System and method for cleaning noisy genetic data from target individuals using genetic data from genetically related individuals
DCFirst Claim
1. A method for detecting the presence or absence of a chromosomal abnormality in a fetus, the method comprising:
- (a) measuring an amount of genetic material at multiple loci on a chromosome or chromosome segment of interest in a sample comprising cell-free DNA derived from the fetus and from the mother of the fetus, wherein the measuring comprises amplifying at least 70 loci in a single reaction and using microarray or sequencing to detect amplified reaction products, and wherein the multiple loci are loci having alleles with 100% penetrance in the population;
(b) determining, on a computer, a probability of the presence and a probability of the absence of a chromosomal abnormality in the fetus by comparing the amounts from step (a) to either (i) a threshold value or (ii) an expected amount for a particular copy number hypothesis;
(c) identifying the presence or absence of a chromosomal abnormality in the fetus by selecting the probability most likely to be true; and
(d) outputting the selected probability as an indication of whether the fetus has a chromosomal abnormality, thereby detecting the presence or absence of a chromosomal abnormality in a fetus.
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Abstract
A system and method for determining the genetic data for one or a small set of cells, or from fragmentary DNA, where a limited quantity of genetic data is available, are disclosed. Genetic data for the target individual is acquired and amplified using known methods, and poorly measured base pairs, missing alleles and missing regions are reconstructed using expected similarities between the target genome and the genome of genetically related subjects. In accordance with one embodiment of the invention, incomplete genetic data is acquired from embryonic cells, fetal cells, or cell-free fetal DNA isolated from the mother'"'"'s blood, and the incomplete genetic data is reconstructed using the more complete genetic data from a larger sample diploid cells from one or both parents, with or without genetic data from haploid cells from one or both parents, and/or genetic data taken from other related individuals.
297 Citations
20 Claims
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1. A method for detecting the presence or absence of a chromosomal abnormality in a fetus, the method comprising:
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(a) measuring an amount of genetic material at multiple loci on a chromosome or chromosome segment of interest in a sample comprising cell-free DNA derived from the fetus and from the mother of the fetus, wherein the measuring comprises amplifying at least 70 loci in a single reaction and using microarray or sequencing to detect amplified reaction products, and wherein the multiple loci are loci having alleles with 100% penetrance in the population; (b) determining, on a computer, a probability of the presence and a probability of the absence of a chromosomal abnormality in the fetus by comparing the amounts from step (a) to either (i) a threshold value or (ii) an expected amount for a particular copy number hypothesis; (c) identifying the presence or absence of a chromosomal abnormality in the fetus by selecting the probability most likely to be true; and (d) outputting the selected probability as an indication of whether the fetus has a chromosomal abnormality, thereby detecting the presence or absence of a chromosomal abnormality in a fetus. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for detecting aneuploidy in a fetus, the method comprising:
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(a) measuring an amount of genetic material at multiple loci on a chromosome or chromosome segment of interest in a sample comprising cell-free DNA derived from the fetus and from the mother of the fetus, wherein the measuring comprises amplifying at least 70 loci in a single reaction and using microarray or sequencing to detect amplified reaction products, and wherein the amount of genetic material at a particular locus is determined irrespective of an identity of alleles at that locus; (b) computing, for a particular copy number hypothesis, a difference between a mean of the measured amount of genetic material at the multiple loci and an expected amount, wherein the expected amount is a mean value of genetic material at multiple loci for a reference chromosome or chromosome segment that is present in two copies; (c) determining, on a computer, a probability of a particular copy number hypothesis by comparing the difference for each particular copy number hypothesis; and (d) selecting the particular copy number hypothesis with the probability most likely to be true, thereby detecting aneuploidy if the selected hypothesis is an aneuploidy hypothesis. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification