Abstract: The present invention provides methods for predicting the treatment response of a cancer patient, using a tumour copy number profile for the patient. The method comprise analysing the copy number profile to assess whether the characteristics of at least one copy number feature are indicative of the presence of focal amplifications in the tumour genome, wherein the at least one copy number feature is selected from: copy number change-point, segment size and segment copy number. The patient is predicted as being likely to be resistant to treatment with an agent that induces the formation of micronuclei (e.g. doxorubicin) if the characteristics of the at least one copy number features are indicative of the presence of focal amplifications in the tumour genome. Also provided a related methods and systems.

Abstract: A computer-implemented method for detecting a regulatory single nucleotide polymorphism (rSNP). The method comprises determining a first score representative of a transcription factor binding affinity of a first allele, and a second score representative of a transcription factor binding affinity of a second allele. The first and second alleles are associated with a single nucleotide polymorphism (SNP), and the first score differs from the second score representing a change in the transcription factor binding affinity. A statistical significance value of the change in transcription factor binding affinity represented by the first score and the second score is then determined and compared with a threshold to determine whether the SNP is an rSNP. This disclosure also concerns a computer system and a computer program for detecting a regulatory single nucleotide polymorphism (rSNP).