METHODS FOR IMPROVING INFLAMMATORY BOWEL DISEASE DIAGNOSIS
First Claim
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1. A method for diagnosing inflammatory bowel disease (IBD) and/or a clinical subtype thereof in an individual, said method comprising:
- (a) analyzing a sample obtained from said individual to determine the presence or level or genotype of at least each the following markers to obtain a marker profile;
(i) the presence or level of each of the serological markers ASCA-A, ASCA-G, ANCA, pANCA, anti-OmpC antibody, anti-CBir1 antibody, anti-FlaX antibody, and anti-A4-Fla2 antibody;
(ii) the presence or level of each of the inflammation markers VEGF, ICAM, VCAM, SAA, and CRP; and
(iii) the genotype of each of the genetic markers ATG16L1, ECM1, NKX2-3, and STAT3;
(b) applying a first random forest statistical analysis to said marker profile to obtain a decision whether said sample is an IBD sample or a non-IBD sample;
(c) if said sample is an IBD sample, then applying a decision tree to said IBD sample to determine if said IBD sample is or is not an inconclusive sample; and
(d) if said IBD sample is not an inconclusive sample, then applying a second random forest statistical analysis to said IBD sample to determine a clinical subtype of IBD.
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Abstract
The present invention provides methods and systems to predict and diagnose inflammatory bowel disease (IBD) and subtypes such as ulcerative colitis (UC) and Crohn'"'"'s disease (CD) by detecting the presence, absence, level, and/or genotype of one or more sero-genetic-inflammation markers. Advantageously, with the present invention, it is possible to provide a diagnosis of IBD versus non-IBD, to rule out IBD that is inconclusive for CD and UC, and to differentiate between CD and UC with increased accuracy.
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Citations
22 Claims
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1. A method for diagnosing inflammatory bowel disease (IBD) and/or a clinical subtype thereof in an individual, said method comprising:
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(a) analyzing a sample obtained from said individual to determine the presence or level or genotype of at least each the following markers to obtain a marker profile;
(i) the presence or level of each of the serological markers ASCA-A, ASCA-G, ANCA, pANCA, anti-OmpC antibody, anti-CBir1 antibody, anti-FlaX antibody, and anti-A4-Fla2 antibody;
(ii) the presence or level of each of the inflammation markers VEGF, ICAM, VCAM, SAA, and CRP; and
(iii) the genotype of each of the genetic markers ATG16L1, ECM1, NKX2-3, and STAT3;(b) applying a first random forest statistical analysis to said marker profile to obtain a decision whether said sample is an IBD sample or a non-IBD sample; (c) if said sample is an IBD sample, then applying a decision tree to said IBD sample to determine if said IBD sample is or is not an inconclusive sample; and (d) if said IBD sample is not an inconclusive sample, then applying a second random forest statistical analysis to said IBD sample to determine a clinical subtype of IBD. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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Specification