Methods of monitoring immunosuppressive therapies in a transplant recipient
AssigneeCareDx, Inc.
InventorsRobert WOODWARD, Monica GRSKOVIC, James YEE, Mitch NELLES, David HILLER
Life of this patent
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Abstract
The present disclosure relates to methods of monitoring the status of an allograft in a transplant recipient, as well as to methods of monitoring and adjusting immunosuppressive therapies being administered to the transplant recipient.
Claims30
A method of quantifying an amount of non-self DNA in a transplant recipient of pancreatic islet cells from a transplant donor without consideration of genotype information from the transplant recipient or donor, the method comprising:
- (a) providing DNA from a sample obtained from the recipient post-transplantation;
- (b) amplifying, in a targeted manner from the DNA, each single nucleotide polymorphism (SNP) in a panel of two or more SNPs,
- (c) sequencing the amplified SNPs to obtain homozygous or heterozygous allele distribution patterns of the SNPs (SNP allele distribution patterns) in the panel;
- and
- (d) quantifying, without consideration of genotype information from the transplant donor or recipient, the amount of non-self DNA by assaying variance in homozygous or heterozygous allele distribution patterns of the SNPs in the panel as compared to expected homozygous or heterozygous allele distribution patterns, wherein individual genotyping of the donor and the recipient across the genome as a whole or portions thereof to determine which allele of each SNP in the panel belongs to the donor and the recipient is not performed.
A method of quantifying an amount of DNA molecules from non-self DNA in a transplant recipient of pancreatic islet cells from a transplant donor without consideration of genotype information from the transplant recipient or donor, the method comprising:
- (a) providing DNA from a sample obtained from the recipient post-transplantation;
- (b) amplifying, in a targeted manner from the DNA, each single nucleotide polymorphism (SNP) in a panel of two or more SNPs,
- (c) sequencing the amplified SNPs to obtain homozygous or heterozygous allele distribution patterns of the SNPs (SNP allele distribution patterns) in the panel;
- and
- (d) quantifying, without consideration of genotype information from the transplant donor or recipient, the amount of DNA molecules from non-self DNA by assaying variance in homozygous or heterozygous allele distribution patterns of the SNPs in the panel as compared to expected homozygous or heterozygous allele distribution patterns, wherein individual genotyping of the donor and the recipient across the genome as a whole or portions thereof to determine which allele of each SNP in the panel belongs to the donor and the recipient is not performed.
A method of preparing amplified SNPs useful for quantifying an amount of non-self DNA in a transplant recipient of pancreatic islet cells from a transplant donor without consideration of genotype information from the transplant recipient or donor, the method comprising:
- (a) providing DNA from a sample obtained from the recipient post-transplantation;
- (b) extracting DNA from the sample, wherein the DNA comprises non-self DNA and recipient-derived DNA;
- (c) amplifying, in a targeted manner from the DNA, each single nucleotide polymorphism (SNP) in a panel of two or more SNPs;
- (d) sequencing the amplified SNPs to obtain homozygous or heterozygous allele distribution patterns of the SNPs (SNP allele distribution patterns) in the panel;
- and
- (e) quantifying, without consideration of genotype information from the transplant donor or recipient, the amount of non-self DNA by assaying variance in homozygous or heterozygous allele distribution patterns of the SNPs in the panel as compared to expected homozygous or heterozygous allele distribution patterns, wherein individual genotyping of the donor and the recipient across the genome as a whole or portions thereof to determine which allele of each SNP in the panel belongs to the donor and the recipient is not performed.
Dependencies are inferred from the claim text.