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CSB 2006 1
Efficient Computation of Minimum Recombination
With Genotypes (Not Haplotypes)
Yufeng Wu and Dan Gusfield
University of California, Davis
2
Haplotypes/Genotypes
• Diploid organisms have two copies of (not identical) chromosomes. A single copy is a haplotype, vector of 0,1. The mixed description is a genotype, vector of 0,1,2. At each site,– If both haplotypes are 0, genotype is 0– If both haplotypes are 1, genotype is 1– If one is 0 and the other is 1, genotype is 2
• Key fact: easier to collect genotypes, but many downstream applications work better with haplotypes
3
Haplotyping
0 1 1 1 0 0 1 1 0
1 1 0 1 0 0 1 0 0
2 1 2 1 0 0 1 2 0Genotype
Sites: 1 2 3 4 5 6 7 8 9
Haplotype
Haplotype Inference (HI) Problem: given a set of n genotypes, infer the real n haplotype pairs that form the given genotypes
2 1 2 1 0 0 1 2 0
0 1 1
1 1 0
0 1 0
1 1 1
Phasing the 2s
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Two-stage Approach
• Given a set of genotypes G, we are interested in downstream problems
• Many HI solutions for G• Two stage: first infer the “correct” HI solution
from the genotypes, then do the downstream analysis with the inferred haplotypes
• Haplotype inference: extensively studied and believed to be accurate to certain extent
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One-stage Approach
• What effect does the haplotyping inaccuracy has on downstream questions?
• Our work: directly use genotype data for downstream problems– Without fixing a choice for the HI solution– Minimum recombination problem
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Recombination: Single Crossover
• Recombination is one of the principle genetic force shaping variation within species• Two equal length sequences generate a third equal length sequence
110001111111001
000110000001111
Prefix
Suffix
11000 0000001111
breakpoint
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Kreitman’s Data (1983)00000000110000000011011101111000000000000000010000000000000001101110111100000000000000000000000000000000000000000000000001000010100000000000000001100000000000000000100110000001100010110011110000000000000000001000000001000000000000100000000000000101011100001000100000000000010000000000000111111010000001111100010111001000000000000011111101100000111110001011100100000000000001111110110000011111000101110010000000000000111111011000001111111110000101000010001000011111101000000
Question: what is the minimum number of recombinations needed to derive these sequences?Assume at most 1 mutation per site
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Minimizing Recombination• Compute the minimum number of
recombinations (Rmin) for deriving a set of haplotypes, assuming at most 1 mutation per site– NP-hard in general– Heuristics– Lower bounds on Rmin
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Lower Bounds on Genotypes
• For a particular recombination lower bound method L, what is the range of possible bounds for L over all possible HI solutions?– MinL(G): minimum L over all HI solutions for G.– MaxL(G): maximum L over all HI solutions for G.
• This paper: HK bound, connected component bound and relaxed haplotype bound.– Polynomial-time algorithms for MaxHK, MinCC.– Heuristic method for relaxed haplotype bound.
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0 0 0 1 01 0 0 1 00 0 1 0 01 0 1 0 00 1 1 0 00 1 1 0 10 0 1 0 1
1 2 3 4 5abcdefg
Incompatibility Graph (IG):A node each site, edgebetween incompatible pair
M
Lower Bound: Incompatibility
• Two sites (columns) p, q are incompatible if columns p,q contains all four ordered pairs (gametes): 00, 01, 10, 11
• Sites p,q are incompatible A recombination must occur between p,q
1 2 3 4 5
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HK Bound (1985)
• Arrange the nodes of the incompatibility graph on the line in order that the sites appear in the sequence.
• HK bound = maximum number of non-overlapping edges in incompatibility graph (IG).
• Easy to compute for haplotype data.
1 2 3 4 5
HK Lower Bound = 1
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IG for HI Solutions
01010101010020222200
0101001010101011010100000001010100010100
1 2 3 4 5
HK = 1
HI1
0101001010101011010100001001000000011100
1 2 3 4 5
HK = 3
HI2
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HK Bounds on Genotypes
• Known efficient algorithm for MinHK(G) (Wiuf, 2004).
• This paper: polynomial-time algorithm for MaxHK(G)
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Maximal Incompatibility Graph
• An edge between sites p and q if there is a phasing of p, q so p and q are incompatible– Each pair of sites is considered independently
• E(G): a maximum-sized set of non-overlapping edges in MIG(G)
01010101010020222200
G
1 2 3 4 5
MIG(G)
E(G) = {12, 23, 35}
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MaxHK(G)
• Claim: MaxHK(G) = |E(G)|• MaxHK(G) |E(G)|
– MIG(G): supergraph of IG(H) for any HI solution H
• If we can find an HI solution H, whose every pair of sites in E(G) is incompatible, then HK(H) |E(G)|
• Together, MaxHK(G) = |E(G)|
• Phase sites from left to right. • Each component in E(G) is a simple path• Each site only constrained by at most one site to the left
Finding such an H
MIG(G)
Phasing G for Incompatibility
0101001010101011010100?0?00?0?0??001??00
0101001010101011010100?0?00?0?00?0011?00
010100101010101101010010?0000?0000011100
• No matter how a previous site p is phased, can always phase this site q to make p, q incompatible
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Haplotyping With Minimum Number of Recombinations
• Compute Rmin(G) – Haplotyping on a network with fewest
recombinations
• NP-hard• This paper: A branch and bound method
computing exact Rmin(G) for data with small number of sites
• APOE data: 47 non-trivial genotypes, 9 sites– Our method: 2 minutes, Rmin(G) = 5
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Application: Recombination Hotspot
• Recombination hotspot: regions where recombination rate is much higher than neighboring regions
• Previous study (Bafna and Bansal, 2005): a recombination lower bound with inferred haplotypes were used to identify recombination hotspots
• Our work: compute the exact Rmin(G) with genotypes for a sliding window of a small number of SNPs to detect recombination hotspots
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Result from haplotypes (Bafna and Bansal, 2005)
Result from original genotypes (this paper)
MS32 data (Jeffreys, et al. 2001)
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Other Applications• Finding true Rmin from genotypes G
– Two stage approach: run PHAS to get an HI solution H, and compute Rmin(H)
– One stage approach: directly compute Rmin(G)
• Accuracy of haplotype inference on a minimum network
• Simulation results: comparable, slightly weaker and non-conclusive
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Summary• Main goal of this paper: develop
computational tools for the minimum recombination problem with genotypes– Polynomial-time algorithm for MaxHK and MinCC
problems– Practical heuristics for other problems– Simulation results to several application questions
are not conclusive– Our tools facilitate the study of these problems
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Thank You
• Software: available upon request