METHODS FOR DISTINGUISHING INFLAMMATORY BOWEL DISEASES USING MICROBIAL COMMUNITY SIGNATURES

摘要

Means for identification and comparative analysis of sequence features in metagenomic whole-genome shotgun (WGS) sequence data associated with particular disease states in a subject is disclosed, along with diagnostic methods for distinguishing between different types of inflammatory bowel disease in a subject based on the microbial community signature of the subject.

主权项

1. A method of distinguishing between a subject having ulcerative colitis and a subject having Crohn's disease, comprising:
(a) determining a set of kmers with statistically significant differential abundance between a microbiome sample from a subject having ulcerative colitis (UC) and a microbiome sample from a subject having Crohn's disease (CD); (b) performing an algorithm to identify one or more groups of between 1 and 50 kmers that distinguish a subject having UC from a subject having CD, wherein such groups are termed signatures; (c) obtaining a microbiome sample from a subject having having an inflammatory bowel disease; (d) isolating and sequencing microbiome nucleic acid of the sample; (e) determining the abundance of nucleic acid in the sample corresponding to kmers comprising at least one of the signatures of (b) to produce a data set; (f) normalizing the data set; and (g) classifying the data set as being obtained from a subject having UC or a subject having CD, thereby distinguishing between a subject having UC and a subject having CD.