Method for analyzing probability of suffering from cancer in subject
AssigneeKabushiki Kaisha Toshiba
InventorsTomomi ANDO, Mitsuko ISHIHARA, Yoshitake SANO, Takuya MIYAGAWA, Koji HASHIMOTO
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Abstract
According to one embodiment, a method for analyzing the probability of suffering from cancer in a subject is provided. The method includes counting the number of types of RNA in a sample derived from the subject with respect to the types of RNAs in which sequence variation based on RNA editing exists in comparison with a reference sequence, and determining the probability of suffering from cancer in the subject by using the number of types of RNAs obtained as an index.
Claims20
A method for analyzing the probability of suffering from cancer in a subject, comprising:
- counting the number of types of RNA in a sample derived from the subject with respect to the types of RNAs in which sequence variation based on RNA editing exists in comparison with a reference sequence;
- and
- determining the probability of suffering from cancer in the subject by using the number of types of RNAs obtained as an index.
A method for analyzing probability of suffering from cancer in a subject, comprising:
- classifying RNAs contained in a sample derived from a subject according to homology of a sequence thereof to a reference sequence;
- determining a group of representative sequences having identical sequences in an RNA population classified for each of the reference sequence;
- comparing each sequence in the representative sequence group with the corresponding reference sequence to detect sequence variation in each;
- and
- counting the number of types of the representative sequences having the sequence variation.
A method for detecting sequence variation, comprising:
- classifying RNAs contained in a sample derived from a subject by homology of the sequence thereof to a reference sequence;
- determining a group of representative sequences having identical sequences in an RNA population classified for each of the reference sequence;
- comparing each sequence of the representative sequence group with the corresponding reference sequence, and detecting sequence variations;
- and
- counting the number of types of the sequence variations.
Dependencies are inferred from the claim text.