number of times each of a plurality of alleles at the first heterozygous locus are measured to occur with a same barcode as each of a plurality of alleles at the second heterozygous locus;

determining a first count for the number of times that a first allele of the first heterozygous locus and a first allele of the second heterozygous locus occur with the same barcode;

determining a second count for the number of times that a second allele of the first heterozygous locus and a second allele of the second heterozygous locus occur with the same barcode; and

using the first count and the second count to determine the connection strength.

36. The computer program product of claim 35, wherein determining a connection between first heterozygous locus and the second heterozygous locus of a connected pair of heterozygous loci is further based on the two alleles both occurring in a same arm read or different arm reads of a same nucleic acid molecule.

37. The computer program product of claim 35, wherein the instructions further comprise:

determining a third count corresponding to an amount of occurrences of other allele combinations besides those for the first and second count, wherein the connection strength depends on a relative amount of the first and second counts compared to the third count.

38. The computer program product of claim 28, wherein the organism has two parents, the method further comprising:

calculating two haplotypes for a plurality of regions of the first chromosome based on the sequencing information;

obtaining genomic information about the two parents;

for each region;

determining a heterozygous locus of the organism where the genomic information about the two parents indicates a particular allele at the heterozygous locus is from a particular parent;

associating each haplotype of the region with a respective parent based on the particular allele at the heterozygous locus being from the particular parent;

combining the haplotypes associated with the first parent on a first copy of the first chromosome; and

combining the haplotypes associated with the second parent on a second copy of the first chromosome.

39. The computer program product of claim 38, wherein obtaining the genomic information about the two parents includes obtaining genotyping information for over 100,000 loci for at least one parent.

40. The computer program product of claim 28, wherein a determination of whether a connection exists between a pair of candidate hets is performed only if the pair of candidate hets are within one or more specified distances of each other, wherein the one or more specified distances include at least one of a number of candidate hets between the pair of candidate hets and a number of bases between the pair of candidate hets.

29. A system for determining at least part of a genome of an organism from one or more samples, the one or more samples including nucleic acid molecules of the organism, the system comprising:

an input for receiving sequencing information from a sequencing of a plurality of the nucleic acid molecules in the one or more samples, wherein the sequencing is performed by;

providing a plurality of aliquots, each aliquot comprising nucleic acid molecules of the genome that have barcodes to track from which aliquot a nucleic acid molecule originates, wherein each of the plurality of aliquots includes less than a genomic equivalent of the genome of the organism;

sequencing a plurality of nucleic acid molecules in the plurality of aliquots to obtain sequence reads of the plurality of nucleic acid molecules and the barcodes, wherein the sequencing information includes the barcodes for tracking from which aliquot a sequence read originates;

one or more processors configured to;

for each of the plurality of nucleic acid molecules;

map at least one sequence read of the nucleic acid molecule to a reference genome;

identify a plurality of candidate hets of a first chromosome, a candidate het being a locus identified as having or potentially having two or more different alleles;

for each of the plurality of candidate hets;

determine whether the candidate het connects with each of one or more other candidate hets based on barcodes of sequence reads that map to the candidate het being the same as barcodes of sequence reads that map to the other candidate het, wherein each connection specifies a first heterozygous locus having two alleles that connect respectively with two alleles of a second heterozygous locus;

for each connection;

determine an orientation between the pair of heterozygous loci of the connection, the orientation specifying which allele of the first heterozygous locus is connected as being on a same haplotype with which allele of the second heterozygous locus, wherein the orientation is determined based on barcodes of sequence reads of connected alleles being the same;

identify a first set of at least ten heterozygous loci that are interconnected, the first set of heterozygous loci defining a first region of the first chromosome; and

calculate two haplotypes of the first region based on the alleles of each heterozygous locus in the first set and the orientations of the connections among the heterozygous loci in the first set.