Abstract: The present invention relates to monitoring a patient's response to therapy. In order to improve the monitoring of a patient's response to therapy, a method is provided to set a plurality of allele frequency thresholds to accounting for variations among tumours and patients. As the multiple allele frequency thresholds take into account differences between genes, single-nucleotide polymorphisms (SNPs), and/or patients, the multiple allele frequency thresholds may provide significant value to improve personalized therapy selection, disease surveillance, and monitoring to improve patient outcomes.

Abstract: Some embodiments are directed to a method for anonymizing a genomic data set. The method comprises receiving (410) the genomic data set and obtaining (420) a phenotypic probability for at least one phenotype informative single nucleotide polymorphism (SNP) of the genomic data set and a proportion of a population which exhibits a corresponding phenotypic trait. A re-identification risk score is computed (430) based on the genomic data set from the obtained phenotypic probability and the obtained proportion of the population which exhibits the phenotypic trait. If the re-identification risk score does not meet a threshold risk criterion, the genomic data set is anonymized by selecting (450) a phenotype informative SNP and masking (460) the selected phenotype informative SNP, and the re-identification risk score is re-computed. If the re-identification risk score meets the threshold risk criterion, the anonymized genomic data set is output (470).

Abstract: A method, a system and a computer program product for anonymization of genetic data from at least one individual wherein the genetic data are grouped into a subset of genetic data being directly related to a disease and one or more subsets of genetic data being distantly related to the disease based upon the genome pathways network, and wherein the subsets of genetic data being distantly related to the disease are anonymized.