Methods for diagnosing and monitoring the status of systemic lupus erythematosus
First Claim
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1. A method of diagnosing a patient as having a longitudinally stable classification of SLE comprising:
- detecting the expression of two or more interferon response (INFr) genes in a sample from the patient; and
diagnosing the patient as having type 1 or type 2 SLE based on analyzing the expression of the two or more genes using a statistical method, wherein expression of the two or more interferon response genes correlates with the expression of IFI27 from about 0.5 to about 1.0 and from about −
0.5 to about −
1.0 as calculated using a Pearson correlation.
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Abstract
The invention presents a method of diagnosing or monitoring the status of systemic lupus erythematosus (SLE) in a subject or patient comprising detecting the expression of all genes of a diagnostic set in the subject or patient wherein the diagnostic set comprises two or more genes having expression correlated with the classification or status of SLE; and diagnosing or monitoring the status of SLE in the subject or patient by applying at least one statistical method to the expression of the genes of the diagnostic set.
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16 Claims
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1. A method of diagnosing a patient as having a longitudinally stable classification of SLE comprising:
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detecting the expression of two or more interferon response (INFr) genes in a sample from the patient; and diagnosing the patient as having type 1 or type 2 SLE based on analyzing the expression of the two or more genes using a statistical method, wherein expression of the two or more interferon response genes correlates with the expression of IFI27 from about 0.5 to about 1.0 and from about −
0.5 to about −
1.0 as calculated using a Pearson correlation. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A method for predicting flare in a patient diagnosed with SLE comprising:
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analyzing expression in a sample from the patient to produce a gene expression profile wherein a first portion of the analysis comprises using the expression of at least one gene selected from each of at least two of the clusters 1 through 15 of Table 1 and at least one statistical method to produce a patient gene expression profile, and a second portion of the analysis comprises using expression of at least two interferon response genes and a linear algorithm to classify the patient as having type 1 SLE or type 2 SLE, wherein expression of the two or more interferon response genes correlates with the expression of IFI27 from about 0.5 to about 1.0 and from about −
0.5 to about −
1.0 as calculated using a Pearson correlation; andpredicting flare by comparing the patient gene expression profile to at least one reference profile. - View Dependent Claims (15, 16)
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Specification